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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Research Management Institute (RMI),
2012.
|
| Subjects: | |
| Online Access: | Link Metadata |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_13102 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Ahmad Taharim, Mohd Ariff |e author |
| 700 | 1 | 0 | |a Kor, Liew Kee |e author |
| 245 | 0 | 0 | |a 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 |
| 260 | |b Research Management Institute (RMI), |c 2012. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/13102/1/AJ_MOHD%20ARIFF%20AHMAD%20TAHARIM%20SMRJ%2012%201.pdf | ||
| 520 | |a 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. | ||
| 546 | |a en | ||
| 690 | |a QA Mathematics | ||
| 690 | |a Fuzzy logic | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/13102/ | |
| 787 | 0 | |n https://smrj.uitm.edu.my/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/13102/ |z Link Metadata |