Application of fuzzy technique for order preference by similarity to the ideal solution in the selection of candidates / Mohd Ariff Ahmad Taharim and Kor Liew Kee

Selecting the right candidate for the right cause is similar to identifying the most compromising solution of multi-criteria decision making (MCDM) problem. In real life the selection criteriamay involve vague and incomplete data which cannot be expressed in precise mathematical form or numerical va...

Full description

Bibliographic Details
Main Authors: Ahmad Taharim, Mohd Ariff, Kor, Liew Kee
Format: Article
Language:English
Published: Research Management Institute (RMI) 2012
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/13102/
http://ir.uitm.edu.my/id/eprint/13102/1/AJ_MOHD%20ARIFF%20AHMAD%20TAHARIM%20SMRJ%2012%201.pdf
Description
Summary:Selecting the right candidate for the right cause is similar to identifying the most compromising solution of multi-criteria decision making (MCDM) problem. In real life the selection criteriamay involve vague and incomplete data which cannot be expressed in precise mathematical form or numerical values. Apparently fuzzy-based technique can be applied to describe and represent these data in fuzzy numbers. This paper presents a MCDM fuzzy TOPSIS based model designed to solve the selection problemfor allocation of government staff quarters. Result shows that the proposed model is suitable and appropriate. It was also found that the MCDM model which uses single decision maker rating process can also be applied to multiple decision makers. It is recommended that the application of fuzzy TOPSIS can be extended to other selection processes such as vendor selection, training evaluation or group marking of project works.