Multi-Attribute Decision Making
Seyyed Ahmad Edalatpanah
Abstract
Purpose: Designing an appropriate model/approach for decision-making (incredibly strategic decisions) in a complex and uncertain environment has always been one of the researchers' goals. This study proposes a method that can consider the above dimensions and provide a suitable answer to the challenge ...
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Purpose: Designing an appropriate model/approach for decision-making (incredibly strategic decisions) in a complex and uncertain environment has always been one of the researchers' goals. This study proposes a method that can consider the above dimensions and provide a suitable answer to the challenge of choosing the best option in the Matrix Approach to Robustness Analysis.Methodology: In this research, the superior option is identified by converting the matrix elements of the robustness analysis into hesitant fuzzy elements and using the score function.Findings: Implementation of the proposed approach in four different problems that in previous studies faced with the challenge of choosing the best option showed that a more appropriate answer could be achieved using hesitant fuzzy elements.Originality/Value: Developing the matrix approach to robustness analysis to solve the problem of choosing a strategy regarding equal stability of options.
Multi-Attribute Decision Making
Abazar Keikha
Abstract
Purpose: The aim of this paper is to propose a new extension of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to be applied with Hesitant Fuzzy Numbers (HFNs).Methodology: At first, the uncertainty of all enteries of evaluation matrix have been modeled by HFNs. ...
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Purpose: The aim of this paper is to propose a new extension of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to be applied with Hesitant Fuzzy Numbers (HFNs).Methodology: At first, the uncertainty of all enteries of evaluation matrix have been modeled by HFNs. Then, each step of the standard model of TOPSIS method will be updated, using the newly introduced HFNs’ mathematical tools, such as distance measures and aggregation operators of HFNs. The proposed method will be used to solve a Multi-Attribute Decision Making (MADM) problem. Finally, the credibility and comparison analysis of the obtained ranking order will be discussed.Findings: In this paper, the TOPSIS method as a popular method for solving MADM problems has been developed to be applied with HFNs.Originality/Value: In this paper, the TOPSIS method as a popular method for solving MADM problems has been developed to be applied with HFNs.