-
Bi-Level Optimization to Enhance Intensity Modulated Radiation Therapy Planning Informatica (IF 3.3) Pub Date : 2024-09-18 Juan José Moreno, Savíns Puertas-Martín, Juana L. Redondo, Pilar M. Ortigosa, Anna Zawadzka, Pawel Kukołowicz, Robert Szmurło, Ignacy Kaliszewski, Janusz Miroforidis, Ester M. Garzón
Intensity Modulated Radiation Therapy is an effective cancer treatment. Models based on the Generalized Equivalent Uniform Dose (gEUD) provide radiation plans with excellent planning target volume coverage and low radiation for organs at risk. However, manual adjustment of the parameters involved in gEUD is required to ensure that the plans meet patient-specific physical restrictions. This paper proposes
-
Beyond Quasi-Adjoint Graphs: On Polynomial-Time Solvable Cases of the Hamiltonian Cycle and Path Problems Informatica (IF 3.3) Pub Date : 2024-09-18 Marta Kasprzak
The Hamiltonian cycle and path problems are fundamental in graph theory and useful in modelling real-life problems. Research in this area is directed toward designing better and better algorithms for general problems, but also toward defining new special cases for which exact polynomial-time algorithms exist. In the paper, such new classes of digraphs are proposed. The classes include, among others
-
Confidential Transaction Balance Verification by the Net Using Non-Interactive Zero-Knowledge Proofs Informatica (IF 3.3) Pub Date : 2024-08-19 Aušrys Kilčiauskas, Antanas Bendoraitis, Eligijus Sakalauskas
One of the main trends for the monitoring and control of business processes is to implement these processes via private blockchain systems. These systems must ensure data privacy and verifiability for the entire network here denoted by ‘Net’. In addition, every business activity should be declared to a trusted third party (TTP), such as an Audit Authority (AA), for tax declaration and collection purposes
-
Offloaded Data Processing Energy Efficiency Evaluation Informatica (IF 3.3) Pub Date : 2024-07-24 Victor Prokhorenko, Muhammad Ali Babar
The growing popularity of mobile and cloud computing raises new challenges related to energy efficiency. This work evaluates four various SQL and NoSQL database solutions in terms of energy efficiency. Namely, Cassandra, MongoDB, Redis, and MySQL are taken into consideration. This study measures energy efficiency of the chosen data storage solutions on a selected set of physical and virtual computing
-
An Improved Algorithm for Extracting Frequent Gradual Patterns Informatica (IF 3.3) Pub Date : 2024-07-24 Edith Belise Kenmogne, Idriss Tetakouchom, Clémentin Tayou Djamegni, Roger Nkambou, Laurent Cabrel Tabueu Fotso
Frequent gradual pattern extraction is an important problem in computer science widely studied by the data mining community. Such a pattern reflects a co-variation between attributes of a database. The applications of the extraction of the gradual patterns concern several fields, in particular, biology, finances, health and metrology. The algorithms for extracting these patterns are greedy in terms
-
Demystifying the Stability and the Performance Aspects of CoCoSo Ranking Method under Uncertain Preferences Informatica (IF 3.3) Pub Date : 2024-07-23 Sundararajan Dhruva, Raghunathan Krishankumar, Dragan Pamucar, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran
This paper attempts to demystify the stability of CoCoSo ranking method via a comprehensive simulation experiment. In the experiment, matrices of different dimensions are generated via Python with fuzzy data. Stability is investigated via adequacy and partial adequacy tests. The test passes if the ranking order does not change even after changes are made to entities, and the partial pass signifies
-
Solution of Inverse Problem for Diffusion Equation with Fractional Derivatives Using Metaheuristic Optimization Algorithm Informatica (IF 3.3) Pub Date : 2024-07-16 Rafał Brociek, Mateusz Goik, Jakub Miarka, Mariusz Pleszczyński, Christian Napoli
The article focuses on the presentation and comparison of selected heuristic algorithms for solving the inverse problem for the anomalous diffusion model. Considered mathematical model consists of time-space fractional diffusion equation with initial boundary conditions. Those kind of models are used in modelling the phenomena of heat flow in porous materials. In the model, Caputo’s and Riemann-Liouville’s
-
Identification of the Optimal Neural Network Architecture for Prediction of Bitcoin Return Informatica (IF 3.3) Pub Date : 2024-07-09 Tea Šestanović, Tea Kalinić Milićević
Neural networks (NNs) are well established and widely used in time series forecasting due to their frequent dominance over other linear and nonlinear models. Thus, this paper does not question their appropriateness in forecasting cryptocurrency prices; rather, it compares the most commonly used NNs, i.e. feedforward neural networks (FFNNs), long short-term memory (LSTM) and convolutional neural networks
