Knowledge combination and decision algorithms for expert systems based on fuzzy logic

Michel de Mathelin; Christiaan Perneel

doi:10.1117/12.165034

22 December 1993 Knowledge combination and decision algorithms for expert systems based on fuzzy logic

Michel de Mathelin, Christiaan Perneel

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165034
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

In this paper, fuzzy logic is used to derive knowledge combination rules for heuristic search algorithms. These algorithms are especially designed for expert systems addressing complex problems whose solution space is too large to be fully explored. Search algorithms using heuristic knowledge can reduce the exploration of the solution space while preserving the quality of the proposed solutions.

Citation Download Citation

Michel de Mathelin and Christiaan Perneel "Knowledge combination and decision algorithms for expert systems based on fuzzy logic", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165034

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