Journal
IEEE ACCESS
Volume 6, Issue -, Pages 11508-11522Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2017.2784963
Keywords
Multiple attribute decision making (MADM); Bipolar fuzzy set; Dual hesitant bipolar fuzzy set; Dual hesitant bipolar fuzzy Hamacher prioritized weighted average (DHBFHPWA) operator; dual hesitant bipolar fuzzy Hamacher prioritized weighted geometric (DHBFHPWG) operator
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Funding
- National Natural Science Foundation of China [61174149, 71571128]
- Humanities and Social Sciences Foundation of the Ministry of Education of the People's Republic of China [17XJA630003]
- construction plan of scientific research innovation team for colleges and universities in Sichuan Province [15TD0004]
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In this paper, we investigate the dual hesitant bipolar fuzzy multiple attribute decision making problems in which there exists a prioritization relationship over attributes. Then, motivated by the idea of Hamacher operations and prioritized aggregation operators, we have developed some Hamacher prioritized aggregation operators for aggregating dual hesitant bipolar fuzzy information: dual hesitant bipolar fuzzy Hamacher prioritized average operator, dual hesitant bipolar fuzzy Hamacher prioritized geometric operator, dual hesitant bipolar fuzzy Hamacher prioritized weighted average operator, dual hesitant bipolar fuzzy Hamacher prioritized weighted geometric operator. Then, we have utilized these operators to develop some approaches to solve the dual hesitant bipolar fuzzy multiple attribute decision making problems. Finally, a real-world example is then analyzed to illustrate the relevance and effectiveness of the proposed methodology.
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