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Quality improvement of smart senior care service platform in China based on grey relational analysis and Fuzzy-QFD Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2021-01-08 Lan Xu; Yu Zhang
Purpose Smart senior care industry in China currently faces a series of practical difficulties such as an imbalance in the demand and supply structure, service products unable to cater to the actual needs of the elderly and a low degree of marketization. This study therefore proposes using grey relational analysis and the Fuzzy-quality function development (QFD) quality improvement method to help solve
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Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-30 Sheng Xu; Qingde Yue; Binbin Lu
Purpose The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation. Design/methodology/approach
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A new grey prediction model considering the data gap compensation Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-28 Che-Jung Chang; Chien-Chih Chen; Wen-Li Dai; Guiping Li
Purpose The purpose of this paper is to develop a small data set forecasting method to improve the effectiveness when making managerial decisions. Design/methodology/approach In the grey modeling process, appropriate background values are one of the key factors in determining forecasting accuracy. In this paper, grey compensation terms are developed to make more appropriate background values to further
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Hyperspectral estimation of soil organic matter content using grey relational local regression model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-24 Xuesong Cao; Xican Li; Wenjing Ren; Yanan Wu; Jieya Liu
Purpose This study aims to improve the accuracy of hyperspectral estimation of soil organic matter content. Design/methodology/approach Based on the uncertainty in spectral estimation, 76 soil samples collected in Zhangqiu District, Jinan City, Shandong Province, were studied in this paper. First, the spectral transformation of the spectral data after denoising was carried out by means of 11 transformation
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Forecasting smog in Beijing using a novel time-lag GM(1,N) model based on interval grey number sequences Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-22 Jia Shi; Pingping Xiong; Yingjie Yang; Beichen Quan
Purpose Smog seriously affects the ecological environment and poses a threat to public health. Therefore, smog control has become a key task in China, which requires reliable prediction. Design/methodology/approach This paper establishes a novel time-lag GM(1,N) model based on interval grey number sequences. Firstly, calculating kernel and degree of greyness of the interval grey number sequence respectively
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Coordination and competition in two-echelon supply chain using grey revenue-sharing contracts Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-10 Ayad Hendalianpour; Mohammad Hamzehlou; Mohammad Reza Feylizadeh; Naiming Xie; Mohammad Hossein Shakerizadeh
Purpose This study examines the potential of contracts as one of the supply chain coordination mechanisms under competitive conditions. It also investigates a two-echelon supply chain model with two manufacturers and two retailers to develop a competitive structure in grey stochastic demand. Design/methodology/approach Supply chain demand is considered as a stochastic phenomenon depending on the selling
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FDGM(1,1) model based on unified fractional grey generation operator Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-09 Wei Meng; Qian Li; Bo Zeng; Yingjie Yang
Purpose The purpose of this paper is to unify the expression of fractional grey accumulating generation operator and the reducing generation operator, and build the FDGM(1,1) model with the unified fractional grey generation operator. Design/methodology/approach By systematically studying the properties of the fractional accumulating operator and the reducing operator, and analyzing the sensitivity
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Flexible flow shop scheduling with interval grey processing time Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-07 Yuquan Wang; Naiming Xie
Purpose purpose of this paper is providing a solution for flexible flow shop scheduling problem with uncertain processing time in aeronautical composite lay-up workshop. Design/methodology/approach A flexible flow scheduling model and algorithm with interval grey processing time is established. First, according to actual needs of composite laminate shop scheduling process, interval grey number is used
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Form tolerance analysis and multi-parametric optimization of meso deep square hole EDMed on Inconel-718 plate using GRA method Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-12-03 Sandeep Kumar; S. Dhanabalan
Purpose The main objective of this experimental work is to analyze and measure the form tolerances namely flatness and squareness while machining a meso deep hole in EDM on Inconel-718 material plate. Design/methodology/approach The experiments were performed on 15 amps rated SPARKONIX-EDM as per DOE (design of experiments). Kerosene was used as a dielectric along with constant pressure of 0.2 kg/cm2
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Identifying influence patterns of regional agricultural drought vulnerability using a two-phased grey rough combined model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-11-27 Huifang Sun; Liping Fang; Yaoguo Dang; Wenxin Mao
Purpose A core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what strengths, will lead to higher vulnerability: namely, the influence patterns of RADV. Design/methodology/approach A two-phased grey rough combined model is proposed to identify influence patterns of RADV from a new
