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Group decision making-based TODIM under linguistic aggregation majority additive operator

This paper proposes an extension of TODIM (interactive multi-criteria decision making ) under group decision making (GDM) using the Linguistic Aggregation Majority Additive (LAMA) operator . TODIM is an effective method in modelling experts' psychological behaviour in the decision - making p...

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Main Authors:	Elissa Nadia, Madi, Rosli, N.N.N.C, Yusoff, B., Wahab, A.F.
Format:	Conference or Workshop Item
Language:	English
Published:	2021
Subjects:	P Philology. Linguistics QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://eprints.unisza.edu.my/4197/1/FH03-FIK-21-56529.pdf http://eprints.unisza.edu.my/4197/
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id	my-unisza-ir.4197
record_format	eprints
spelling	my-unisza-ir.41972021-12-30T01:56:47Z http://eprints.unisza.edu.my/4197/ Group decision making-based TODIM under linguistic aggregation majority additive operator Elissa Nadia, Madi Rosli, N.N.N.C Yusoff, B. Wahab, A.F. P Philology. Linguistics QA75 Electronic computers. Computer science T Technology (General) This paper proposes an extension of TODIM (interactive multi-criteria decision making ) under group decision making (GDM) using the Linguistic Aggregation Majority Additive (LAMA) operator . TODIM is an effective method in modelling experts' psychological behaviour in the decision - making process. However, under the GDM, the method is based solely on the average of all experts' judgments without any consideration to soft aggregation processes that include majority and/or minority concepts. In this work, the LAMA operator is used to be integrated with TODIM - GDM to aggregate the experts' opinions with respect to the majority concept under the linguistic domain. This is to provide a greater flexibility in reaching a consensus instead of only considering equally average using the classical averaging operators. Two linguistic representations, namely, symbolic approach and 2-tuple linguistic approach for LAMA operator are proposed to be utilised in the method. A numerical example in investment selection problem is provided to illustrate the applicability of the proposed method. Finally, the comparison of these two linguistic approaches is presented. The results show that LAMA under the 2-tuple linguistic approach is preferable to the symbolic approach in case of there is a tie between alternatives in the final ranking. 2021 Conference or Workshop Item PeerReviewed text en http://eprints.unisza.edu.my/4197/1/FH03-FIK-21-56529.pdf Elissa Nadia, Madi and Rosli, N.N.N.C and Yusoff, B. and Wahab, A.F. (2021) Group decision making-based TODIM under linguistic aggregation majority additive operator. In: 28th Simposium Kebangsaan Sains Matematik, 28-29 Jul 2021, Virtual, Pahang.
institution	Universiti Sultan Zainal Abidin
building	UNISZA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sultan Zainal Abidin
content_source	UNISZA Institutional Repository
url_provider	https://eprints.unisza.edu.my/
language	English
topic	P Philology. Linguistics QA75 Electronic computers. Computer science T Technology (General)
spellingShingle	P Philology. Linguistics QA75 Electronic computers. Computer science T Technology (General) Elissa Nadia, Madi Rosli, N.N.N.C Yusoff, B. Wahab, A.F. Group decision making-based TODIM under linguistic aggregation majority additive operator
description	This paper proposes an extension of TODIM (interactive multi-criteria decision making ) under group decision making (GDM) using the Linguistic Aggregation Majority Additive (LAMA) operator . TODIM is an effective method in modelling experts' psychological behaviour in the decision - making process. However, under the GDM, the method is based solely on the average of all experts' judgments without any consideration to soft aggregation processes that include majority and/or minority concepts. In this work, the LAMA operator is used to be integrated with TODIM - GDM to aggregate the experts' opinions with respect to the majority concept under the linguistic domain. This is to provide a greater flexibility in reaching a consensus instead of only considering equally average using the classical averaging operators. Two linguistic representations, namely, symbolic approach and 2-tuple linguistic approach for LAMA operator are proposed to be utilised in the method. A numerical example in investment selection problem is provided to illustrate the applicability of the proposed method. Finally, the comparison of these two linguistic approaches is presented. The results show that LAMA under the 2-tuple linguistic approach is preferable to the symbolic approach in case of there is a tie between alternatives in the final ranking.
format	Conference or Workshop Item
author	Elissa Nadia, Madi Rosli, N.N.N.C Yusoff, B. Wahab, A.F.
author_facet	Elissa Nadia, Madi Rosli, N.N.N.C Yusoff, B. Wahab, A.F.
author_sort	Elissa Nadia, Madi
title	Group decision making-based TODIM under linguistic aggregation majority additive operator
title_short	Group decision making-based TODIM under linguistic aggregation majority additive operator
title_full	Group decision making-based TODIM under linguistic aggregation majority additive operator
title_fullStr	Group decision making-based TODIM under linguistic aggregation majority additive operator
title_full_unstemmed	Group decision making-based TODIM under linguistic aggregation majority additive operator
title_sort	group decision making-based todim under linguistic aggregation majority additive operator
publishDate	2021
url	http://eprints.unisza.edu.my/4197/1/FH03-FIK-21-56529.pdf http://eprints.unisza.edu.my/4197/
_version_	1720984497467424768
score	13.211869

Group decision making-based TODIM under linguistic aggregation majority additive operator

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