样式: 排序: IF: - GO 导出 标记为已读
-
A framework of distributionally robust possibilistic optimization Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2024-02-07 Romain Guillaume, Adam Kasperski, Paweł Zieliński
-
Nonparametric uncertain time series models: theory and application in brent crude oil spot price analysis Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2024-02-04 Yi Zhang, Jinwu Gao
-
Partial derivatives of uncertain fields and uncertain partial differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-11-20 Tingqing Ye
Multivariate uncertain calculus is a branch of mathematics that deals with differentiation and integration of uncertain fields based on uncertainty theory. This paper defines partial derivatives of uncertain fields for the first time by putting forward the concept of Liu field. Then the fundamental theorem, chain rule and integration by parts of multivariate uncertain calculus are derived. Finally
-
On uncertain partial differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-11-19 Yuanguo Zhu
-
A comparative study on precision of pairwise comparison matrices Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-11-03 Bice Cavallo, Jir̆í Mazurek, Jaroslav Ramík
-
Solution method and parameter estimation of uncertain partial differential equation with application to China’s population Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-08-01 Lu Yang, Yang Liu
-
A survey on uncertain graph and uncertain network optimization Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-06-08 Jin Peng, Bo Zhang, Lin Chen, Hui Li
-
Some methods to derive the priority weights from the best–worst method matrix and weight efficiency test in view of incomplete pairwise comparison matrix Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-06-04 Yejun Xu, Dayong Wang
-
A fuzzy sustainable model for COVID-19 medical waste supply chain network Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-06-02 Fariba Goodarzian, Peiman Ghasemi, Angappa Gunasekaran, Ashraf Labib
-
A subjective interpretation of Liu–Liu’s credibility measures and expectations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-05-22 Davide Petturiti
We consider credibility measures introduced by Liu and Liu and the corresponding credibility expectations, obtained through the Choquet integral. In analogy with de Finetti’s approach to probability, we show that also for credibility measures and expectations, a subjective interpretation can be given through suitable notions of coherence. In detail, coherence can be expressed equivalently in terms
-
Medical health resources allocation evaluation in public health emergencies by an improved ORESTE method with linguistic preference orderings Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-05-16 Xunjie Gou, Fumin Deng, Xinru Xu, Wei Zhou, Enrique Herrera-Viedma
-
Nonparametric estimation for uncertain differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-03-20 Liu He, Yuanguo Zhu, Yajing Gu
-
An uncertain support vector machine with imprecise observations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-01-21 Zhongfeng Qin, Qiqi Li
-
Analyzing society anti-vaccination attitudes towards COVID-19: combining latent dirichlet allocation and fuzzy association rule mining with a fuzzy cognitive map Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-01-17 Nazmiye Eligüzel
-
A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-01-06 Dounia El Bourakadi, Hiba Ramadan, Ali Yahyaouy, Jaouad Boumhidi
-
A new uncertain dominance and its properties in the framework of uncertainty theory Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-01-02 Xiaoxia Huang, Yutong Sun, Kwon Ryong Hong
-
Using slacks-based model to solve inverse DEA with integer intervals for input estimation Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2023-01-01 Atefeh Younesi, Farhad Hosseinzadeh Lotfi, Manuel Arana-Jiménez
This paper deals with an inverse data envelopment analysis (DEA) based on the non-radial slacks-based model in the presence of uncertainty employing both integer and continuous interval data. To this matter, suitable technology and formulation for the DEA are proposed using arithmetic and partial orders for interval numbers. The inverse DEA is discussed from the following question: if the output of
-
Fermat-curve based fuzzy inference system for the fuzzy logic controller performance optimization in load frequency control application Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-11-16 Hadi Vatankhah Ghadim, Mehrdad Tarafdar Hagh, Saeid Ghassem Zadeh
-
A sustainable medical waste management system design in the face of uncertainty and risk during COVID-19 Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-11-01 Naeme Zarrinpoor
-
A systematic review of uncertainty theory with the use of scientometrical method Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-09-13 Jian Zhou, Yujiao Jiang, Athanasios A. Pantelous, Weiwen Dai
-
Bayesian rule in the framework of uncertainty theory Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-09-05 Waichon Lio, Rui Kang
-
The potential and consistency of the Owen value for fuzzy cooperative games with a coalition structure Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-08-31 Zijun Li, Fanyong Meng
-
Uncertain interest rate model for Shanghai interbank offered rate and pricing of American swaption Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-08-31 Xiangfeng Yang, Hua Ke
-
Probabilistic linguistic decision-making based on the hybrid entropy and cross-entropy measures Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-08-30 Bing Fang
-
Variable structure T–S fuzzy model and its application in maneuvering target tracking Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-07-25 Xiao-li Wang, Wei-xin Xie, Liang-qun Li
-