-
Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation Informatica (IF 3.3) Pub Date : 2024-06-17 Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo
Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce. Another concern lies in their need for transparency. Consequently, this paper addresses those problems by proposing an online solution for identifying and explaining spam reviews, incorporating data drift adaptation. It integrates (i)
-
Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions Informatica (IF 3.3) Pub Date : 2024-05-22 Anett Erdmann, Morteza Yazdani, Jose Manuel Mas Iglesias, Cristina Marin Palacios
Artificial Intelligence (AI) in the price management process is being applied in business practice and research to a variety of pricing use cases that can be augmented or automated, providing opportunities as a forecasting tool or for price optimization. However, the complexity of evaluating the technology to prioritize implementation is challenging, especially for small and medium enterprises (SMEs)
-
Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis Informatica (IF 3.3) Pub Date : 2024-05-16 Diana Kalibatienė, Jolanta Miliauskaitė, Asta Slotkienė
Ontologies are used to semantically enrich different types of information systems (IS), ensure a reasoning on their content and integrate heterogeneous IS at the semantical level. On the other hand, fuzzy theory is employed in IS for handling the uncertainty and fuzziness of their attributes, resulting in a fully fuzzy IS. As such, ontology- and fuzzy-based IS (i.e. ontology and fuzzy IS) are being
-
ALMERIA: Boosting Pairwise Molecular Contrasts with Scalable Methods Informatica (IF 3.3) Pub Date : 2024-05-14 Rafael Mena-Yedra, Juana López Redondo, Horacio Pérez-Sánchez, Pilar Martinez Ortigosa
This work introduces ALMERIA, a decision-support tool for drug discovery. It estimates compound similarities and predicts activity, considering conformation variability. The methodology spans from data preparation to model selection and optimization. Implemented using scalable software, it handles large data volumes swiftly. Experiments were conducted on a distributed computer cluster using the DUD-E
-
A Deep Learning Model for Multi-Domain MRI Synthesis Using Generative Adversarial Networks Informatica (IF 3.3) Pub Date : 2024-04-29 Le Hoang Ngoc Han, Ngo Le Huy Hien, Luu Van Huy, Nguyen Van Hieu
In recent years, Magnetic Resonance Imaging (MRI) has emerged as a prevalent medical imaging technique, offering comprehensive anatomical and functional information. However, the MRI data acquisition process presents several challenges, including time-consuming procedures, prone motion artifacts, and hardware constraints. To address these limitations, this study proposes a novel method that leverages
-
A Temporal Variable-Scale Clustering Method on Feature Identification for Policy Public-Opinion Management Informatica (IF 3.3) Pub Date : 2024-04-26 Ai Wang, Xuedong Gao, Mincong Tang
The development of various digital social network platforms has caused public opinion to play an increasingly important role in the policy making process. However, due to the fact that public opinion hotspots usually change rapidly (such as the phenomenon of public opinion inversion), both the behaviour feature and demand feature of netizens included in the public opinion often vary over time. Therefore
-
Three New Design Patterns for Scalable Agent-Based Computing and Simulation Informatica (IF 3.3) Pub Date : 2024-04-19 Mateusz Najdek, Mateusz Paciorek, Wojciech Turek, Aleksander Byrski
Multi-agent approach is very popular for modelling and simulation of complex phenomena, design and programming of decentralised computing systems. Asynchronous beings, which do not share state but communicate using messages are a convenient abstraction for representing various phenomena observed in the real world. When the number of the considered agents grows, the designers and developers of such
-
A General Framework for Providing Interval Representations of Pareto Optimal Outcomes for Large-Scale Bi- and Tri-Criteria MIP Problems Informatica (IF 3.3) Pub Date : 2024-04-12 Grzegorz Filcek, Janusz Miroforidis
The Multi-Objective Mixed-Integer Programming (MOMIP) problem is one of the most challenging. To derive its Pareto optimal solutions one can use the well-known Chebyshev scalarization and Mixed-Integer Programming (MIP) solvers. However, for a large-scale instance of the MOMIP problem, its scalarization may not be solved to optimality, even by state-of-the-art optimization packages, within the time
-
Advancing Research Reproducibility in Machine Learning through Blockchain Technology Informatica (IF 3.3) Pub Date : 2024-04-11 Ernestas Filatovas, Linas Stripinis, Francisco Orts, Remigijus Paulavičius
Like other disciplines, machine learning is currently facing a reproducibility crisis that hinders the advancement of scientific research. Researchers face difficulties reproducing key results due to the lack of critical details, including the disconnection between publications and associated models, data, parameter settings, and experimental results. To promote transparency and trust in research,
-
Minimal Surfaces and the Plateau Problem: Numerical Methods and Applications Informatica (IF 3.3) Pub Date : 2024-04-09 Mifodijus Sapagovas, Vytautas Būda, Saulius Maskeliūnas, Olga Štikonienė, Artūras Štikonas
This article offers a comprehensive overview of the results obtained through numerical methods in solving the minimal surface equation, along with exploring the applications of minimal surfaces in science, technology, and architecture. The content is enriched with practical examples highlighting the diverse applications of minimal surfaces. PDF XML
-
Optimized Multi-Modular Services: Empowering Earth Observation Data Processing Informatica (IF 3.3) Pub Date : 2024-04-04 Arthur Lalayan, Hrachya Astsatryan, Suren Poghosyan, Gregory Giuliani
The significance of earth observation data spans diverse fields and domains, driving the need for efficient management. Nevertheless, the exponential increase in data volume brings new challenges that complicate processing and storing data. This article proposes an optimized multi-modular service for earth observation data management in response to these challenges. The suggested approach focuses on
-
Proportional Fuzzy Set Extensions and Imprecise Proportions Informatica (IF 3.3) Pub Date : 2024-03-29 Cengiz Kahraman
The extensions of ordinary fuzzy sets are problematic because they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. This will be more difficult when three or more digits’ membership degrees have to be assigned. Instead, proportional relations between the degrees of parameters of a fuzzy set extension will
-
Review and Computational Study on Practicality of Derivative-Free DIRECT-Type Methods Informatica (IF 3.3) Pub Date : 2024-03-26 Linas Stripinis, Remigijus Paulavičius
Derivative-free DIRECT-type global optimization algorithms are increasingly favoured for their simplicity and effectiveness in addressing real-world optimization challenges. This review examines their practical applications through a systematic analysis of scientific journals and computational studies. In particular, significant challenges in reproducibility have been identified with practical problems
-
An Extended EDAS Approach Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-Valued Intuitionistic Fuzzy Information Informatica (IF 3.3) Pub Date : 2024-03-15 Jing Wang, Qiang Cai, Guiwu Wei, Ningna Liao
The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that multiple classical methods with IVIFSs’ information have been applied to many practical issues. In this paper, we extended the classical EDAS method based
-
Performance Evaluation of Different Dispatching Rules and Heuristics in a Fully Automated Parking System Informatica (IF 3.3) Pub Date : 2024-03-12 Nurhan Dudakli, Adil Baykasoğlu
Conventional parking lots struggle to meet demand, prompting the rise of Fully Automated Parking Systems (FAPS), offering eco-friendly alternatives with advanced technology. However, operational challenges persist, especially in planning and scheduling. Real-time responsiveness necessitates dispatching rules and heuristics. This study comprehensively explores FAPS operational dynamics, assessing various
-
Location Selection of Electric Vehicle Charging Stations Through Employing the Spherical Fuzzy CoCoSo and CRITIC Technique Informatica (IF 3.3) Pub Date : 2024-03-08 Rong Yan, Yongguang Han, Huiyuan Zhang, Cun Wei
Energy conservation and emission reduction are important policies vigorously promoted in China. With the continuous popularization of the concept of green transportation, electric vehicles have become a green transportation tool with good development prospects, greatly reducing the pressure on the environment and resources caused by rapid economic growth. The development status of electric vehicles
-
Leakage-Resilient Hybrid Signcryption in Heterogeneous Public-key Systems Informatica (IF 3.3) Pub Date : 2024-03-06 Ting-Chieh Ho, Yuh-Min Tseng, Sen-Shan Huang
Signcryption integrates both signature and encryption schemes into single scheme to ensure both content unforgeability (authentication) and message confidentiality while reducing computational complexity. Typically, both signers (senders) and decrypters (receivers) in a signcryption scheme belong to the same public-key systems. When signers and decrypters in a signcryption scheme belong to heterogeneous
