Developing a fuzzy TOPSIS model in multiple attribute group decision making

Decision making is explained as a process through which, the solution for a problem is selected. Lack of perfect information evidently leads to uncertainty. Decision makers' opinion are expressed through words of natural language through a process of fuzzy multi attribute group decision making...

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Main Authors: Anisseh, Mohammad, Mohd Yusuff, Rosnah
Format: Article
Language:English
Published: Academic Journals 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22975/1/22975.pdf
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author Anisseh, Mohammad
Mohd Yusuff, Rosnah
author_facet Anisseh, Mohammad
Mohd Yusuff, Rosnah
author_sort Anisseh, Mohammad
collection UPM
description Decision making is explained as a process through which, the solution for a problem is selected. Lack of perfect information evidently leads to uncertainty. Decision makers' opinion are expressed through words of natural language through a process of fuzzy multi attribute group decision making problem and aggregates the performance rating with respect to all the attributes for each alternative. In this paper, a technique for order preference by similarity to ideal solution (TOPSIS) has been dealt with in the fuzzy environment based on decision makers' viewpoint weights. The decision makers' fuzzy decision matrixes were converted into an aggregated decision matrix to determine the most preferable choice among all possible alternatives. Finally, a numerical example was used to illustrate the procedure of the method and compare it with other extant methods.
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spelling upm.eprints-229752018-10-18T07:06:57Z http://psasir.upm.edu.my/id/eprint/22975/ Developing a fuzzy TOPSIS model in multiple attribute group decision making Anisseh, Mohammad Mohd Yusuff, Rosnah Decision making is explained as a process through which, the solution for a problem is selected. Lack of perfect information evidently leads to uncertainty. Decision makers' opinion are expressed through words of natural language through a process of fuzzy multi attribute group decision making problem and aggregates the performance rating with respect to all the attributes for each alternative. In this paper, a technique for order preference by similarity to ideal solution (TOPSIS) has been dealt with in the fuzzy environment based on decision makers' viewpoint weights. The decision makers' fuzzy decision matrixes were converted into an aggregated decision matrix to determine the most preferable choice among all possible alternatives. Finally, a numerical example was used to illustrate the procedure of the method and compare it with other extant methods. Academic Journals 2011-03 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22975/1/22975.pdf Anisseh, Mohammad and Mohd Yusuff, Rosnah (2011) Developing a fuzzy TOPSIS model in multiple attribute group decision making. Scientific Research and Essays, 6 (5). art. no. B9D4E3E19692. pp. 1046-1052. ISSN 1992-2248 https://academicjournals.org/journal/SRE/article-abstract/B9D4E3E19692 10.5897/SRE10.772
spellingShingle Anisseh, Mohammad
Mohd Yusuff, Rosnah
Developing a fuzzy TOPSIS model in multiple attribute group decision making
title Developing a fuzzy TOPSIS model in multiple attribute group decision making
title_full Developing a fuzzy TOPSIS model in multiple attribute group decision making
title_fullStr Developing a fuzzy TOPSIS model in multiple attribute group decision making
title_full_unstemmed Developing a fuzzy TOPSIS model in multiple attribute group decision making
title_short Developing a fuzzy TOPSIS model in multiple attribute group decision making
title_sort developing a fuzzy topsis model in multiple attribute group decision making
url http://psasir.upm.edu.my/id/eprint/22975/1/22975.pdf
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