Image Mining Inranking Approach under Interval-Valued Hesitant Fuzzy Set Gr Selection

Authors(1) :-Prof P. Senthil

In the last decades, considerations concerning the environmental problems cause skilled and educational efforts on inexperienced provider choice issues. during this sake, one among the most problems in evaluating the inexperienced provider choice issues, that might increase the uncertainty, is that the preferences of the experts' judgments concerning the candidate inexperienced suppliers. Therefore, getting ready AN professional system to guage the matter supported the historical information and therefore the experts' data are often smart. Image Mining provides AN professional analysis system to assess the candidate inexperienced suppliers underneath chosen criteria in an exceedingly multi-period approach. additionally, a ranking approach underneath interval-valued hesitant fuzzy set (IVHFS) setting is projected to pick the foremost acceptable inexperienced provider in designing horizon. within the projected ranking approach, the IVHFS and therefore the last aggregation approach is taken into account to margin the errors and to forestall information loss, severally. Hence, a comparative ANalysis is provided supported an illustrative example to point out the feasibleness of the projected approach.

Authors and Affiliations

Prof P. Senthil
Department of Computer Science, Kurinji College of Arts and Science, Tiruchirappalli Tamil Nadu, India

Green selection, Expert system, Ranking approach, Interval-valued hesitant fuzzy setting,Image Mining

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Publication Details

Published in : Volume 1 | Issue 2 | September-October 2016
Date of Publication : 2016-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 105-114
Manuscript Number : CSEIT161216
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof P. Senthil, "Image Mining Inranking Approach under Interval-Valued Hesitant Fuzzy Set Gr Selection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 1, Issue 2, pp.105-114, September-October.2016
URL : http://ijsrcseit.com/CSEIT161216

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