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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Universiti Teknologi MARA Cawangan Pahang
2007
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my.uitm.ir.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 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 Fuzzy TOPSIS based on α level set for academic staff selection / Nazirah Ramli and Nor Azizah M. Yacob. (2007) Jurnal Gading UiTM Pahang, 11 (2). pp. 57-70. ISSN 0128-5599 |
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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 |
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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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Article |
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Ramli, Nazirah M. Yacob, Nor Azizah |
author_facet |
Ramli, Nazirah M. Yacob, Nor Azizah |
author_sort |
Ramli, Nazirah |
title |
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_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_sort |
fuzzy topsis based on α level set for academic staff selection / nazirah ramli and nor azizah m. yacob |
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Universiti Teknologi MARA Cawangan Pahang |
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2007 |
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https://ir.uitm.edu.my/id/eprint/36096/1/36096.PDF https://ir.uitm.edu.my/id/eprint/36096/ |
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