Dynamic pricing and production control for perishable products under uncertain environment Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-07-22 Ruishu Shi, Cuilian You
-
Multiple stage optimization driven group decision making method with interval linguistic fuzzy preference relations based on ordinal consistency and DEA cross-efficiency Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-07-04 Jinpei Liu, Zijie Qiang, Peng Wu, Pengcheng Du
-
Green supplier selection and order allocation using linguistic Z-numbers MULTIMOORA method and bi-objective non-linear programming Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-06-17 Ling Gai, Hu-chen Liu, Yanjun Wang, Yuping Xing
Supplier selection and order allocation are major tasks to companies in green supply chain management. Most literatures consider these two tasks as independent sub-problems. In this paper, we propose an integrated two-stage multiple criteria programming approach to solve them systematically. The approach includes both quantitative and qualitative analyses. In the first stage, an MULTIMOORA method based
-
Uncertain hypothesis test for uncertain differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-06-03 Tingqing Ye, Baoding Liu
-
Evaluation and its derived classification in a Server-to-Client architecture based on the fuzzy relation inequality Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-05-30 Gang Xiao, Khizar Hayat, Xiaopeng Yang
-
Optimality conditions for nonlinear optimization problems with interval-valued objective function in admissible orders Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-05-21 Lifeng Li
This paper addresses the optimization problems with interval-valued objective function. We consider three types of total order relationships on the interval space. For each total order relationship, we introduce interval-valued convex functions and obtain Karush-Kuhn-Tucker (KKT) optimality conditions in an optimization problem with interval-valued objective function. In order to illustrate these conditions
-
Three-way investment decisions during the epidemic with Choquet-based bi-projection method Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-05-07 Xiang Li, Hai Wang, Zeshui Xu
-
Uncertain energy model for electricity and gas futures with application in spark-spread option price Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-04-29 Farshid Mehrdoust, Idin Noorani, Wei Xu
-
Type-1 and singleton fuzzy logic system binary classifier trained by BFGS optimization method Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-04-22 Pedro H. S. Calderano, de Castro Ribeiro Mateus Gheorghe, Rodolfo S. Teixeira, Renan P. Finotti Amaral, Ivan F. M. Menezes
-
Parameter estimation for uncertain fractional differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-04-08 Liu He, Yuanguo Zhu, Ziqiang Lu
-
Building the hierarchical Choquet integral as an explainable AI classifier via neuroevolution and pruning Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-03-02 Jih-Jeng Huang
Explainability is considered essential in enabling artificial intelligence (AI) in some crucial industries, e.g., healthcare and banking. However, conventional algorithms suffer a trade-off between readability and performance, encouraging the emergence of explainable AI. In this paper, we propose a novel method to form the hierarchical Choquet integral (HCI) as an explainable AI to retain the model's
-
Optimality conditions for invex nonsmooth optimization problems with fuzzy objective functions Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-02-22 Tadeusz Antczak
In this paper, the definitions of Clarke generalized directional \(\alpha \) -derivative and Clarke generalized gradient are introduced for a locally Lipschitz fuzzy function. Further, a nonconvex nonsmooth optimization problem with fuzzy objective function and both inequality and equality constraints is considered. The Karush-Kuhn-Tucker optimality conditions are established for such a nonsmooth extremum
-
Robust optimality analysis of non-degenerate basic feasible solutions in linear programming problems with fuzzy objective coefficients Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-02-16 Masahiro Inuiguchi, Zhenzhong Gao, Carla Oliveira Henriques
The necessarily optimal solution is known as the most reasonable solution to linear programming problems with interval/fuzzy objective function coefficients. As it remains optimal against the certain fluctuations of objective function coefficients, the necessarily optimal solution can be seen as a robust optimal solution. In this paper, we demonstrate that the necessary optimality degree of a non-degenerate
-
ELECTRE II method based on the cosine similarity to evaluate the performance of financial logistics enterprises under double hierarchy hesitant fuzzy linguistic environment Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-02-03 Ruichen Zhang, Zeshui Xu, Xunjie Gou
It is very common to use linguistic information to solve decision-making problems in real life, and the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) has been widely used because of its powerful ability of expressing complex linguistic information. There is no doubt that the comparison method of double hierarchy hesitant fuzzy linguistic elements (DHHFLEs) not only occupies an important
-
Multilinear target-based decision analysis with hybrid-information targets and performance levels Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-30 Xinwei Zhang, Qiong Feng, Shurong Tong, Hakki Eres
For several classes of decisions, the use of target-based decision analysis (TBDA) is more appropriate than utility analysis. Recent literature on TBDA mainly focuses on different expression forms of targets and performance levels, and on different types of aggregation operators in terms of multi-attribute preference functions. However, different expression forms are usually introduced separately in
