Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic

Fuzzy Sets and Systems

Volumn 90, Issue 2, 1997, Pages 111-127

  Zadeh, Lotfi A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Approximate reasoning; Fuzzy information granulation; Fuzzy logic

Indexed keywords

EID: 1642469977     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00077-8     Document Type: Article

References (6)

1. D. Driankov, H. Hellendoorn, M. Reinfrank, An Introduction to Fuzzy Control, Springer, Berlin, 1993.
2. D. Dubois, H. Fargier, H. Prade, Possibility theory in constraint satisfaction problems: Handling priority, preference and uncertainty, Applied Intelligence 6 (1996) 287-309.
3. D. Dubois, J. Lang, H. Prade, Possibilistic Logic, in: Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 3, D.M. Gabbay, C.J. Hogger, J.A. Robinson, D. Nute (Eds.), Oxford Univ. Press, Oxford, 1994, 439-513.
4. D. Dubois, H. Prade, Fuzzy sets in approximate reasoning, Part I: Interference with possibility distributions; Part II: Logical approaches (with J. Lang), Fuzzy Sets and Systems Vol. 40, Part I: pp. 143-202; Part II: pp. 203-244 (1991).
5. D. Dubois, H. Prade, Fuzzy sets in approximate reasoning, Part I: Interference with possibility distributions; Part II: Logical approaches (with J. Lang), Fuzzy Sets and Systems Vol. 40, Part I: pp. 143-202; Part II: pp. 203-244 (1991).
6. D. Dubois, H. Prade, Putting rough sets and fuzzy sets together, in: Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory, R. Slowinski, Ed., Kluwer, Dordrecht, 1992, 203-232.