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Multidimensional research on agrometeorological disasters based on grey BP neural network Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-11-13 Bingjun Li; Shuhua Zhang
Purpose The purpose of this study to provide a reference basis for effectively managing the risk of agrometeorological disasters in Henan Province, speeding up the establishment of a scientific and reasonable system of agrometeorological disasters prevention and reduction and guaranteeing grain security. Design/methodology/approach Firstly, according to the statistical data of areas covered by natural
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A clean energy forecasting model based on artificial intelligence and fractional derivative grey Bernoulli models Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-11-09 Yonghong Zhang; Shuhua Mao; Yuxiao Kang
Purpose With the massive use of fossil energy polluting the natural environment, clean energy has gradually become the focus of future energy development. The purpose of this article is to propose a new hybrid forecasting model to forecast the production and consumption of clean energy. Design/methodology/approach Firstly, the memory characteristics of the production and consumption of clean energy
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Research and application of novel Euler polynomial-driven grey model for short-term PM10 forecasting Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-10-21 Xiwang Xiang; Xin Ma; Minda Ma; Wenqing Wu; Lang Yu
Purpose PM10 is one of the most dangerous air pollutants which is harmful to the ecological system and human health. Accurate forecasting of PM10 concentration makes it easier for the government to make efficient decisions and policies. However, the PM10 concentration, particularly, the emerging short-term concentration has high uncertainties as it is often impacted by many factors and also time varying
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Forecasting cocoa production of six major producers through ARIMA and grey models Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-10-20 Tawiah Kwatekwei Quartey-Papafio; Saad Ahmed Javed; Sifeng Liu
Purpose In the current study, two grey prediction models, Even GM (1, 1) and Non-homogeneous discrete grey model (NDGM), and ARIMA models are deployed to forecast cocoa bean production of the six major cocoa-producing countries. Furthermore, relying on Relative Growth Rate (RGR) and Doubling Time (Dt), production growth is analyzed. Design/methodology/approach The secondary data were extracted from
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Similarity-based information fusion grey model for remaining useful life prediction of aircraft engines Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-10-16 Xiaoyu Yang; Zhigeng Fang; Xiaochuan Li; Yingjie Yang; David Mba
Purpose Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remaining useful life (RUL) of aircraft engines. Design/methodology/approach
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Exploitation of the advanced manufacturing machine tool evaluation model under objective-grey information: a knowledge-based cluster with the grey relational analysis approach Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-10-15 Zitong He; Xiaolin Ma; Jie Luo; Anoop Kumar Sahu; Atul kumar Sahu; Nitin Kumar Sahu
Purpose Advanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under economical circumstances, i.e. production of high-quality of goods under feasible cost. AMMs are significant in holding the managers against their rivals and competitors with high profit margins. The authors developed the decision
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Gray clustering model based on the degree of dynamic weighted incidence for panel data and its application Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-10-10 Honghua Wu; Zhongfeng Qu
Purpose The paper aims to propose a clustering model for panel data. More specifically, the paper aims to construct a gray incidence model for panel data to solve the classification with multi-factors and multi-attributes. Design/methodology/approach The paper opted for a clustering theory study using gray incidence theory based on dynamic weighted function. The paper presents an example to verify
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Analysing and forecasting China containerized freight index with a hybrid decomposition–ensemble method based on EMD, grey wave and ARMA Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-09-22 Yanhui Chen; Bin Liu; Tianzi Wang
Purpose This paper applied grey wave forecasting in a decomposition–ensemble forecasting method for modelling the complex and non-linear features in time series data. This application aims to test the advantages of grey wave forecasting method in predicting time series with periodic fluctuations. Design/methodology/approach The decomposition–ensemble method combines empirical mode decomposition (EMD)
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Research on the regional leading industry selection of “Kashgar urban agglomerations” based on multi-attribute weighted intelligent grey target decision-making evaluation model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-09-18 Xiao Bai; Yan Xu; Sifeng Liu
Purpose The purpose of this paper is to establish the index system of leading industries in Kashgar urban agglomeration, and use the multi-attribute weighted intelligent grey target decision-making evaluation model to measure the comprehensive effect, so as to select the leading industries of Kashgar urban agglomeration. Design/methodology/approach First, 18 industries in Kashgar urban agglomerations
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Forecasting China's energy intensity by using an improved DVCGM (1, N) model considering the hysteresis effect Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-08-28 Zhaosu Meng; Xiaotong Liu; Kedong Yin; Xuemei Li; Xinchang Guo
