A study on approximate reasoning mechanisms via fuzzy relation equations

Antonio di Nola; Salvatore Sessa; Witold Pedrycz

doi:10.1016/0888-613X(92)90038-2

A study on approximate reasoning mechanisms via fuzzy relation equations

Antonio di Nola
, Salvatore Sessa
, Witold Pedrycz

Department of Measurements and Control Systems (RAU/RAU2)

University of Naples Federico II

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

5 Citations (Scopus)

Abstract

Some aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based expert systems are studied in the framework of fuzzy relation equations used for the implementation of inference procedures.

Original language	English
Pages (from-to)	33-44
Number of pages	12
Journal	International Journal of Approximate Reasoning
Volume	6
Issue number	1
DOIs	https://doi.org/10.1016/0888-613X(92)90038-2
Publication status	Published - Jan 1992

Keywords

expert systems
fuzzy relation equation
production rules

ASJC Scopus subject areas

Theoretical Computer Science
Software
Applied Mathematics
Artificial Intelligence

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10.1016/0888-613X(92)90038-2

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title = "A study on approximate reasoning mechanisms via fuzzy relation equations",

abstract = "Some aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based expert systems are studied in the framework of fuzzy relation equations used for the implementation of inference procedures.",

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year = "1992",

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AU - Sessa, Salvatore

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KW - fuzzy relation equation

KW - production rules

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U2 - 10.1016/0888-613X(92)90038-2

DO - 10.1016/0888-613X(92)90038-2

M3 - Article

AN - SCOPUS:38249015394

SN - 0888-613X

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JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

IS - 1

ER -

A study on approximate reasoning mechanisms via fuzzy relation equations

Abstract

Keywords

ASJC Scopus subject areas

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