Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Kaoru Hirota; Witold Pedrycz

doi:10.1109/TSMC.1986.289297

Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Kaoru Hirota
, Witold Pedrycz

Katedra Pomiarów i Systemów Sterowania (RAU/RAU2)

Hosei University

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

11 Cytowania z bazy Scopus

Abstrakt

The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.

Język oryginału	angielski
Strony (od–do)	173-179
Liczba stron	7
Czasopismo	IEEE Transactions on Systems, Man and Cybernetics
Tom	16
Numer wydania	1
Identyfikatory DOI	https://doi.org/10.1109/TSMC.1986.289297
Status publikacji	Opublikowano - 1986

Obszary tematyczne ASJC Scopus

Inżynieria ogólna

Uzyskaj dostęp do dokumentu

10.1109/TSMC.1986.289297

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@article{4a48b03bfe284eae90c613cf5a8a7553,

title = "Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis",

abstract = "The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.",

author = "Kaoru Hirota and Witold Pedrycz",

year = "1986",

doi = "10.1109/TSMC.1986.289297",

language = "English",

volume = "16",

pages = "173--179",

journal = "IEEE Transactions on Systems, Man and Cybernetics",

issn = "0018-9472",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

AU - Hirota, Kaoru

AU - Pedrycz, Witold

PY - 1986

Y1 - 1986

N2 - The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.

AB - The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.

UR - https://www.scopus.com/pages/publications/0022561883

U2 - 10.1109/TSMC.1986.289297

DO - 10.1109/TSMC.1986.289297

M3 - Article

AN - SCOPUS:0022561883

SN - 0018-9472

VL - 16

SP - 173

EP - 179

JO - IEEE Transactions on Systems, Man and Cybernetics

JF - IEEE Transactions on Systems, Man and Cybernetics

IS - 1

ER -

Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Abstrakt

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie