 A Distance-based Method for Computing Priorities of Intuitionistic Fuzzy Preference Relation and Its Application in AHPAkshay Hinduja and Manju Pandey Vision, 2019, vol. 23, issue 4, 329-340 Abstract: The notion of multi-criteria decision-making is regarded as the process of finding the best possible alternative or course of action by decision-makers. Often, it entails handling vague, incomplete and inconsistent information. The intuitionistic fuzzy set (IFS) has been proven more effective than a fuzzy set in handling vagueness and uncertainty. The aim of the article is to incorporate the effectiveness of the IFS with the powerfulness of the analytic hierarchy process (AHP) and develop intuitionistic fuzzy AHP (IF-AHP) to cope with the decision problems involving imprecise and hesitant information. In this article, we develop a distance-based novel priority method, which derives unambiguous non-fuzzy priorities of the alternatives from intuitionistic fuzzy preference relations (IFPRs). The proposed priority method is simple in computation yet effective in results. To validate the method, we applied it to the adapted supplier selection problem. This article also presents a comparison of the proposed method with classic and fuzzy AHP using Monte-Carlo simulation approach. Keywords: Multi-criteria Decision-making; Intuitionistic Fuzzy Sets; Analytic Hierarchy Process; Intuitionistic Fuzzy AHP; Intuitionistic Fuzzy Preference Relations (IFPRs); Distance-based Priority Method (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:vision:v:23:y:2019:i:4:p:329-340 Access Statistics for this article More articles in Vision |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.