Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS

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Title:	Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS
Authors:	Chou, Ying-Chyi;Yen, Hsin-Yi;Dang, Van Thac;Sun, Chia-Chi
Keywords:	TOPSIS;AHP;fuzzy theory;human resources in science and technology
Date:	2019-02-17
Issue Date:	2019-04-13 12:10:14 (UTC+8)
Abstract:	The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.
Relation:	Symmetry-Basel 11(2), p.251
DOI:	10.3390/sym11020251
Appears in Collections:	[Graduate Institute & Department of International Business] Journal Article

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