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An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection

Link to publisher's homepage at https://amci.unimap.edu.my/

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Bibliographic Details
Main Authors: Mohd Halimi, Ab Hamid, Anas Fathul Ariffin
Other Authors: halimi@uitm.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
Confidence analysis
fuzzy TOPSIS
Graph theory
MCDM
Personnel selection
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77722
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spelling my.unimap-777222023-01-25T04:09:26Z An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection Mohd Halimi, Ab Hamid Anas Fathul Ariffin halimi@uitm.edu.my Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia Confidence analysis fuzzy TOPSIS Graph theory MCDM Personnel selection Link to publisher's homepage at https://amci.unimap.edu.my/ This paper proposes a methodology based on combined approach of graph theory with Fuzzy TOPSIS and equipped with confidence analysis in solving a multi-criteria decision-making problem (MCDM). The theoretical background of some graph theories is reviewed and the basic principle of fuzzy TOPSIS is presented. Graph-theoretic method is used to clearly depict a logical and systematic framework in accessing the available criteria with the relative importance. The main concept of Fuzzy TOPSIS is that the chosen alternative should be the closest to the fuzzy positive ideal solution and the furthest away from the fuzzy negative ideal solution, which may be found by computing the closeness coefficient. In this paper, the fuzzy closeness coefficient with -level set is determined. The coefficient can be represented as a fuzzy number, resulting in a more accurate fuzzy assessment of relative closeness. To show the applicability of the approach, a numerical analysis is presented to study the personnel selection based on the proposed method. It was found that the approach is able to generate a more comprehensive, systematic, and reliable result. 2023-01-25T04:09:26Z 2023-01-25T04:09:26Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 412-422 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77722 en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Confidence analysis
fuzzy TOPSIS
Graph theory
MCDM
Personnel selection
spellingShingle Confidence analysis
fuzzy TOPSIS
Graph theory
MCDM
Personnel selection
Mohd Halimi, Ab Hamid
Anas Fathul Ariffin
An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 halimi@uitm.edu.my
author_facet halimi@uitm.edu.my
Mohd Halimi, Ab Hamid
Anas Fathul Ariffin
format Article
author Mohd Halimi, Ab Hamid
Anas Fathul Ariffin
author_sort Mohd Halimi, Ab Hamid
title An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
title_short An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
title_full An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
title_fullStr An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
title_full_unstemmed An integrated approach of fuzzy TOPSIS and Graph Theory with confidence analysis on personnel selection
title_sort integrated approach of fuzzy topsis and graph theory with confidence analysis on personnel selection
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77722
_version_ 1772813101116162048
score 13.214268

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