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
Handle Link: https://hdl.handle.net/1959.11/1068
Abstract: The notions of fuzzy setsand 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 Name: 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC), Chongqing, P.R. China, May 26-29, 2003
Conference Details: 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC), Chongqing, P.R. China, May 26-29, 2003
Source of Publication: RSFDGrC 2003: Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, p. 374-377
Publisher: Spinger-Verlag
Place of Publication: Berlin Heidelberg
Field of Research (FOR): 080603 Conceptual Modelling
HERDC Category Description: E4 Editorship of Scholarly Conference Proceedings
Other Links: http://books.google.com.au/books?id=f3Hcd3W8ZXMC&pg=PP1&dq=3540140409&sig=#PRA1-PA374,M1
http://www.springerlink.com/content/jah0gtnycprb52r4/
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Appears in Collections:Conference Publication
School of Science and Technology

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