Title :
Inverse approximate reasoning: maximize entropy
Author :
Eslami, E. ; Buckley, J.J.
Author_Institution :
Dept. of Math. & Comput. Sci., Kerman Univ., Iran
Abstract :
We consider the problem of given the conclusion of a fuzzy rule, find in some sense the “best” data (input) that will produce the given conclusion. In this paper we investigate the use of the principle of maximum entropy to solve this problem
Keywords :
inference mechanisms; maximum entropy methods; uncertainty handling; entropy maximisation; fuzzy rule; inverse approximate reasoning; maximum entropy; Computer applications; Decision making; Entropy; Equations; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Lenses; Physics; Tin;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527781
