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

Mathématiques

Carnegie Mellon University

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

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.

langue originale	Anglais
Pages (de - à)	270-281
Nombre de pages	12
journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2061
Les DOIs	https://doi.org/10.1117/12.165034
état	Publié - 22 déc. 1993
Evénement	Applications of Fuzzy Logic Technology 1993 - Boston, États-Unis Durée: 7 sept. 1993 → 10 sept. 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.",

author = "{De Mathelin}, Michel and Christiaan Perneel",

year = "1993",

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AU - De Mathelin, Michel

AU - Perneel, Christiaan

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N2 - 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.

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

ER -

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

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