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Article type: Research Article
Authors: Zhu, Wei-Qun | Liang, Pan* | Wang, Li-Jun | Hou, Yan-Ru
Affiliations: Department of Clinical Medicine, Xiang Nan University, Chenzhou, Hunan, China
Correspondence: [*] Corresponding author. Pan Liang, Department of Clinical Medicine, Xiang Nan University, Chenzhou, Hunan 423000, China. Tel.: +86 013016101680; Fax: +86 013016101680; Email: [email protected].
Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problems with triangular fuzzy information. Motivated by the ideal of Bonferroni mean, we develop the aggregation techniques called the triangular fuzzy Bonferroni mean (TFBM) operator for aggregating the triangular fuzzy information. We study its properties and discuss its special cases. For the situations where the input arguments have different importance, we then define the triangular fuzzy weighted Bonferroni mean (TFWBM) operator, based on which we develop the procedure for multiple attribute decision making under the triangular fuzzy environments. Finally, a practical example for evaluating the modernization development of Chinese traditional medicine industry is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords: Multiple attribute decision making (MADM), triangular fuzzy numbers, Bonferroni mean, triangular fuzzy Bonferroni mean (TFBM) operator, triangular fuzzy weighted Bonferroni mean (TFWBM) operator, Chinese traditional medicine industry, modernization development
DOI: 10.3233/IFS-131092
Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1265-1272, 2015
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