International Journal of Computational Intelligence Systems

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Volume 9, Issue 3, June 2016, Pages 497 - 505

A Definition for Hesitant fuzzy Partitions

Authors
Laya Aliahmadipour1, L.Aliahmadipour@math.uk.ac.ir, Vicenç Torra2, vtorra@his.se, Esfandiar Eslami3, Esfandiar.Eslami@uk.ac.ir, Mahdi Eftekhari4, M.Eftekhari@uk.ac.ir
Received 25 November 2015, Accepted 5 February 2016, Available Online 1 June 2016.
DOI
10.1080/18756891.2016.1175814How to use a DOI?
Keywords
Fuzzy partition; I-fuzzy partition; Hesitant fuzzy set; Hesitant fuzzy partition
Abstract

In this paper, we define hesitant fuzzy partitions (H-fuzzy partitions) to consider the results of standard fuzzy clustering family (e.g. fuzzy c-means and intuitionistic fuzzy c-means). We define a method to construct H-fuzzy partitions from a set of fuzzy clusters obtained from several executions of fuzzy clustering algorithms with various initialization of their parameters. Our purpose is to consider some local optimal solutions to find a global optimal solution also letting the user to consider various reliable membership values and cluster centers to evaluate her/his problem using different cluster validity indices.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 3
Pages
497 - 505
Publication Date
2016/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1175814How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Laya Aliahmadipour
AU  - Vicenç Torra
AU  - Esfandiar Eslami
AU  - Mahdi Eftekhari
PY  - 2016
DA  - 2016/06/01
TI  - A Definition for Hesitant fuzzy Partitions
JO  - International Journal of Computational Intelligence Systems
SP  - 497
EP  - 505
VL  - 9
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1175814
DO  - 10.1080/18756891.2016.1175814
ID  - Aliahmadipour2016
ER  -