-
MINI Element for the Navier–Stokes System in 3D: Vectorized Codes and Superconvergence Informatica (IF 3.3) Pub Date : 2024-02-23 Radek Kučera, Vladimír Arzt, Jonas Koko
A fast vectorized codes for assembly mixed finite element matrices for the generalized Navier–Stokes system in three space dimensions in the MATLAB language are proposed by the MINI element. Vectorization means that the loop over tetrahedra is avoided. Numerical experiments illustrate computational efficiency of the codes. An experimental superconvergence rate for the pressure component is established
-
Shadow Minimization Boolean Function Reconstruction Informatica (IF 3.3) Pub Date : 2024-02-14 Levon Aslanyan, Gyula Katona, Hasmik Sahakyan
A special class of monotone Boolean functions coming from shadow minimization theory of finite set-systems – KK-MBF functions – is considered. These functions are a descriptive model for systems of compatible groups of constraints, however, the class of all functions is unambiguously complex and it is sensible to study relatively simple subclasses of functions such as KK-MBF. Zeros of KK-MBF functions
-
-
Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector Informatica (IF 3.3) Pub Date : 2023-12-06 Jafar Torkzadeh, Dragan Pamucar, Sadegh Niroomand
In this study, effect of the environmental factors on the organizational behaviour in higher education sector is analysed and these factors are prioritized. For this aim, first, the environmental criteria affecting the organizational behaviour of higher education sector are selected from the literature. Then, as a solution methodology, (i) some experts are asked to determine pairwise comparison of
-
Selection of Suitable Cloud Vendors for Health Centre: A Personalized Decision Framework with Fermatean Fuzzy Set, LOPCOW, and CoCoSo Informatica (IF 3.3) Pub Date : 2023-11-23 Sundararajan Dhruva, Raghunathan Krishankumar, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran, Amir H. Gandomi
Cloud computing has emerged as a transformative technology in the healthcare industry, but selecting the most suitable CV (“cloud vendor”) remains a complex task. This research presents a decision framework for CV selection in the healthcare industry, addressing the challenges of uncertainty, expert hesitation, and conflicting criteria. The proposed framework incorporates FFS (“Fermatean fuzzy set”)
-
A Novel Entropy Measure with its Application to the COPRAS Method in Complex Spherical Fuzzy Environment Informatica (IF 3.3) Pub Date : 2023-11-20 Ebru Aydoğdu, Başak Aldemir, Elif Güner, Halis Aygün
A complex spherical fuzzy set (CSFS) is a generalization of the spherical fuzzy set (SFS) to express the two-dimensional ambiguous information in which the range of positive, neutral and negative degrees occurs in the complex plane with the unit disk. Considering the vital importance of the concept of CSFSs which is gaining massive attention in the research area of two-dimensional uncertain information
-
Circular Intuitionistic Fuzzy ELECTRE III Model for Group Decision Analysis Informatica (IF 3.3) Pub Date : 2023-11-17 Binyamin Yusoff, Dian Pratama, Adem Kilicman, Lazim Abdullah
ELECTRE III is a well-established outranking relation model used to address the ranking of alternatives in multi-criteria and multi-actor decision-making problems. It has been extensively studied across various scientific fields. Due to the complexity of decision-making under uncertainty, some higher-order fuzzy sets have been proposed to effectively model this issue. Circular Intuitionistic Fuzzy
-
An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering Informatica (IF 3.3) Pub Date : 2023-11-07 Nicolás C. Cruz, Savíns Puertas-Martín, Juana L. Redondo, Pilar M. Ortigosa
Ligand-Based Virtual Screening accelerates and cheapens the design of new drugs. However, it needs efficient optimizers because of the size of compound databases. This work proposes a new method called Tangram CW. The proposal also encloses a knowledge-based filter of compounds. Tangram CW achieves comparable results to the state-of-the-art tools OptiPharm and 2L-GO-Pharm using about a tenth of their
-
A Data Quality Model for Master Data Repositories Informatica (IF 3.3) Pub Date : 2023-11-06 Fernando Gualo, Ismael Caballero, Moisés Rodríguez, Mario Piattini
Master data has been revealed as one of the most potent instruments to guarantee adequate levels of data quality. The main contribution of this paper is a data quality model to guide repeatable and homogeneous evaluations of the level of data quality of master data repositories. This data quality model follows several international open standards: ISO/IEC 25012, ISO/IEC 25024, and ISO 8000-1000, enabling
