An identification algorithm in fuzzy relational systems

Witold Pedrycz

doi:10.1016/0165-0114(84)90015-0

An identification algorithm in fuzzy relational systems

Witold Pedrycz

Katedra Pomiarów i Systemów Sterowania (RAU/RAU2)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

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Abstrakt

The paper presents an effective identification method in fuzzy relational systems. We propose an algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques. The usefulness of the method provided is demonstrated by means of two numerical examples. Also a possible way of generating a linguistic decision-making algorithm is discussed.

Język oryginału	angielski
Strony (od–do)	153-167
Liczba stron	15
Czasopismo	Fuzzy Sets and Systems
Tom	13
Numer wydania	2
Identyfikatory DOI	https://doi.org/10.1016/0165-0114(84)90015-0
Status publikacji	Opublikowano - lip 1984

Obszary tematyczne ASJC Scopus

Logika
Sztuczna inteligencja

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10.1016/0165-0114(84)90015-0

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title = "An identification algorithm in fuzzy relational systems",

abstract = "The paper presents an effective identification method in fuzzy relational systems. We propose an algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques. The usefulness of the method provided is demonstrated by means of two numerical examples. Also a possible way of generating a linguistic decision-making algorithm is discussed.",

keywords = "Clustering techniques, Fuzzy discretization, Fuzzy relational system, Identification algorithm",

author = "Witold Pedrycz",

year = "1984",

month = jul,

doi = "10.1016/0165-0114(84)90015-0",

language = "English",

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T1 - An identification algorithm in fuzzy relational systems

AU - Pedrycz, Witold

PY - 1984/7

Y1 - 1984/7

N2 - The paper presents an effective identification method in fuzzy relational systems. We propose an algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques. The usefulness of the method provided is demonstrated by means of two numerical examples. Also a possible way of generating a linguistic decision-making algorithm is discussed.

AB - The paper presents an effective identification method in fuzzy relational systems. We propose an algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques. The usefulness of the method provided is demonstrated by means of two numerical examples. Also a possible way of generating a linguistic decision-making algorithm is discussed.

KW - Clustering techniques

KW - Fuzzy discretization

KW - Fuzzy relational system

KW - Identification algorithm

UR - https://www.scopus.com/pages/publications/0021455631

U2 - 10.1016/0165-0114(84)90015-0

DO - 10.1016/0165-0114(84)90015-0

M3 - Article

AN - SCOPUS:0021455631

SN - 0165-0114

VL - 13

SP - 153

EP - 167

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

IS - 2

ER -

An identification algorithm in fuzzy relational systems

Abstrakt

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