Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making

It is critical to arrive at an acceptable level of consensus in a group for an agreeable and implementable decision. The evaluation of alternatives in conventional TOPSIS decision making does not take into account the inherent vagueness of information as it requires a systematic decision-making proc...

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Main Author:	Shafie, Shahira
Format:	Thesis
Language:	eng eng
Published:	2022
Subjects:	QA76.76 Fuzzy System.
Online Access:	https://etd.uum.edu.my/10153/1/s826026_01.pdf https://etd.uum.edu.my/10153/2/s826026_02.pdf
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id	my-uum-etd.10153
record_format	uketd_dc
spelling	my-uum-etd.101532022-12-18T02:23:22Z Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making 2022 Shafie, Shahira Yaakob, Abdul Malek Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA76.76 Fuzzy System. It is critical to arrive at an acceptable level of consensus in a group for an agreeable and implementable decision. The evaluation of alternatives in conventional TOPSIS decision making does not take into account the inherent vagueness of information as it requires a systematic decision-making process in which relies on numerous conditions and unpredictable situations. It is common in deciding the best choice with the highest satisfaction degree that are evaluated based on attributes. However, two or more alternatives with the same or nearest satisfaction degree would lead to hesitancy in the decision. Thus, fuzzy network TOPSIS is incorporated with the hesitant fuzzy set is developed namely hesitant fuzzy network TOPSIS. Nevertheless, the reliability of decisions by experts and the complexity in large scale are less highlighted in hesitant fuzzy network TOPSIS. Therefore, this study aims in formulating hesitant fuzzy network TOPSIS with the incorporation of Z-numbers. The formulation also implies social network analysis for large-scale group decision making. In this study, four new fuzzy network TOPSIS are developed in small scale and large-scale group decision making. The proposed methods enhance the transparency and reliability by incorporating fuzzy network and Z numbers respectively. In addition, social network analysis is suitable for dealing with the complexity involved in large scale group decision making. For the practicality and the effectiveness of the proposed methods in a realistic scenario, a case study of stock selection and the analysis of results comparing proposed methods to the established methods has been considered. The ranking of the proposed methods are validated comparatively using performance indicators namely Spearman rho correlation, Root Means Squared Error, and Absolute Distance by assuming ranking based on Return on Investment as a benchmarking. Based on the case study, the proposed methods outperform the established methods in terms of average rank position. In conclusion, the proposed methods contribute significantly toward the implementation of small scale and large scale group decision making using hesitant fuzzy set, fuzzy network and Z numbers. 2022 Thesis https://etd.uum.edu.my/10153/ https://etd.uum.edu.my/10153/1/s826026_01.pdf text eng 2025-03-22 staffonly https://etd.uum.edu.my/10153/2/s826026_02.pdf text eng public other masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Yaakob, Abdul Malek
topic	QA76.76 Fuzzy System.
spellingShingle	QA76.76 Fuzzy System. Shafie, Shahira Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
description	It is critical to arrive at an acceptable level of consensus in a group for an agreeable and implementable decision. The evaluation of alternatives in conventional TOPSIS decision making does not take into account the inherent vagueness of information as it requires a systematic decision-making process in which relies on numerous conditions and unpredictable situations. It is common in deciding the best choice with the highest satisfaction degree that are evaluated based on attributes. However, two or more alternatives with the same or nearest satisfaction degree would lead to hesitancy in the decision. Thus, fuzzy network TOPSIS is incorporated with the hesitant fuzzy set is developed namely hesitant fuzzy network TOPSIS. Nevertheless, the reliability of decisions by experts and the complexity in large scale are less highlighted in hesitant fuzzy network TOPSIS. Therefore, this study aims in formulating hesitant fuzzy network TOPSIS with the incorporation of Z-numbers. The formulation also implies social network analysis for large-scale group decision making. In this study, four new fuzzy network TOPSIS are developed in small scale and large-scale group decision making. The proposed methods enhance the transparency and reliability by incorporating fuzzy network and Z numbers respectively. In addition, social network analysis is suitable for dealing with the complexity involved in large scale group decision making. For the practicality and the effectiveness of the proposed methods in a realistic scenario, a case study of stock selection and the analysis of results comparing proposed methods to the established methods has been considered. The ranking of the proposed methods are validated comparatively using performance indicators namely Spearman rho correlation, Root Means Squared Error, and Absolute Distance by assuming ranking based on Return on Investment as a benchmarking. Based on the case study, the proposed methods outperform the established methods in terms of average rank position. In conclusion, the proposed methods contribute significantly toward the implementation of small scale and large scale group decision making using hesitant fuzzy set, fuzzy network and Z numbers.
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Shafie, Shahira
author_facet	Shafie, Shahira
author_sort	Shafie, Shahira
title	Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
title_short	Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
title_full	Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
title_fullStr	Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
title_full_unstemmed	Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
title_sort	hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2022
url	https://etd.uum.edu.my/10153/1/s826026_01.pdf https://etd.uum.edu.my/10153/2/s826026_02.pdf
_version_	1776103753354575872

Hesitant fuzzy network topsis methods with the incorporation of z-numbers and social network analysis for small and large scale group decision making

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