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Article type: Research Article
Authors: Lin, Rui | Zhao, Xiaofei | Wei, Guiwu
Affiliations: Institute of Decision Sciences, Chongqing University of Arts and Sciences, Yongchuan, China
Note: [] Corresponding author. Guiwu Wei, Institute of Decision Sciences, Chongqing University of Arts and Sciences, Yongchuan, 402160, China. Tel./Fax: +86 2349891870; E-mails: weiguiwu@163.com (Guiwu Wei); zhao_xiaofei1980@163.com (Xiaofei Zhao).
Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic aggregation operators with hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional arithmetic operation, we have developed some aggregation operators for aggregating hesitant fuzzy linguistic information: hesitant fuzzy linguistic weighted average (HFLWA) operator, hesitant fuzzy linguistic ordered weighted average (HFLOWA) operator and hesitant fuzzy linguistic hybrid average (HFLHA) operator. The prominent characteristic of these proposed operators are studied. Furthermore, we extend the hesitant fuzzy linguistic set to hesitant fuzzy uncertain linguistic set. Then, we have utilized these operators to develop some approaches to solve the hesitant fuzzy linguistic multiple attribute decision making problems for ERP systems selection. Finally, a practical example for ERP systems selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords: Multiple attribute decision making (MADM), hesitant fuzzy linguistic sets, hesitant fuzzy uncertain linguistic sets, ERP systems
DOI: 10.3233/IFS-130890
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 5, pp. 2155-2165, 2014
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