Purpose The purpose of this paper is to examine the effectiveness of an improved dummy variables control grey model (DVCGM) considering the hysteresis effect of government policies in China's energy intensity (EI) forecasting. Design/methodology/approach Energy consumption is considered as an important driver of economic development. China has introduced policies those aim at the optimization of energy
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General grey number decision-making model and its application based on intuitionistic grey number set Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-08-18 Shi Quan Jiang; SiFeng Liu; ZhongXia Liu
Purpose The purpose of this paper is to study the grey decision model and distance measuring method of general grey number. Design/methodology/approach First, intuitionistic grey number (IGN) set and an IGN are defined by grey number probability function. Second, each interval grey number in general grey number is represented by an IGN and converts the general grey number into an IGN set. Final, the
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Study on the reliability assessment and early-warning method of online auditing based on the perspective of IT control Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-08-17 Wei Chen; Wally Smieliauskas; Sifeng Liu
Purpose An important issue in online auditing is how to improve the reliability of online auditing in order to reduce the overall audit risk. In this paper, a reliability assessment and early-warning method of online auditing based on RC (rank centroid), AHP (analytic hierarchy process) and GM (1,1) is proposed from the perspective of information technology (IT) audit risk control. Design/methodology/approach
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Grey theory–based BP-NN co-training for dense sequence long-term tendency prediction Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-08-13 Yuling Hong; Yingjie Yang; Qishan Zhang
Purpose The purpose of this paper is to solve the problems existing in topic popularity prediction in online social networks and advance a fine-grained and long-term prediction model for lack of sufficient data. Design/methodology/approach Based on GM(1,1) and neural networks, a co-training model for topic tendency prediction is proposed in this paper. The interpolation based on GM(1,1) is employed
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Application of a novel grey forecasting model with time power term to predict China's GDP Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-08-04 Chong Liu; Wanli Xie; Tongfei Lao; Yu-ting Yao; Jun Zhang
Purpose Gross domestic product (GDP) is an important indicator to measure a country's economic development. If the future development trend of a country's GDP can be accurately predicted, it will have a positive effect on the formulation and implementation of the country's future economic development policies. In order to explore the future development trend of China's GDP, the purpose of this paper
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China's overcapacity industry evaluation based on TOPSIS grey relational projection method with mixed attributes Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-28 Xiumei Hao; Mingwei Li; Yuting Chen
Purpose This paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant
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A study of the grey relational model of interval numbers for panel data Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-24 Kedong Yin; Tongtong Xu; Xuemei Li; Yun Cao
Purpose This paper aims to deal with the grey relational problem of panel data with an attribute value of interval numbers. The grey relational model of interval number for panel data is constructed in this paper. Design/methodology/approach First, three kinds of interval grey relational operators for the behavior sequence of a dimensionless system are proposed. At the same time, the positive treatment
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Forecasting key indicators of China's inbound and outbound tourism: optimistic–pessimistic method Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-22 Saad Ahmed Javed; Muhammad Ikram; Liangyan Tao; Sifeng Liu
Purpose Tourism industry is a highly complex system surrounded by many uncertainties because of its innumerable connections with other supporting systems. Considering tourism, a grey system, the current study proposes optimistic–pessimistic method (OPM). This technique can aid in improving forecast accuracy of four tourism-related indicators, inbound tourism to China, outbound tourism from China, revenues
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A novel discrete grey Riccati model and its application Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-23 Liang Zeng
Purpose To develop the theory and application of the grey prediction model, this investigation constructs a novel discrete grey Riccati model termed DGRM(1,1). Design/methodology/approach By examining a special kind of Riccati difference equation and the structure of the conventional discrete grey model (DGM), we advance a novel DGRM, and the model's prediction effect is evaluated by two numerical
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Research on the logistics development level and spatial differentiation in node city with gray target decision model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-21 Wuyong Qian; Lizhen Wang; Jue Wang; Qianqian Chen
Purpose The purpose of this study is to master the development process and the construction effectiveness of backbone circulation network in an all-round way, formulate regional logistics development planning as well as promote the development of logistics industry by scientifically evaluating the logistics development of node cities with a view to analyzing their spatial differentiation features.
