Study on Hesitant Fuzzy Information Measures and Their Clustering Application
Joint Authors
Lv, Jin-hui
Guo, Si-cong
Guo, Fang-fang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
At present, research on hesitant fuzzy operations and measures is based on equal length processing, and an equal length processing method will inevitably destroy the original data structure and change the data information.
This is an urgent problem to be solved in the development of hesitant fuzzy sets.
Aiming at solving this problem, this paper firstly defines a hesitant fuzzy entropy function as the measure of the degree of uncertainty of hesitant fuzzy information and then proposes the concept of hesitant fuzzy information feature vector.
The hesitant fuzzy distance measure and similarity measure are studied based on the information feature vector.
Finally, the hesitant fuzzy network clustering method based on similarity measure is given, and the effectiveness of our algorithm through a numerical example is illustrated.
American Psychological Association (APA)
Lv, Jin-hui& Guo, Si-cong& Guo, Fang-fang. 2019. Study on Hesitant Fuzzy Information Measures and Their Clustering Application. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1129492
Modern Language Association (MLA)
Lv, Jin-hui…[et al.]. Study on Hesitant Fuzzy Information Measures and Their Clustering Application. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1129492
American Medical Association (AMA)
Lv, Jin-hui& Guo, Si-cong& Guo, Fang-fang. Study on Hesitant Fuzzy Information Measures and Their Clustering Application. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1129492
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129492