-
Quantified Products: Case Studies, Features and their Design Implications Informatica (IF 3.3) Pub Date : 2023-10-12 Kurt Sandkuhl
In many industrial sectors, the current digitalization trend resulted in new products and services that exploit the potential of built-in sensors, actuators, and control systems. The business models related to these products and services usually are data-driven and integrated into digital ecosystems. Quantified products (QP) are a new product category that exploits data of individual product instances
-
Circular Pythagorean Fuzzy Sets and Applications to Multi-Criteria Decision Making Informatica (IF 3.3) Pub Date : 2023-09-18 Mahmut Can Bozyi˙ği˙t, Murat Olgun, Mehmet Ünver
In this paper, we introduce the concept of circular Pythagorean fuzzy set (value) (C-PFS(V)) as a new generalization of both circular intuitionistic fuzzy sets (C-IFSs) proposed by Atannassov and Pythagorean fuzzy sets (PFSs) proposed by Yager. A circular Pythagorean fuzzy set is represented by a circle that represents the membership degree and the non-membership degree and whose centre consists of
-
Fog Computing in Healthcare: Systematic Review Informatica (IF 3.3) Pub Date : 2023-09-15 Dalius Navakauskas, Mantas Kazlauskas
Healthcare has seen many advances in sensor technology, but with recent improvements in networks and the addition of the Internet of Things, it is even more promising. Current solutions to managing healthcare data with cloud computing may be unreliable at the most critical moments. High response latency, large volumes of data, and security are the main issues of this approach. The promising solution
-
A New Decision Making Method for Selection of Optimal Data Using the Von Neumann-Morgenstern Theorem Informatica (IF 3.3) Pub Date : 2023-09-14 Julia GarcÍa Cabello
The quality of the input data is amongst the decisive factors affecting the speed and effectiveness of recurrent neural network (RNN) learning. We present here a novel methodology to select optimal training data (those with the highest learning capacity) by approaching the problem from a decision making point of view. The key idea, which underpins the design of the mathematical structure that supports
-
A Unified Multiplicative Group Best-Worst Method with a New Assessment Approach for Dissimilar Markets Informatica (IF 3.3) Pub Date : 2023-09-07 Tankut Atan, Gül Tekin Temur
The Best-Worst Method (BWM) is a recently introduced, innovative multi-criteria decision-making (MCDM) technique used to determine criterion weights for selection processes. However, another method is needed to complete the selection of the most preferred alternative. In this research, we propose a group decision-making methodology based on the multiplicative BWM to make this selection. Furthermore
-
Causal Inference Applied to Explaining the Appearance of Shadow Phenomena in an Image Informatica (IF 3.3) Pub Date : 2023-09-01 Jairo Ivan Vélez Bedoya, Manuel Andres González Bedia, Luis Fernando Castillo Ossa, Jeferson Arango López, Fernando Moreira
Due to the complexity and lack of transparency of recent advances in artificial intelligence, Explainable AI (XAI) emerged as a solution to enable the development of causal image-based models. This study examines shadow detection across several fields, including computer vision and visual effects. Three-fold approaches were used to construct a diverse dataset, integrate structural causal models with
-
An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems Informatica (IF 3.3) Pub Date : 2023-08-28 Partha Pratim Deb, Diptendu Bhattacharya, Indranath Chatterjee, Prasenjit Chatterjee, Edmundas Kazimieras Zavadskas
Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on several criteria like usability, functionality, e-learning
-
Quasi-Owen Value for Games on Augmenting Systems with a Coalition Structure Informatica (IF 3.3) Pub Date : 2023-08-25 Jie Tang, Zijun Li, Fanyong Meng
This paper focuses on games on augmenting systems with a coalition structure that can be seen as an extension of games with a coalition structure and games on augmenting systems. Considering the player payoffs, the quasi-Owen value is defined. To show the rationality of this payoff index, five representative axiomatic systems are established. The population monotonic allocation scheme (PMAS) and the
-
Multi-Querying: A Subsequence Matching Approach to Support Multiple Queries Informatica (IF 3.3) Pub Date : 2023-06-28 Wen Liu, Mingrui Ma, Peng Wang