-
Residual analysis and parameter estimation of uncertain differential equations Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-30 Yang Liu, Baoding Liu
All existing methods to estimate unknown parameters in uncertain differential equations are based on difference scheme, and do not work when the time intervals between observations are not short enough. In order to overcome this shortage, this paper presents a concept of residual. Afterwards, an algorithm is designed for calculating residuals of uncertain differential equation corresponding to observed
-
Cost-allocation problems for fuzzy agents in a fixed-tree network Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-10 Fernández, Julio R., Gallego, Inés, Jiménez-Losada, Andrés, Ordóñez, Manuel
Cost-allocation problems in a fixed network are concerned with distributing the costs for use by a group of clients who cooperate in order to reduce such costs. We work only with tree networks and we assume that a minimum cost spanning tree network has already been constructed and now we are interested in the maintenance costs. The classic problem supposes that each agent stays for the entire time
-
Convexity and level sets for interval-valued fuzzy sets Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-07 Huidobro, Pedro, Alonso, Pedro, Janiš, Vladimír, Montes, Susana
Convexity is a deeply studied concept since it is very useful in many fields of mathematics, like optimization. When we deal with imprecision, the convexity is required as well and some important applications can be found fuzzy optimization, in particular convexity of fuzzy sets. In this paper we have extended the notion of convexity for interval-valued fuzzy sets in order to be able to cover some
-
Finding minimal solutions to the system of addition-min fuzzy relational inequalities Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-05 Wu, Yan-Kuen, Wen, Ching-Feng, Hsu, Yuan-Teng, Wang, Ming-Xian
In the literature, a BitTorrent-like peer-to-peer file-sharing system has been modelled as a system of addition-min fuzzy relational inequalities (FRIs). Finding all minimal solutions of such a system is considered a difficult task because the minimal solutions to addition-min FRIs are usually not unique and are often infinite in number. In this paper, we study the properties of the minimal solutions
-
Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2022-01-04 Wang, Xinxin, Xu, Zeshui, Qin, Yong
As an important research direction, operational research (OR) has always attracted scholars worldwide. We study the structure, trend and prospect in the OR field by conducting a bibliometric analysis of publications in the period of 1952–2020, which are included in the Web of Science (WoS) database. Using three effective bibliometric tools, namely, VOS viewer, CiteSpace, and Bibliometrix, a total of
-
Capacity reliability under uncertainty in transportation networks: an optimization framework and stability assessment methodology Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-25 Hosseini, Ahmad, Pishvaee, Mir Saman
Destruction of the roads and disruption in transportation networks are the aftermath of natural disasters, particularly if they are of great magnitude. As a version of the network capacity reliability problem, this work researches a post-disaster transportation network, where the reliability and operational capacity of links are uncertain. Uncertainty theory is utilized to develop a model of and solve
-
Some results for the minimal optimal solution of min-max programming problem with addition-min fuzzy relational inequalities Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-19 Wu, Yan-Kuen, Wen, Ching-Feng, Hsu, Yuan-Teng, Wang, Ming-Xian
In this study, a BitTorrent-like peer-to-peer (BT-P2P) file-sharing system is reduced into a system of fuzzy relational inequalities (FRI) with addition-min composition. To study the stability of data transmission and network congestion, a min-max programming problem subject to addition-min FRI is proposed. From a cost-saving perspective, the optimal solution to the min-max programming problem may
-
A graph model for conflict resolution with inconsistent preferences among large-scale participants Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-18 Tang, Ming, Liao, Huchang
As a flexible and powerful method to resolve strategy conflicts, the graph model for conflict resolution has drawn much attention. In the graph model for conflict resolution, decision-makers need to provide their preference information for all possible scenarios. Most existing studies assumed that decision-makers adopt quantitative representation formats. However, in some real-life situations, decision-makers
-
Uncertain seepage equation in fissured porous media Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-16 Yang, Lu, Ye, Tingqing, Yang, Haizhong
Seepage equation in fissured porous media is a partial differential equation describing the variation of pressure of a given area over time. In traditional seepage equation, the strength of mass source is supposed to be deterministic. However, the mass source in practice is often affected by noise such as transformation of underground environment and geological activities. To depict the noise, some
-
An innovative unification process for probabilistic hesitant fuzzy elements and its application to decision making Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-14 Farhadinia, Bahram
The probabilistic hesitant fuzzy element (PHFE) is a worthwhile extension of hesitant fuzzy element (HFE) which is a means of allowing the decision makers more flexibility in expressing their preferences by the use of hesitant information in practical decision making process. To derive a more realistic expression of decision information, it is necessary to unify the arrangement of elements in PHFEs
