| Article ID: | iaor20082257 |
| Country: | Netherlands |
| Volume: | 52 |
| Issue: | 4 |
| Start Page Number: | 414 |
| End Page Number: | 433 |
| Publication Date: | May 2007 |
| Journal: | Computers & Industrial Engineering |
| Authors: | Kahraman Cengiz, evik Sezi, Ates Nfer Yasin, Glbay Murat |
| Keywords: | fuzzy sets |
Industrial robots have been increasingly used by many manufacturing firms in different industries. While the number of robot manufacturers is also increasing with many alternative ranges of robots, potential end-users are faced with many options in both technical and economical factors in the evaluation of the industrial robotic systems. Industrial robotic system selection is a complex problem in which many qualitative attributes must be considered. These kinds of attributes make the evaluation process hard and vague. Hierarchical structure is a good approach to describe a complicated system. This paper proposes a fuzzy hierarchical TOPSIS model for the multi-criteria evaluation of the industrial robotic systems. An application is presented with some sensitivity analyses by changing the critical parameters.