Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak

Human capital is considered as a significant sub - dimension of the intellectual capital. There are many indicators that can be used to measure the importance of human capital such as work output, knowledge and skill and personal quality. For ensuring the effectiveness in an organization, the measur...

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Main Author:	Abdul Razak, Samsiah
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/16442/2/16442.pdf
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id	my-uitm-ir.16442
record_format	uketd_dc
spelling	my-uitm-ir.164422024-05-30T03:47:32Z Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak 2013-12 Abdul Razak, Samsiah Human capital is considered as a significant sub - dimension of the intellectual capital. There are many indicators that can be used to measure the importance of human capital such as work output, knowledge and skill and personal quality. For ensuring the effectiveness in an organization, the measurement indicators for human capital must be prioritized and defined. Normally in prioritizing the measurement indicators, it involves data that are imprecise or subjective in nature. The concept of fuzzy soft set basically is a generalization of the basic concept of soft set theory. It is a combination between soft sets and fuzzy sets, where the fuzzy values are used in soft set theory. However, the existing decision making methods related to fuzzy soft set theory only consider either single or two decision makers in solving decision making problems and there is no systematic method for determining the weights of criteria is given in fuzzy soft sets. The weights of criteria are basically determined by decision makers without any proper procedure. Determination of criteria weight is not considered in the decision making process based on the concept fuzzy soft matrices. The Lambda - max method which frequently utilized in the fuzzy analytic hierarchy process (Fuzzy AHP), has been applied to determine criteria weight. Fuzzy soft matrices are used in determining the score of each indicator in sub - criteria and AHP are applied to prioritize the measurement indicators of human capital in hierarchical structure. In this research, the matrix concept is applied in fuzzy soft sets. The complex problem will divided into the same factors and presented in each level of hierarchy. The fuzzy soft max — min decision making (FSMmDM) method will be generalized to n number of decision makers where n > 2 . The group decision making problems incorporating together with the weight of the criteria will be solved by using the proposed method. The human capital measurement indicators for academicians in the research study will be prioritized by using the proposed procedure. 2013-12 Thesis https://ir.uitm.edu.my/id/eprint/16442/ https://ir.uitm.edu.my/id/eprint/16442/2/16442.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
description	Human capital is considered as a significant sub - dimension of the intellectual capital. There are many indicators that can be used to measure the importance of human capital such as work output, knowledge and skill and personal quality. For ensuring the effectiveness in an organization, the measurement indicators for human capital must be prioritized and defined. Normally in prioritizing the measurement indicators, it involves data that are imprecise or subjective in nature. The concept of fuzzy soft set basically is a generalization of the basic concept of soft set theory. It is a combination between soft sets and fuzzy sets, where the fuzzy values are used in soft set theory. However, the existing decision making methods related to fuzzy soft set theory only consider either single or two decision makers in solving decision making problems and there is no systematic method for determining the weights of criteria is given in fuzzy soft sets. The weights of criteria are basically determined by decision makers without any proper procedure. Determination of criteria weight is not considered in the decision making process based on the concept fuzzy soft matrices. The Lambda - max method which frequently utilized in the fuzzy analytic hierarchy process (Fuzzy AHP), has been applied to determine criteria weight. Fuzzy soft matrices are used in determining the score of each indicator in sub - criteria and AHP are applied to prioritize the measurement indicators of human capital in hierarchical structure. In this research, the matrix concept is applied in fuzzy soft sets. The complex problem will divided into the same factors and presented in each level of hierarchy. The fuzzy soft max — min decision making (FSMmDM) method will be generalized to n number of decision makers where n > 2 . The group decision making problems incorporating together with the weight of the criteria will be solved by using the proposed method. The human capital measurement indicators for academicians in the research study will be prioritized by using the proposed procedure.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abdul Razak, Samsiah
spellingShingle	Abdul Razak, Samsiah Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
author_facet	Abdul Razak, Samsiah
author_sort	Abdul Razak, Samsiah
title	Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
title_short	Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
title_full	Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
title_fullStr	Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
title_full_unstemmed	Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak
title_sort	prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy ahp / samsiah abdul razak
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/16442/2/16442.pdf
_version_	1804889565878550528

Prioritization of human capital measurement indicators using integration of fuzzy soft matrix and fuzzy AHP / Samsiah Abdul Razak

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