Title :
Comparison of AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection
Author :
Chou, Y.C. ; Yen, H.Y. ; Sun, C.C. ; Hon, J.S.
Author_Institution :
Dept. of Bus. Adm., Tunghai Univ., Taichung, Taiwan
Abstract :
The purpose of this article is to compare AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection. Both the AHP and Fuzzy AHP are extremely useful when a decision-making process is complex, as they can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria, and generate an overall rank of alternatives.
Keywords :
analytic hierarchy process; fuzzy set theory; human resource management; AHP method; HRST performance index selection; Human Resources in Science Technology performance index selection; decision-making process; fuzzy AHP methods; multiple-choice criteria; Analytic hierarchy process; Computational modeling; Equations; Fuzzy sets; Personnel; Pragmatics; AHP; Fuzzy theory; Human resources in science technology(HRST);
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location :
Bangkok
DOI :
10.1109/IEEM.2013.6962520
