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. ...
Read More
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.