Intuition in soft decision analysis

Authors:
Kankana Chakrabarty
Affiliations:
School of Mathematics, Statistics and Computer Science, The University of New England, NSW, Australia
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

Citing 3
Cited 1

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Rough Sets: Theoretical Aspects of Reasoning about Data
Connectionism, Concepts, and Folk Psychology: The Legacy of Alan Turing

Connectionism, Concepts, and Folk Psychology: The Legacy of Alan Turing
Intuitionistic fuzzy sets

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Yager's Method and IF Default Rules

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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. ...