Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob

This paper applies the fuzzy TOPSIS based on α -level in solving a multi-criteria decision-making problem. The basic principle of fuzzy TOPSIS is that the chosen alternatives should have the shortest distance from the fuzzy positive ideal solution and the farthest distance from the fuzzy negative id...

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Main Authors: Ramli, Nazirah, M. Yacob, Nor Azizah
Format: Article
Language:English
Published: Universiti Teknologi MARA Cawangan Pahang 2007
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/29931/
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author Ramli, Nazirah
M. Yacob, Nor Azizah
author_facet Ramli, Nazirah
M. Yacob, Nor Azizah
author_sort Ramli, Nazirah
building UiTM Institutional Repository
collection Online Access
description This paper applies the fuzzy TOPSIS based on α -level in solving a multi-criteria decision-making problem. The basic principle of fuzzy TOPSIS is that the chosen alternatives should have the shortest distance from the fuzzy positive ideal solution and the farthest distance from the fuzzy negative ideal solution in which can be determined by calculating the closeness coefficient. In this paper, the α-level set of the fuzzy closeness coefficient is calculated at eleven α levels. The closeness coefficient can be presented as a fuzzy number which generates a more accurate fuzzy estimation of the relative closeness. An empirical study of academic staff selection is conducted to illustrate its application.
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spelling uitm-299312020-05-12T04:07:51Z https://ir.uitm.edu.my/id/eprint/29931/ Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob gadingss Ramli, Nazirah M. Yacob, Nor Azizah Management. Industrial Management Decision making Malaysia This paper applies the fuzzy TOPSIS based on α -level in solving a multi-criteria decision-making problem. The basic principle of fuzzy TOPSIS is that the chosen alternatives should have the shortest distance from the fuzzy positive ideal solution and the farthest distance from the fuzzy negative ideal solution in which can be determined by calculating the closeness coefficient. In this paper, the α-level set of the fuzzy closeness coefficient is calculated at eleven α levels. The closeness coefficient can be presented as a fuzzy number which generates a more accurate fuzzy estimation of the relative closeness. An empirical study of academic staff selection is conducted to illustrate its application. Universiti Teknologi MARA Cawangan Pahang 2007-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/29931/1/29931.pdf Ramli, Nazirah and M. Yacob, Nor Azizah (2007) Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob. (2007) Gading Journal for the Social Sciences <https://ir.uitm.edu.my/view/publication/Gading_Journal_for_the_Social_Sciences.html>, 111 (2). ISSN 2600-7568 https://gadingssuitm.com/
spellingShingle Management. Industrial Management
Decision making
Malaysia
Ramli, Nazirah
M. Yacob, Nor Azizah
Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title_full Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title_fullStr Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title_full_unstemmed Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title_short Fuzzy topsis based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob
title_sort fuzzy topsis based on α level set for academic staff selection / nazirah ramli and nor azizah m. yacob
topic Management. Industrial Management
Decision making
Malaysia
url https://ir.uitm.edu.my/id/eprint/29931/
https://ir.uitm.edu.my/id/eprint/29931/