A new divergence measure based on fuzzy TOPSIS for solving staff performance appraisal
Various divergence measure methods have been used in many applications of fuzzy set theory for calculating the discrimination between two objects. This paper aims to develop a novel divergence measure incorporated with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) me...
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主要な著者: | Saidin, M. S., Lee, L. S., Bakar, M. R. A., Ahmad, M. Z. |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Universiti Putra Malaysia Press
2022
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/100242/1/A%20new%20divergence%20measure%20based%20on%20fuzzy%20TOPSIS.pdf http://psasir.upm.edu.my/id/eprint/100242/ https://mjms.upm.edu.my/lihatmakalah.php?kod=2022/September/16/3/637-658 |
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