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  • Aliahmadipour, LayaDepartment of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran (author)

A definition for hesitant fuzzy partitions

  • Article/chapterEnglish2016

Publisher, publication year, extent ...

  • 2016
  • Taylor & Francis Group,2016
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:his-13066
  • https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13066URI
  • https://doi.org/10.1080/18756891.2016.1175814DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Torra, VicençHögskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Skövde Artificial Intelligence Lab (SAIL)(Swepub:his)torv (author)
  • Eslami, EsfandiarDepartment of Pure Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran (author)
  • Eftekhari, MahdiDepartment of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran (author)
  • Department of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, IranInstitutionen för informationsteknologi (creator_code:org_t)

Related titles

  • In:International Journal of Computational Intelligence Systems: Taylor & Francis Group9:3, s. 497-5051875-68911875-6883

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