Using fuzzy relation equations in the construction of inference mechanisms in expert systems

A. Di Nola; B. W. Pedrycz; S. Sessa

doi:10.1080/01969728708902127

Using fuzzy relation equations in the construction of inference mechanisms in expert systems

A. Di Nola
, B. W. Pedrycz
, S. Sessa

Department of Measurements and Control Systems (RAU/RAU2)

University of Naples Federico II

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.

Original language	English
Pages (from-to)	49-56
Number of pages	8
Journal	Cybernetics and Systems
Volume	18
Issue number	1
DOIs	https://doi.org/10.1080/01969728708902127
Publication status	Published - 1987

ASJC Scopus subject areas

Software
Information Systems
Artificial Intelligence

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10.1080/01969728708902127

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title = "Using fuzzy relation equations in the construction of inference mechanisms in expert systems",

abstract = "Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.",

author = "\{Di Nola\}, A. and Pedrycz, \{B. W.\} and S. Sessa",

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T1 - Using fuzzy relation equations in the construction of inference mechanisms in expert systems

AU - Di Nola, A.

AU - Pedrycz, B. W.

AU - Sessa, S.

PY - 1987

Y1 - 1987

N2 - Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.

AB - Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.

UR - https://www.scopus.com/pages/publications/0023166874

U2 - 10.1080/01969728708902127

DO - 10.1080/01969728708902127

M3 - Article

AN - SCOPUS:0023166874

SN - 0196-9722

VL - 18

SP - 49

EP - 56

JO - Cybernetics and Systems

JF - Cybernetics and Systems

IS - 1

ER -

Using fuzzy relation equations in the construction of inference mechanisms in expert systems

Abstract

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