Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection
Joint Authors
Chen, Riqing
Meng, Fanyong
Lin, Jian
Zhang, Qiang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-22
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Many applications of intuitionistic fuzzy sets depend on ranking or comparing intuitionistic fuzzy numbers.
This paper presents a novel ranking method for intuitionistic fuzzy numbers based on the preference attitudinal accuracy and score functions.
The proposed ranking method considers not only the preference attitude of decision maker, but also all the possible values in feasible domain.
Some desirable properties of preference attitudinal accuracy and score functions are verified in detail.
A total order on the set of intuitionistic fuzzy numbers is established by using the proposed two functions.
The proposed ranking method is also applied to select renewable energy.
The advantage and validity of the proposed method are shown by comparing with some representative ranking methods.
American Psychological Association (APA)
Lin, Jian& Meng, Fanyong& Chen, Riqing& Zhang, Qiang. 2018. Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1135023
Modern Language Association (MLA)
Lin, Jian…[et al.]. Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1135023
American Medical Association (AMA)
Lin, Jian& Meng, Fanyong& Chen, Riqing& Zhang, Qiang. Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1135023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135023