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A definition for he...
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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 ...
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2016
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Taylor & Francis Group,2016
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Numbers
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LIBRIS-ID:oai:DiVA.org:his-13066
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13066URI
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https://doi.org/10.1080/18756891.2016.1175814DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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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Torra, VicençHögskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Skövde Artificial Intelligence Lab (SAIL)(Swepub:his)torv
(author)
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Eslami, EsfandiarDepartment of Pure Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
(author)
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Eftekhari, MahdiDepartment of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
(author)
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Department of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, IranInstitutionen för informationsteknologi
(creator_code:org_t)
Related titles
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In:International Journal of Computational Intelligence Systems: Taylor & Francis Group9:3, s. 497-5051875-68911875-6883
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