A novel similarity measure in intuitionistic fuzzy sets and its applications. (January 2022)
- Record Type:
- Journal Article
- Title:
- A novel similarity measure in intuitionistic fuzzy sets and its applications. (January 2022)
- Main Title:
- A novel similarity measure in intuitionistic fuzzy sets and its applications
- Authors:
- Pan, Lipeng
Deng, Yong - Abstract:
- Abstract: Intuitionistic fuzzy set (IFS) is a classical branch of fuzzy set, which has advantage to deal with uncertain problems. In IFS, similarity measure is an important fundamental concept, it is used to measure consistency between different intuitionistic fuzzy sets (IFSs) and becomes a key parameter in fuzzy decision system. However, the previous methods of similarity measure do not take enough account the effect of hesitancy degree on membership degree and non-membership degree, so that produce counterintuitive results when measuring similarity. Hence, in this paper, a new similarity measure of IFS is presented. The effect of hesitancy degree on similarity measure is fully considered in the proposed method and some properties also haven been discussed to prove the reasonable of proposed method. Meanwhile, some numerical examples are analyzed to illustrate characteristics of proposed similarity measure in detail. Further, the experiments of target classification and clustering problem demonstrate effectiveness and superiority of proposed similarity measure in the environment of expert assessments and data set.
- Is Part Of:
- Engineering applications of artificial intelligence. Volume 107(2022)
- Journal:
- Engineering applications of artificial intelligence
- Issue:
- Volume 107(2022)
- Issue Display:
- Volume 107, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 107
- Issue:
- 2022
- Issue Sort Value:
- 2022-0107-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Intuitionistic fuzzy set -- Similarity measure -- Hesitancy degree -- Classification -- Clustering
Engineering -- Data processing -- Periodicals
Artificial intelligence -- Periodicals
Expert systems (Computer science) -- Periodicals
Ingénierie -- Informatique -- Périodiques
Intelligence artificielle -- Périodiques
Systèmes experts (Informatique) -- Périodiques
Artificial intelligence
Engineering -- Data processing
Expert systems (Computer science)
Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09521976 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.engappai.2021.104512 ↗
- Languages:
- English
- ISSNs:
- 0952-1976
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3755.704500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20152.xml