Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS

In this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and...

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Main Authors: Emad Roghanian, Fatemeh Mojibian
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2012-10-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:http://jims.atu.ac.ir/article_1933_f1cd06a6910d5cbfed3ea20ac7549fca.pdf
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spelling doaj-819a4de7ed6b469f97ee95ec8da839ed2020-11-24T20:44:14ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292012-10-0110263554Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSISEmad RoghanianFatemeh MojibianIn this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and weights of decision makers’ opinions are unknown. In proposed method, expected values and weighted averaging operator for trapezoidal intuitionist fuzzy numbers are used to induce the weight values of criteria and decision makers’ opinions. Then an algorithm for ranking alternatives is presented under trapezoidal intuitionist fuzzy environment. Finally, using a numerical example, the efficiency of new extended TOPSIS method is investigated.http://jims.atu.ac.ir/article_1933_f1cd06a6910d5cbfed3ea20ac7549fca.pdfsis; Trapezoidal intuitionist fuzzy numbers; Group decision making; Weighted averaging operator
collection DOAJ
language fas
format Article
sources DOAJ
author Emad Roghanian
Fatemeh Mojibian
spellingShingle Emad Roghanian
Fatemeh Mojibian
Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
sis; Trapezoidal intuitionist fuzzy numbers; Group decision making; Weighted averaging operator
author_facet Emad Roghanian
Fatemeh Mojibian
author_sort Emad Roghanian
title Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
title_short Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
title_full Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
title_fullStr Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
title_full_unstemmed Group decision making based Abstract on novel trapezoidal intuitionist fuzzy TOPSIS
title_sort group decision making based abstract on novel trapezoidal intuitionist fuzzy topsis
publisher Allameh Tabataba'i University Press
series Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
issn 2251-8029
publishDate 2012-10-01
description In this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and weights of decision makers’ opinions are unknown. In proposed method, expected values and weighted averaging operator for trapezoidal intuitionist fuzzy numbers are used to induce the weight values of criteria and decision makers’ opinions. Then an algorithm for ranking alternatives is presented under trapezoidal intuitionist fuzzy environment. Finally, using a numerical example, the efficiency of new extended TOPSIS method is investigated.
topic sis; Trapezoidal intuitionist fuzzy numbers; Group decision making; Weighted averaging operator
url http://jims.atu.ac.ir/article_1933_f1cd06a6910d5cbfed3ea20ac7549fca.pdf
work_keys_str_mv AT emadroghanian groupdecisionmakingbasedabstractonnoveltrapezoidalintuitionistfuzzytopsis
AT fatemehmojibian groupdecisionmakingbasedabstractonnoveltrapezoidalintuitionistfuzzytopsis
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