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

Michel De Mathelin; Christiaan Perneel

doi:10.1117/12.165034

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

Michel De Mathelin, Christiaan Perneel

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Carnegie Mellon University

Onderzoeksoutput: Bijdrage aan een tijdschrift › Congresartikel › peer review

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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.

Originele taal-2	Engels
Pagina's (van-tot)	270-281
Aantal pagina's	12
Tijdschrift	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2061
DOI's	https://doi.org/10.1117/12.165034
Status	Gepubliceerd - 22 dec. 1993
Evenement	Applications of Fuzzy Logic Technology 1993 - Boston, Verenigde Staten van Amerika Duur: 7 sep. 1993 → 10 sep. 1993

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10.1117/12.165034

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title = "Knowledge combination and decision algorithms for expert systems based on fuzzy logic",

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.",

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AB - 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.

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U2 - 10.1117/12.165034

DO - 10.1117/12.165034

M3 - Conference article

AN - SCOPUS:85075944077

SN - 0277-786X

VL - 2061

SP - 270

EP - 281

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Applications of Fuzzy Logic Technology 1993

Y2 - 7 September 1993 through 10 September 1993

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

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