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 ex -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 i...

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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/36096/
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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 ex -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 ex -level set of the fuzzy closeness coefficient is calculated at eleven ex 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-360962022-09-23T08:50:35Z https://ir.uitm.edu.my/id/eprint/36096/ Fuzzy TOPSIS based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob gading Ramli, Nazirah M. Yacob, Nor Azizah Fuzzy arithmetic Matrix analytic methods Analysis This paper applies the fuzzy TOPSIS based on ex -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 ex -level set of the fuzzy closeness coefficient is calculated at eleven ex 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 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36096/1/36096.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) Jurnal Gading UiTM Pahang <https://ir.uitm.edu.my/view/publication/Jurnal_Gading_UiTM_Pahang.html>, 11 (2). pp. 57-70. ISSN 0128-5599
spellingShingle Fuzzy arithmetic
Matrix analytic methods
Analysis
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 Fuzzy arithmetic
Matrix analytic methods
Analysis
url https://ir.uitm.edu.my/id/eprint/36096/