Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 26, Issue 3, Pages 1763-1768Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2017.2724023
Keywords
Entropy; extended hesitant fuzzy linguistic term set (HFLTS); fuzziness; hesitation
Funding
- National Natural Science Foundation of China [71371107]
- Spanish National Research Project [TIN2015-66524-P]
- Spanish Ministry of Economy and Finance [IJCI-2015-23715]
- Education Research and Development Foundation
Ask authors/readers for more resources
A hesitant fuzzy linguistic term set (HFLTS) is defined as a subset of ordered consecutive linguistic terms, and it has been successfully applied to deal with experts hesitation in decision-making problems when experts have to provide their assessments. This concept has been recently extended to manage ordered consecutive and nonconsecutive linguistic terms, called extended HFLTS (EHFLTS), which is used in linguistic group decision-making problems to represent the group opinion without loss of information. This paper is focused on studying how to measure the uncertainty presented by the information of an EHFLTS and also of an HFLTS. To do so, a new comprehensive entropy measure for EHFLTSs, which considers two types of uncertainty, fuzziness and hesitation, is proposed. The construction methods of the two types of entropy are studied and a comprehensive entropy formula is defined. Finally, a comparative study is carried out to analyze the results obtained from the proposed entropy measures.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available