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A new approach to the degree of greyness Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-05-20 Rafał Mierzwiak; Marcin Nowak; Naiming Xie
Purpose The degree of greyness may be regarded as a measure of cognitive uncertainty. Therefore, it is a part of the epistemological core of the grey systems theory. The theoretical importance of the degree of greyness concept is also due to its application in a range of uncertainty modelling methods: predictive, relational and decision-making methods. Greyness, being a result of cognitive uncertainty
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The housing demand analysis and prediction of the real estate based on the AWGM (1, N) model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-05-12 Xin Xiong; Huan Guo; Xi Hu
Purpose The purpose of this paper is to seek to drive the modernization of the entire national economy and maintain in the long-term stability of the whole society; this paper proposes an improved model based on the first-order multivariable grey model [GM (1, N) model] for predicting the housing demand and solving the housing demand problem. Design/methodology/approach This paper proposes an improved
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Prediction of grain supply and demand structural balance in China based on grey models Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-16 Weiming Yang; Bingjun Li
Purpose The purpose of this paper is to comprehensively and accurately analyze the supply and demand structural balance of grain in the context of China's agricultural supply-side reform. By subdividing and forecasting the supply and demand, it is beneficial for targeted production in the case of clear demand and supply trends of main grain varieties. Design/methodology/approach This paper forecasted
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Simulation-based joint optimization of fleet system modularity and level of repair decisions considering different failure rates of components Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-08 Manish Rawat; Bhupesh Kumar Lad; Abhishek Sharma
Purpose Modularization and level of repair analysis for fleet system influences every phase of the system life cycle. Modular based fleet system design raises new issues since the maintenance/repair services introduces further requirements than traditional product engineering. The decision of modular system and level of repair plays an important role to reduce the Life Cycle Costs (LCC) of fleet maintenance
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Integrated Taguchi-GRA-PCA for optimising the heat transfer performance of nanofluid in an automotive cooling system Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-14 Mohd Seraj; Syed Mohd Yahya; Mohd Anas; Agung Sutrisno; Mohammad Asjad
Purpose In the present study, the thermal performance of engine radiator using conventional coolant and nanofluid is determined experimentally for the different flow rates. Further, the study implemented the Integrated Taguchi-GRA-PCA for optimising the heat transfer performance. Design/methodology/approach Nanofluids were prepared by taking ethylene glycol and water (25:75 by volume) with volume fraction
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Pattern classification using tolerance rough sets based on non-additive grey relational analysis and DEMATEL Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-08 Peng Jiang; Wenbao Wang; Yi-Chung Hu; Yu-Jing Chiu; Shu-Ju Tsao
Purpose It is challenging to derive an appropriate tolerance relation for tolerance rough set-based classifiers (TRSCs). The traditional tolerance rough set employs a simple distance function to determine the tolerance relation. However, such a simple function does not take into account criterion weights and the interaction among criteria. Further, the traditional tolerance relation ignores interdependencies
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Research on faculty and staff for constructing the “double first-class” universities based on Grey–AHP comprehensive evaluation model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-07 Jihong Sun
Purpose In order to improve the competitiveness of the “double first-class” university in China, it is essential to conduct a rational, scientific study of the current status of the staff to ensure its long-term development. Design/methodology/approach Based on the grey analytic hierarchy process (Grey–AHP), this paper evaluates the situation of faculty and staff, hereby, analyzes the initiative and
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Multicharacteristics optimization of electrical discharge micro hole drilling in Mg alloy using hybrid approach of GRA–regression–PSO Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-07-06 Neeraj Ahuja; Uma Batra; Kamal Kumar
