Constructing fuzzy measures in expert systems

Fuzzy Sets and Systems

Volumn 92, Issue 2, 1997, Pages 251-264

  Klir, George J ^a   Wang, Zhenyuan ^a   Harmanec, David ^a  

^a NONE

Author keywords

Choquet integral; Dempster shafer theory; Expert systems; Fuzzy measures; Genetic algorithms; Modal logic; Neural networks; Possibility theory; Sugeno integral; Sugeno measures; Uncertainty; Uncertainty principles

Indexed keywords

EXPERT SYSTEMS; GENETIC ALGORITHMS; INTEGRAL EQUATIONS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; STATISTICAL METHODS;

CHOQUET INTEGRAL; DEMPSTER-SHAFER THEORY; FUZZY MEASURES; MODAL LOGIC; POSSIBILITY THEORY; STATISTICAL INFERENCE; SUGENO INTEGRAL; UNCERTAINTY PRINCIPLES;

FUZZY SETS;

EID: 0031364931     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00174-7     Document Type: Article

References (9)

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5. M. Grabisch, H.T. Nguyen, E.A. Walker, Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference, Kluwer, Boston, 1995.
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7. D. Harmanec, Toward a characterization of uncertainty measure for the Dempster-Shafer Theory, in: P. Besnard, S. Hanks (Eds.), Proc. 11th Conf. on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Mateo, CA, 1995, pp. 255-261.
8. D. Harmanec, G.J. Klir, Measuring total uncertainty in Dempster-Shafer theory: a novel approach, Internat. J. General Systems 22 (4) (1994) 405-419.
9. D. Harmanec, G.J. Klir, Principle of uncertainty invariance revisited, in: F.A.S. Ralston, T.L. Ward (Eds.), Proc. 1996 Internat. Fuzzy Systems and Intelligent Control Conf, Maui, Hawaii, 1996, Institution for Fuzzy Systems and Intelligent Control, Louisville, KY, pp. 331-339.