-
Stability analysis for uncertain nonlinear switched systems with infinite-time domain Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-10-12 Shu, Yadong, Li, Bo
In this paper, an uncertain nonlinear switched system is a nonlinear switched system disturbed by subjective uncertainties, which can be illustrated by uncertain differential equations. Stability issues have been deeply studied on switched systems while few results about stability analysis for uncertain switched systems were published before. In order to fill this gap, three different types of stabilities
-
Min–max programming problem with constraints of addition-min-product fuzzy relation inequalities Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-07-30 Qiu, Jianjun, Yang, Xiaopeng
In this paper, we study a new type of fuzzy relation system called fuzzy relational inequalities with addition-min-product composition operations to model a peer-to-peer (P2P) file sharing system. Some properties of this addition-min-product system are investigated. We then characterize the structure of the solution set. Furthermore, to reduce the network congestion and improve the stability of data
-
Multiple attribute decision-making method based on projection model for dual hesitant fuzzy set Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-07-16 Yan Ni, Hua Zhao, Zeshui Xu, Zeyan Wang
In the decision-making process, retaining the original data information has become a most crucial step. Dual hesitant fuzzy sets (DHFS), which can reflect the original membership degree and non-membership degree information given by the DMs, is a kind of new tool for the DMs to provide the original information as much as possible. In this paper, we focus on the decision- making problem by a projection
-
Uncertain hypothesis test with application to uncertain regression analysis Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-07-09 Tingqing Ye, Baoding Liu
This paper first establishes uncertain hypothesis test as a mathematical tool that uses uncertainty theory to help people rationally judge whether some hypotheses are correct or not, according to observed data. As an application, uncertain hypothesis test is employed in uncertain regression analysis to test whether the estimated disturbance term and the fitted regression model are appropriate. In order
-
Fuzzy chance-constrained data envelopment analysis: a structured literature review, current trends, and future directions Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-07-09 Pejman Peykani, Farhad Hosseinzadeh Lotfi, Seyed Jafar Sadjadi, Ali Ebrahimnejad, Emran Mohammadi
Fuzzy data envelopment analysis (FDEA) is one of the most applicable approaches for performance assessment of peer decision making units under ambiguity which is evolving rapidly and gaining popularity under uncertain data envelopment analysis field. The goal of this paper is to review some FDEA models based on applied possibility, necessity, credibility, general fuzzy measures and chance-constrained
-
Type-2 fuzzy numbers made simple in decision making Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-07-06 Bin Zhu, Peijia Ren
For the decision-making problems based on decision makers’ judgments in terms of linguistic terms, we propose type-2 fuzzy numbers (T2FNs) that allow decision makers better formalize their judgments. A T2FN has two components: a primary membership and a secondary membership. Compared with T1FSs and interval type-2 fuzzy sets, T2FNs consider an additional dimension by introducing the secondary membership
-
An analytic solution for multi-period uncertain portfolio selection problem Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-06-26 Bo Li, Yufei Sun, Kok Lay Teo
The return rates of risky assets in financial markets are usually assumed as random variables or fuzzy variables. For the ever-changing real asset market, this assumption may not always be satisfactory. Thus, it is sometimes more realistic to take the return rates as uncertain variables. However, for the existing works on multi-period uncertain portfolio selection problems, they do not find analytic
-
Editor’s message Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-04-29 Shu-Cherng Fang
The outbreak of COVID-19 has rapidly become a global pandemic. It seriously challenges each country and government for its capacity and management of public health systems facing emergency. No single country can be an island that is immune to this pandemic, regardless of its geographic location, population profile, or status of economic development. What matters most to a country is the actions taken
-
The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-04-26 Yayi Yuan, Zeshui Xu, Yixin Zhang
With the emergence of outsourcing logistics and the rapid development of the e-commerce business, Third Party Logistics (TPL) plays an indispensable role in modern business. In the TPL provider selection process, uncertain information brings more challenges to decision makers. This paper uses probabilistic linguistic term sets (PLTSs) to describe uncertain decision making information. Firstly, we propose
-
A comparative analysis of probabilistic linguistic preference relations and distributed preference relations for decision making Fuzzy Optim. Decis. Making (IF 4.7) Pub Date : 2021-04-20 Min Xue, Chao Fu, Shanlin Yang
When a decision-maker prefers to compare different alternatives in pairs to handle real situations, there are many different expression styles that can be used. Two representative expression styles are the probabilistic linguistic preference relation (PLPR), which originates from the fuzzy linguistic approach and the distributed preference relation (DPR), which originates from the evidential reasoning