期刊論文

學年 107
學期 2
出版(發表)日期 2019-02-17
作品名稱 Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS
作品名稱(其他語言)
著者 Chou, Ying-Chyi; Yen, Hsin-Yi; Dang, Van Thac; Sun, Chia-Chi
單位
出版者
著錄名稱、卷期、頁數 Symmetry-Basel 11(2), p.251
摘要 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.
關鍵字 TOPSIS;AHP;fuzzy theory;human resources in science and technology
語言 en
ISSN 2073-8994
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116231 )