Purpose Magnesium alloys are becoming prominent as an alternative to the permanent biomedical implants. In present work, electric discharge drilling (EDD) process has been investigated and optimized for ZM21 Mg alloy that can be used for producing perforated bone implants having geometrically precise micro holes. Design/methodology/approach Planning of experiments has been carried out in accordance
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Preliminary investigations of rotary ultrasonic neurosurgical bone grinding using Grey-Taguchi optimization methodology Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-26 Atul Babbar; Vivek Jain; Dheeraj Gupta
Purpose In present research work, the effects of rotational speed, feed rate and vibration amplitude have been investigated during novel method of ultrasonic-assisted bone grinding. During dissection of tumors, firstly a bone flap is removed near the target region to create passage for grinding burr. During abrasion, heat is produced, which sometimes increases the temperature to unsafe levels. So,
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Single machine earliness/tardiness scheduling problem with grey processing times and the grey common due date Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-19 Oğuzhan Ahmet Arık
Purpose This paper presents a mixed-integer programming model for a single machine earliness/tardiness scheduling problem where the objective is to minimize total earliness/tardiness duration when the uncertainty of parameters such as processing times and due date is coded with grey numbers. Design/methodology/approach Grey theory and grey numbers are used for illustrating the uncertainty of parameters
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Crude oil price prediction based on LSTM network and GM (1,1) model Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-19 Tianxiang Yao; Zihan Wang
Purpose According to the problem of crude oil price forecasting, the purpose of this paper is to propose a multi-step prediction method based on the empirical mode decomposition, long short-term memory network and GM (1,1) model. Design/methodology/approach First, the empirical mode decomposition method is used to decompose the crude oil price series into several components with different frequencies
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Designing a medical rule model system by using rough–grey modeling Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-18 Tooraj Karimi; Arvin Hojati
Purpose In this study, a hybrid rough and grey set-based rule model is designed for diagnosis of one type of blood cancer called multiple myeloma (MM). The grey clustering method is used to combine the same condition attributes and to improve the validity of the final model. Design/methodology/approach Some tools of the rough set theory (RST) and grey incidence analysis (GIA) are used in this research
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Green growth dynamics in OECD countries: an application of grey relational analysis Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-18 Deniz Koçak
Purpose Nowadays, growth is the common target of all societies. But rather than growth, it is more important to ensure the sustainability of growth. Worldwide climate changes, damages to natural capital and financial crises necessitate the transition to green growth. The purpose of this paper is to examine the contribution of socio-economic context to green growth, which represents the sum of environmental
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Bankruptcy prediction using multivariate grey prediction models Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-18 Yi-Chung Hu; Peng Jiang; Hang Jiang; Jung-Fa Tsai
Purpose In the face of complex and challenging economic and business environments, developing and implementing approaches to predict bankruptcy has become important for firms. Bankruptcy prediction can be regarded as a grey system problem because while factors such as the liquidity, solvency and profitability of a firm influence whether it goes bankrupt, the precise manner in which these factors influence
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Grey linear programming: a survey on solving approaches and applications Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-17 Davood Darvishi; Sifeng Liu; Jeffrey Yi-Lin Forrest
Purpose The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems. Design/methodology/approach After presenting the concepts of grey systems and grey numbers, this paper surveys existing approaches for solving grey linear programming problems and applications. Also, methods and approaches
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The most livable city selection in Turkey with the grey relational analysis Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-12 Erkan Kose; Danışment Vural; Gulcin Canbulut
Purpose This study has two main objectives: (1) to expand the application areas of grey system theory and (2) to select the most livable city in Turkey. Design/methodology/approach Choosing the most livable city is a complex problem that requires many criteria to be considered. It is important to select decision points according to which the criteria selection will be made and to what extent the criteria