The widespread use of sensors has resulted in an unprecedented amount of time series data. Time series mining has experienced a particular surge of interest, among which, subsequence matching is one of the most primary problem that serves as a foundation for many time series data mining techniques, such as anomaly detection and classification. In literature there exist many works to study this problem
-
A Robust and High-Capacity Coverless Information Hiding Based on Combination Theory Informatica (IF 3.3) Pub Date : 2023-06-15 Kurnia Anggriani, Shu-Fen Chiou, Nan-I Wu, Min-Shiang Hwang
Many confidential multimedia, such as personal privacy, commercial, and military secrets, are transmitted on the Internet. To prevent this confidential multimedia from being eavesdropped on by illegal users, information-hiding technology is a leading research topic nowadays. One of the important research topics of information-hiding technology is coverless information hiding, which utilizes the unchanged
-
On Order Policies for a Perishable Product in Retail Informatica (IF 3.3) Pub Date : 2023-06-01 Eligius M.T. Hendrix, Karin G.J. Pauls-Worm, Maartje V. de Jong
We study an inventory control problem of a perishable product with a fixed short shelf life in Dutch retail practice. The demand is non-stationary during the week but stationary over the weeks, with mixed LIFO and FIFO withdrawal. The supermarket uses a service level requirement. A difficulty is that the age-distribution of products in stock is not always known. Hence, the challenge is to derive practical
-
Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus Informatica (IF 3.3) Pub Date : 2023-05-26 Zhang-Peng Tian, Fu-Xin Xu, Ru-Xin Nie, Xiao-Kang Wang, Jian-Qiang Wang
In practical linguistic multi-criteria group decision-making (MCGDM) problems, words may indicate different meanings for various decision makers (DMs), and a high level of group consensus indicates that most of the group members are satisfied with the final solution. This study aims at developing a novel framework that considers the personalized individual semantics (PISs) and group consensus of DMs
-
Deriving Homogeneous Subsets from Gene Sets by Exploiting the Gene Ontology Informatica (IF 3.3) Pub Date : 2023-05-22 Quirin Stier, Michael C. Thrun
The Gene Ontology (GO) knowledge base provides a standardized vocabulary of GO terms for describing gene functions and attributes. It consists of three directed acyclic graphs which represent the hierarchical structure of relationships between GO terms. GO terms enable the organization of genes based on their functional attributes by annotating genes to specific GO terms. We propose an information-retrieval
-
TOPSIS Methods for Probabilistic Hesitant Fuzzy MAGDM and Application to Performance Evaluation of Public Charging Service Quality Informatica (IF 3.3) Pub Date : 2023-04-26 Quan-Song Qi
The performance evaluation of public charging service quality is frequently viewed as the multiple attribute group decision-making (MAGDM) issue. In this paper, an extended TOPSIS model is established to provide new means to solve the performance evaluation of public charging service quality. The TOPSIS method integrated with FUCOM method in probabilistic hesitant fuzzy circumstance is applied to rank
-
A Lance Distance-Based MAIRCA Method for q-Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information Informatica (IF 3.3) Pub Date : 2023-04-24 Haolun Wang, Tingjun Xu, Dragan Pamucar, Xuxiang Li, Liangqing Feng
The purpose of this manuscript is to develop a novel MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method to solve the MCDM (Multiple Criteria Decision-Making) problems with completely unknown weights in the q-rung orthopair fuzzy (q-ROF) setting. Firstly, the new concepts of q-ROF Lance distance are defined and some related properties are discussed in this paper, from which we establish
-
A Novel Z-Fuzzy AHP&EDAS Methodology and Its Application to Wind Turbine Selection Informatica (IF 3.3) Pub Date : 2023-03-30 Nurdan Tüysüz, Cengiz Kahraman
Modelling the reliability information in decision making process is an important issue to inclusively reflect the thoughts of decision makers. The Evaluation Based on Distance from Average Solution (EDAS) and Analytic Hierarchy Process (AHP) are frequently used MCDM methods, yet their fuzzy extensions in the literature are incapable of representing the reliability of experts’ fuzzy preferences, which
-
Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty Informatica (IF 3.3) Pub Date : 2023-03-27 Sina Salimian, Seyed Meysam Mousavi, Zenonas Turskis
This study introduces a new multi-criteria group decision-making model in organ transplant transportation networks under uncertain situations. A new combined weighting approach is presented to obtain expert weights with various kinds of opinions by integrating similarity measure and subjective judgments of experts. Also, the CRITIC approach is given to obtain transportation criteria weights. Finally
