FUZZY MULTI-CRITERIA EVALUATION OF INDUSTRIAL ROBOTIC SYSTEMS USING TOPSIS


Kahraman C. , Kaya I., Çevik Onar S. , Ates N. Y. , Gulbay M.

FUZZY MULTI-CRITERIA DECISION MAKING: THEORY AND APPLICATIONS WITH RECENT DEVELOPMENTS, vol.16, pp.159-186, 2008 (Refereed Journals of Other Institutions) identifier

  • Publication Type: Article / Article
  • Volume: 16
  • Publication Date: 2008
  • Title of Journal : FUZZY MULTI-CRITERIA DECISION MAKING: THEORY AND APPLICATIONS WITH RECENT DEVELOPMENTS
  • Page Numbers: pp.159-186

Abstract

Industrial robots have been increasingly used by many manufacturing firms in different industries. Although 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. The hierarchical structure is a good approach to describing a complicated system. This chapter proposes a fuzzy hierarchical technique for order preference by similarity ideal solution (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.