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Forecasting the price trends of digital currency: a hybrid model integrating the stochastic index and grey Markov chain methods Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-12 Ming-Huan Shou; Zheng-Xin Wang; Dan-Dan Li; Yi-Tong Zhou
Purpose Since the issuance in 2009, the digital currency has enjoyed an increasing popularity and has become one of the most important options for global investors. The purpose of this paper is to propose a hybrid model ( KDJ–Markov chain) which integrates the advantages of the stochastic index (KDJ) and grey Markov chain methods and provide a useful decision support tool for investors participating
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Prediction model of three-parameter interval grey number based on kernel and double information domains Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-11 Ye Li; Sandang Guo; Juan Li
Purpose The purpose of this paper is to construct a prediction model of three-parameter interval grey number based on kernel and double information domains to expand the modeling object of grey prediction model from interval grey number to three-parameter interval grey number. Design/methodology/approach First, the study decomposes the grey valued interval into upper and lower cells with the “center
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Application of grey clusters in the development of a Synthetic Model of the goals of Polish family enterprises' successors Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-04 Ewa Więcek-Janka; Joanna Majchrzak; Magdalena Wyrwicka; Gerhard Wilhelm Weber
Purpose The knowledge of goals of the successor, who is preparing to take over the business, is extremely important for the succession process and further operation of a family enterprise. The aim of this study is to structure the goals of Polish family enterprises’ successors and to develop a Synthetic Model of the goals of Polish family enterprises' successors with the application of grey clustering
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Grey portfolio analysis method Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-06-02 Marcin Nowak; Rafał Mierzwiak; Hubert Wojciechowski; Camelia Delcea
Purpose The article proposes a new method of strategic analysis. The method was called the grey portfolio analysis method. The presented method is complementary to the popular BCG matrix. The use of the grey portfolio analysis method enables to make a dynamic portfolio analysis for data with a high level of uncertainty. Design/methodology/approach First, the article presents current problems related
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Study on mechanism and filter efficacy of AGO/IAGO in the frequency domain Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-05-26 Changhai Lin; Zhengyu Song; Sifeng Liu; Yingjie Yang; Jeffrey Forrest
Purpose The purpose of this paper is to analyze the mechanism and filter efficacy of accumulation generation operator (AGO)/inverse accumulation generation operator (IAGO) in the frequency domain. Design/methodology/approach The AGO/IAGO in time domain will be transferred to the frequency domain by the Fourier transform. Based on the consistency of the mathematical expressions of the AGO/IAGO in the
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Uncertainty representation and information measurement of grey numbers Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-05-20 Nanlei Chen; Naiming Xie
Purpose The purpose of this paper is to propose an uncertainty representation and information measurement method for characterizing grey numbers, estimating their internal laws and solving how to generate them based on available information data in the real world. Design/methodology/approach This paper attempts to present a new mathematical methodology in the field of grey numbers. The generalized
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Optimization of coal handling system performability for a thermal power plant using PSO algorithm Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-05-04 Subhash Malik; P.C. Tewari
Purpose This paper deals with the optimization of coal handling system performability for a thermal power plant. Design/methodology/approach Coal handling system comprises of five subsystems, namely Wagon Tippler, Crusher, Bunker, Feeder and Coal Mill. The partial differential equations are derived on the behalf of transition diagram by using the Markov approach. These partial differential equations
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A case study concerning the 5S lean technique in a scientific equipment manufacturing company Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-04-10 Shaman Gupta; Pankaj Chandna
