Computing with words approach for fuzzy group decision-making
This paper discusses an alternative computation approach for the fuzzy linguistics evaluation process that utilises the concept of ‘computing with words’. Three steps were established under the linguistic information; i) identification of the linguistic term set with its semantic, ii) choosing the a...
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iium-105702012-03-20T08:29:27Z http://irep.iium.edu.my/10570/ Computing with words approach for fuzzy group decision-making Tarmudi, Zamali Md. Tap, Abu Osman Abdullah, Mohd Lazim This paper discusses an alternative computation approach for the fuzzy linguistics evaluation process that utilises the concept of ‘computing with words’. Three steps were established under the linguistic information; i) identification of the linguistic term set with its semantic, ii) choosing the appropriate aggregation operator of linguistic information, and iii) derivation and selection of the best alternative through aggregation and exploitation phases. A numerical example was employed to demonstrate the feasibility of the proposed approach. The result shows that the approach is highly beneficial in terms of applicability and user friendly in a decision framework. 2010-12-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/10570/1/Computing_with_Words_Approach_for_Fuzzy_Group_Decision-Making.pdf Tarmudi, Zamali and Md. Tap, Abu Osman and Abdullah, Mohd Lazim (2010) Computing with words approach for fuzzy group decision-making. In: International Conference on Science and Social Research (CSSR 2010), 5-7 Dec.2010, Seri Pacific Hotel,KL. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5773919&tag=1 |
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Local University |
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International Islamic University Malaysia |
building |
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collection |
Online Access |
language |
English |
description |
This paper discusses an alternative computation approach for the fuzzy linguistics evaluation process that utilises the concept of ‘computing with words’. Three steps were established under the linguistic information; i) identification of the linguistic term set with its semantic, ii) choosing the appropriate aggregation operator of linguistic information, and iii) derivation and selection of the best alternative through aggregation and exploitation phases. A numerical example was employed to demonstrate the feasibility of the proposed approach. The result shows that the approach is highly beneficial in terms of applicability and user friendly in a decision framework.
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format |
Conference or Workshop Item |
author |
Tarmudi, Zamali Md. Tap, Abu Osman Abdullah, Mohd Lazim |
spellingShingle |
Tarmudi, Zamali Md. Tap, Abu Osman Abdullah, Mohd Lazim Computing with words approach for fuzzy group decision-making |
author_facet |
Tarmudi, Zamali Md. Tap, Abu Osman Abdullah, Mohd Lazim |
author_sort |
Tarmudi, Zamali |
title |
Computing with words approach for fuzzy group decision-making |
title_short |
Computing with words approach for fuzzy group decision-making |
title_full |
Computing with words approach for fuzzy group decision-making |
title_fullStr |
Computing with words approach for fuzzy group decision-making |
title_full_unstemmed |
Computing with words approach for fuzzy group decision-making |
title_sort |
computing with words approach for fuzzy group decision-making |
publishDate |
2010 |
url |
http://irep.iium.edu.my/10570/ http://irep.iium.edu.my/10570/ http://irep.iium.edu.my/10570/1/Computing_with_Words_Approach_for_Fuzzy_Group_Decision-Making.pdf |
first_indexed |
2023-09-18T20:19:58Z |
last_indexed |
2023-09-18T20:19:58Z |
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1777408041371566080 |