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A definition for hesitant fuzzy partitions
Department of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran.
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0002-0368-8037
Department of Pure Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran.
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
2016 (engelsk)Inngår i: International Journal of Computational Intelligence Systems, ISSN 1875-6891, E-ISSN 1875-6883, Vol. 9, nr 3, s. 497-505Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Taylor & Francis Group, 2016. Vol. 9, nr 3, s. 497-505
Emneord [en]
Fuzzy partition, I-fuzzy partition, Hesitant fuzzy set, Hesitant fuzzy partition
HSV kategori
Forskningsprogram
Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
URN: urn:nbn:se:his:diva-13066DOI: 10.1080/18756891.2016.1175814ISI: 000373756900007Scopus ID: 2-s2.0-84963682311OAI: oai:DiVA.org:his-13066DiVA, id: diva2:1044079
Tilgjengelig fra: 2016-11-01 Laget: 2016-11-01 Sist oppdatert: 2019-02-19bibliografisk kontrollert

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