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Multiple Attribute Decision Making Based on Hesitant Fuzzy Einstein Geometric Aggregation Operators
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We first define an accuracy function of hesitant fuzzy elements (HFEs) and develop a new method to compare two HFEs.
Then, based on Einstein operators, we give some new operational laws on HFEs and some desirable properties of these operations.
We also develop several new hesitant fuzzy aggregation operators, including the hesitant fuzzy Einstein weighted geometric (HFEWGε) operator and the hesitant fuzzy Einstein ordered weighted geometric (HFEWGε) operator, which are the extensions of the weighted geometric operator and the ordered weighted geometric (OWG) operator with hesitant fuzzy information, respectively.
Furthermore, we establish the connections between the proposed and the existing hesitant fuzzy aggregation operators and discuss various properties of the proposed operators.
Finally, we apply the HFEWGε operator to solve the hesitant fuzzy decision making problems.
American Psychological Association (APA)
Zhou, Xiaoqiang& Li, Qingguo. 2014. Multiple Attribute Decision Making Based on Hesitant Fuzzy Einstein Geometric Aggregation Operators. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-495336
Modern Language Association (MLA)
Zhou, Xiaoqiang& Li, Qingguo. Multiple Attribute Decision Making Based on Hesitant Fuzzy Einstein Geometric Aggregation Operators. Journal of Applied Mathematics No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-495336
American Medical Association (AMA)
Zhou, Xiaoqiang& Li, Qingguo. Multiple Attribute Decision Making Based on Hesitant Fuzzy Einstein Geometric Aggregation Operators. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-495336
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495336