Journal
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Volume 7, Issue 5, Pages 819-831Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-015-0400-3
Keywords
DHFS; Hesitant fuzzy set; GDM; Heronian mean; Supplier selection
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Funding
- China National Natural Science Foundation [71301142]
- Zhejiang Science & Technology Plan of China [2015C33024]
- Zhejiang Provincial Natural Science Foundation of China [LQ13G010004]
- China Postdoctoral Science Foundation [2014M550353]
- National Education Information Technology Research [146242069]
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The concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker's fuzziness about the non-membership degree of the information provided. This paper studies some dual hesitant fuzzy information aggregation operators for aggregating dual hesitant fuzzy elements, such as dual hesitant fuzzy Heronian mean operator and dual hesitant fuzzy geometric Heronian mean operator. The research resulting dual hesitant fuzzy information aggregation operators finds an important role in group decision making (GDM) applications. It can fusion the experts' opinion to the comprehensive ones and based on which an optimal decision making scheme can be determined. The properties of the proposed operators are studied and the application on GDM are investigated. The effectiveness of the GDM method is demonstrated on the case study about supplier selection.
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