A Study on the Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-attribute Decision Making—A Case Study on University Selection for Admission

Mansi Bhatia (), H. D. Arora (), Riju Chaudhary () and Vijay Kumar ()
Additional contact information
Mansi Bhatia: Amity Institute of Applied Sciences, Amity University Uttar Pradesh
H. D. Arora: Amity Institute of Applied Sciences, Amity University Uttar Pradesh
Riju Chaudhary: Amity Institute of Applied Sciences, Amity University Uttar Pradesh
Vijay Kumar: Manav Rachna International Institute of Research and Studies

A chapter in Reliability Engineering for Industrial Processes, 2024, pp 275-291 from Springer

Abstract: Abstract In our daily lives, individuals face countless choices across different aspects. Many a times these decisions are made based on a number of factors, some of which are obvious, whereas some of them are vague and not precise. These can result in facing certain challenges while making decisions. To handle such situations Multi-Criteria Decision Making (MCDM) techniques have been developed. The aim of this article is to suggest a method to rank and hence choose a university for students’ admission using the method Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). To achieve the goal a novel distance measure has been proposed, and some axiomatic properties have also been proved for the same. The proposed approach aids in the process of university selection by ranking the universities based on certain criteria in fuzzy environment. The results obtained suggest that the proposed model provides a accurate way to select the best university among the large number of choices available for the considered universities. The paper settles with a discussion of a case study and experimental findings.

Keywords: Euclidean measure; FTOPSIS; Multi-criteria decision making; Triangular fuzzy sets; University selection (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-55048-5_18

Ordering information: This item can be ordered from
http://www.springer.com/9783031550485

DOI: 10.1007/978-3-031-55048-5_18

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().