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Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A hesitant fuzzy linguistic term set (HFLTS), allowing experts using several possible linguistic terms to assess a qualitative linguistic variable, is very useful to express people’s hesitancy in practical decision-making problems.
Up to now, a little research has been done on the comparison and distance measure of HFLTSs.
In this paper, we present a comparison method for HFLTSs based on pairwise comparisons of each linguistic term in the two HFLTSs.
Then, a distance measure method based on the pairwise comparison matrix of HFLTSs is proposed, and we prove that this distance is equal to the distance of the average values of HFLTSs, which makes the distance measure much more simple.
Finally, the pairwise comparison and distance measure methods are utilized to develop two multicriteria decision-making approaches under hesitant fuzzy linguistic environments.
The results analysis shows that our methods in this paper are more reasonable.
American Psychological Association (APA)
Huang, Han-Chen& Yang, Xiaojun. 2014. Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-511115
Modern Language Association (MLA)
Huang, Han-Chen& Yang, Xiaojun. Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-511115
American Medical Association (AMA)
Huang, Han-Chen& Yang, Xiaojun. Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-511115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511115