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

Mathematics

Carnegie Mellon University

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	270-281
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2061
DOIs	https://doi.org/10.1117/12.165034
Publication status	Published - 22 Dec 1993
Event	Applications of Fuzzy Logic Technology 1993 - Boston, United States Duration: 7 Sept 1993 → 10 Sept 1993

Access to Document

10.1117/12.165034

Cite this

@article{4bded4274f33437f9ec4bc4c0a88f922,

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",

month = dec,

day = "22",

doi = "10.1117/12.165034",

language = "English",

volume = "2061",

pages = "270--281",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

}

TY - JOUR

T1 - Knowledge combination and decision algorithms for expert systems based on fuzzy logic

AU - De Mathelin, Michel

AU - Perneel, Christiaan

PY - 1993/12/22

Y1 - 1993/12/22

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.

UR - http://www.scopus.com/inward/record.url?scp=85075944077&partnerID=8YFLogxK

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

Abstract

Access to Document

Other files and links

Fingerprint

Cite this