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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/1068
Title: Intuition in Soft Decision Analysis
Contributor(s): Chakrabarty, K  (author)
Publication Date: 2003-04-30
DOI: 10.1007/3-540-39205-X_60
Handle Link: https://hdl.handle.net/1959.11/1068
Related DOI: 10.1007/3-540-39205-X
Abstract: 

The notions of fuzzy sets and intuitionistic fuzzy sets(IFS’s) play significant roles in case of some knowledge representation problems where mathematical complexity and practical inconvenience can be caused due to our inability to differentiate events exactly in real situations and thus to define instrumental notions in precise form. This paper discusses the notions of fuzzy sets, IFS’s and describes that how these tools can be used for the explanation of uncertainty as well as for modelling intuitionistic behavioural patterns occurring in case of decision analysis and systems designing problems. ...

Publication Type: Conference Publication
Conference Details: RSFDGrC 2003: 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Chongqing, China, 26th - 29th May, 2003
Source of Publication: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, p. 374-377
Publisher: Spinger
Place of Publication: Berlin, Germany
Fields of Research (FoR) 2008: 080603 Conceptual Modelling
Fields of Research (FoR) 2020: 461399 Theory of computation not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Series Name: Lecture Notes in Computer Science
Series Number : 2639
Appears in Collections:Conference Publication
School of Science and Technology

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