Purpose This paper's purpose is to help a scientific equipment company make use of the 5S tool on the shop floor so that the organization can become progressively beneficial and increasingly productive. Design/methodology/approach The organization has adopted a simple approach for making a suitable team for 5S tool implementation at the workplace. After that, they have used three types of data-collection
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Development of intelligent system for predicting MTR in EDC process using powder metallurgical tools Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-04-09 Eswara Krishna Mussada; P.K. Patowari
Purpose The current research work presents the application of fuzzy logic modeling for electric discharge coating (EDC) process for predicting the material transfer rate (MTR), which has the capability of producing thick and thin films on the conductive substrate material. Design/methodology/approach Thirty-two real-time experiments were conducted, and fuzzy rules were framed from the inference made
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A fuzzy approach to identify fish red spot disease Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-04-06 Sourav Kumar Bhoi; Sanjaya Kumar Panda; Kalyan Kumar Jena; Chittaranjan Mallick; Akhtar Khan
Purpose Fish are considered as one of the important aquatic animals in the planet. They play a vital role in the nutrient cycle. They can be considered as one of the healthy food for human beings. They can also act as a solution for some of the human health problems. If fish are affected by several diseases, they in turn provide an adverse effect on human health. Therefore, it is very much essential
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Estimation of optimal cutting conditions during machining of CP-Ti grade 2 in fuzzy–VIKOR context: A hybrid approach Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-03-29 Akhtar Khan; Kalipada Maity
Purpose To explore a hybrid approach in order to attain optimal cutting conditions proficient of generating adequate dimensional accuracy in combination with virtuous surface finish during turning of commercially pure titanium (CP-Ti) grade 2. Design/methodology/approach In the present paper, an application of the hybrid fuzzy–VIKOR method has been proposed to estimate an optimal combination of process
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Finite element modeling of material removal rate in micro-EDM process with and without ultrasonic vibration Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-03-26 Mayank Choubey; K.P. Maity; Abhishek Sharma
Purpose This research explores the finite element modeling of the crater and material removal rate (MRR) in micro-electrical discharge machining (micro-EDM) with and without vibration of the workpiece. The application of workpiece vibration in the micro-EDM process improved flushing efficiency and enhanced material removal rate (MRR). Design/methodology/approach In this work, the two-dimensional axisymmetric
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An assessment into mechanical properties and microstructural behavior of TIG welded Ti-6Al-4V titanium alloy Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-03-18 Saurabh Dewangan; Suraj Kumar Mohapatra; Abhishek Sharma
Purpose Titanium (Ti) alloys are in high demand in manufacturing industries all over the world. The property like high strength to weight ratio makes Ti alloys highly recommended for aerospace industries. Ti alloys possess good weldability, and therefore, they were extensively investigated with regard to strength and metallurgical properties of welded joint. This study aims to deal with the analysis
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Grey modeling for thermal spray processing parameter analysis Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-03-16 Meimei Liu; Yicha Zhang; Wenjie Dong; Zexin Yu; Sifeng Liu; Samuel Gomes; Hanlin Liao; Sihao Deng
Purpose This paper presents the application of grey modeling for thermal spray processing parameter analysis in less data environment. Design/methodology/approach Based on processing knowledge, key processing parameters of thermal spray process are analyzed and preselected. Then, linear and non-linear grey modeling models are integrated to mine the relationships between different processing parameters
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Research on project risk response strategy selection based on grey K-shell algorithm Grey Syst. Theory Appl. (IF 2.268) Pub Date : 2020-01-17 Yanfeng Chu; Zhongren Wang
Purpose There are a large number of interdependent risk factors in complex project. Risk response strategy without considering risk correlation cannot achieve good risk response. Therefore, the purpose of this paper is to propose a risk response strategy selection model considering risk correlation based on the grey K-shell algorithm. Design/methodology/approach This paper mainly focuses on the measurement
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