Abstract
Study of fuzzy entropy on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Built in uncertainty in IFSs, it is named as hesitance. It is contained in fuzzy membership function in itself by definition. Hence, designing fuzzy entropy is not easy because there is no general entropy definition about IFSs. By considering existing fuzzy entropy definitions, fuzzy entropy on IFSs is designed and proved its usefulness. Similarity measure was also extended with the information of entropy, and the similarity measure is verified its usefulness by the proof.
Original language | English |
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Title of host publication | IMECS 2016 - International Multiconference of Engineers and Computer Scientists 2016 |
Editors | David Dagan Feng, Alexander M. Korsunsky, S. I. Ao, Craig Douglas, Oscar Castillo |
Publisher | Newswood Limited |
Pages | 674-678 |
Number of pages | 5 |
ISBN (Electronic) | 9789881404763 |
Publication status | Published - 2016 |
Event | International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016 - Tsimshatsui, Kowloon, Hong Kong Duration: 16 Mar 2016 → 18 Mar 2016 |
Publication series
Name | Lecture Notes in Engineering and Computer Science |
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Volume | 2 |
ISSN (Print) | 2078-0958 |
Conference
Conference | International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016 |
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Country/Territory | Hong Kong |
City | Tsimshatsui, Kowloon |
Period | 16/03/16 → 18/03/16 |
Cite this
Lee, S., Man, K. L., Lim, E. G., & Leach, M. (2016). Data analysis with fuzzy measure on intuitionistic fuzzy sets. In D. D. Feng, A. M. Korsunsky, S. I. Ao, C. Douglas, & O. Castillo (Eds.), IMECS 2016 - International Multiconference of Engineers and Computer Scientists 2016 (pp. 674-678). (Lecture Notes in Engineering and Computer Science; Vol. 2). Newswood Limited.