Novel EDAS++ method: Interval type criteria and extension to EDAS [PDF]
Turističko Poslovanje, 2020 Multicriteria problems belong to poorly structured decision-making problems as they take place in conditions of stochasticity (indeterminacy). This primarily refers to the number of criteria and the complexity of their mutual relations between which ...
Štilić Anđelka
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An enhancement EDAS method based on Prospect Theory
Technological and Economic Development of Economy, 2021 Decision-making is the process of carefully considering multiple options and choosing the best one. The EDAS (evaluation based on distance from average solution) method has been studied in many multi-attributes decision-making (MADM) problem which ...
Yuhan Huang, Rui Lin, Xudong Chen
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Selection of Cotton Fabrics Using EDAS Method
Journal of Natural Fibers, 2022 In this paper, a relatively new and mathematically potent tool of MCDM (Multi-Criteria Decision Making) in the form of EDAS (Evaluation based on Distance from Average Solution) approach has been proposed for ranking of thirteen candidate cotton fabrics ...
Ashis Mitra
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A Single-Valued Neutrosophic Extension of the EDAS Method [PDF]
Axioms, 2021 This manuscript aims to propose a new extension of the EDAS method, adapted for usage with single-valued neutrosophic numbers. By using single-valued neutrosophic numbers, the EDAS method can be more efficient for solving complex problems whose solution ...
Dragiša Stanujkić +6 more
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Evaluating Clustering Algorithms: An Analysis using the EDAS Method [PDF]
E3S Web of Conferences, 2023 Data clustering is frequently utilized in the early stages of analyzing big data. It enables the examination of massive datasets encompassing diverse types of data, with the aim of revealing undiscovered correlations, concealed patterns, and other ...
Siva Shankar S. +3 more
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Technology Selection Based on EDAS Cross-Efficiency Evaluation Method [PDF]
IEEE Access, 2019 Technology selection is an important part of enterprises sustainable development. The best technologies could create significant competitive advantages for an enterprise to realize its profit growth and capability improvement, and then realize its ...
Jian-Ping Fan, Ya-Juan Li, Mei-Qin Wu
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Fuzzy logic and deep learning approach for automated white blood cell detection and classification via multi-CNN feature fusion [PDF]
Scientific ReportsWhite blood cells (WBCs) are vital components of the human immune system, responsible for defending the body against pathogens and infections. The classification and detection of white blood cells (WBC) are indispensable for the diagnosis of hematologic ...
Taseer Ullah +6 more
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A novel approach employing hesitant intuitionistic fuzzy linguistic Einstein aggregation operators within the EDAS approach for multicriteria group decision making [PDF]
HeliyonThe Evaluation based on Distance from Average Solution (EDAS) is a multi-criteria decision analysis (MCDA) technique that uses various distances from average values to make decisions.
Shahzad Faizi +3 more
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Evaluation of risk strategies for supply chain sustainability with interval-valued neutrosophic fuzzy EDAS [PDF]
HeliyonSustainability means the most effective and efficient use of existing resources to meet the needs of future and current generations. Nowadays, with the increase in global environmental problems as well as social and economic problems, sustainability in ...
Ecenur Alioğulları +3 more
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Application of the EDAS method in the evaluation of bank efficiency in Serbia [PDF]
Bankarstvo, 2021 Recently, as it is known, the evaluation of the performance (efficiency) of banks is increasingly performed on the basis of multi-criteria analysis. With this in mind, this paper analyzes the efficiency of banks in Serbia based on the EDAS method.
Lukić Radojko
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