-
Isomorphism Between Two Vector General Fuzzy Automata Informatica (IF 3.3) Pub Date : 2023-03-23 Marzieh Shamsizadeh, Ehsan Movahednia, Manuel De la Sen
In this paper, at first, we define the notion of general fuzzy automaton over a field; we call this automaton vector general fuzzy automaton (VGFA). Moreover, we present the concept of max-min vector general fuzzy automaton. We show that if two max-min VGFA are similar, they constitute an isomorphism. After that, we prove that if two VGFA constitute an isomorphism with threshold α, they are equivalent
-
Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data Informatica (IF 3.3) Pub Date : 2023-03-13 Mehrdad Estiri, Jalil Heidary Dahooie, Edmundas Kazimieras Zavadskas
Due to the increasing importance of evaluating the quality of health care services using the patient-centred approach, this study aimed to propose a novel framework by combining the SERVQUAL model and multi-attribute decision-making (MADM) methods using interval-valued triangular fuzzy numbers (IVTFN). In this study, after an initial overview of related work and expert opinions, a list of the most
-
A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity Informatica (IF 3.3) Pub Date : 2023-02-28 Ali Ebadi Torkayesh, Erfan Babaee Tirkolaee, Aram Bahrini, Dragan Pamucar, Amir Khakbaz
Multiple Criteria Decision-Making (MCDM) is one of the most reliable and applicable decision-making tools to address real-life complex and multi-dimensional problems in accordance with the concepts of sustainable development and circular economy. Although there have been several literature reviews on several MCDM methods, there is a research gap in conducting a literature review on the Multi-Attributive
-
Burst Ratio of Packet Losses in Individual Network Flows Informatica (IF 3.3) Pub Date : 2023-02-08 Andrzej Chydzinski, Blazej Adamczyk
We study the burst ratio of packet loss processes in networking. This parameter characterizes the inclination of packet losses to form long, consecutive sequences. Such long sequences of losses may have a negative impact on multimedia streams, particularly those of real-time type. In packet networks, the burst ratio is often elevated due to overflows of packet buffers, which are present in all routers
-
A Brief Survey of Clipping and Intersection Algorithms with a List of References (including Triangle-Triangle Intersections) Informatica (IF 3.3) Pub Date : 2023-01-27 Vaclav Skala
This contribution presents a brief survey of clipping and intersection algorithms in ${E^{2}}$ and ${E^{3}}$ with a nearly complete list of relevant references. Some algorithms use the projective extension of the Euclidean space and vector-vector operations, which support GPU and SSE use.This survey is intended to help researchers, students, and practitioners dealing with intersection and clipping
-
Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing Informatica (IF 3.3) Pub Date : 2023-01-10 Ramon Sanchez-Iborra, Abdeljalil Zoubir, Abderahmane Hamdouchi, Ali Idri, Antonio Skarmeta
The coordinated integration of heterogeneous TinyML-enabled elements in highly distributed Internet of Things (IoT) environments paves the way for the development of truly intelligent and context-aware applications. In this work, we propose a hierarchical ensemble TinyML scheme that permits system-wide decisions by considering the individual decisions made by the IoT elements deployed in a certain
-
-
Fully Continuous Leakage-Resilient Certificate-Based Signcryption Scheme for Mobile Communications Informatica (IF 3.3) Pub Date : 2022-12-19 Yuh-Min Tseng, Tung-Tso Tsai, Sen-Shan Huang
Due to the popularity of mobile communication, many computing devices are exposed to remote environments without physical protection so that these devices easily suffer from leakage attacks (e.g., side-channel attacks). Under such leakage attacks, when a computing device performs some cryptographic algorithm, an adversary may acquire partial bits of secret keys participated in this cryptographic algorithm
-
A Hybrid IF-FUCOM-GRA Approach and its Application to Determine Optimal Bacterial Concentrations on Mortar at Optimal Curing Day Informatica (IF 3.3) Pub Date : 2022-12-19 Srila Dey, Florentin Smarandache, Rama Debbarma, Priyanka Majumder
In this study, Intuitionistic Fuzzy Consistency Method (IF-FUCOM) and Grey Relation Analysis (GRA) were combined to assess the effects of Bacillus subtilis bacteria on concrete properties, as well as to determine the optimal bacteria concentration and curing day. Three different concentrations of bacteria were added to the mortar mixes, like 103, 105, and 107 cells/ml of water. Mortar samples were