Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

Applying Fuzzy Inference System by Using Conventional Technique to Solve MADM Problems

Document Type : Research Paper

Authors
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
Abstract
Fuzzy inference system as a powerful tool to deal with uncertainty is applied in solving multi-attribute decision-making (MADM) problems. So far, the various methods have been applied in order to increase the accuracy of decision making in solving these types of problems with at least computational process. The main objective in this research is that with developing a fuzzy inference system based on a conventional technique as TOPSIS accomplished more accurate ranking. To do so, researcher with modifying the expert's opinion aggregation process type in solving MADM problem will improve final score of alternatives. Indeed, in order to finalize the aggregation of expert's results and makes a unique judgment is utilized TOPSIS technique. As a case-based problem, in this research is examined data regarding a supplier selection problem (SSP) that has been extracted from a validate method. As well, the verifying and validity of the proposed approach is demonstrated with the data of a numerical example of a research and comparative analysis for the problem at hand.
Keywords
Subjects

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Volume 13, Issue 1 - Serial Number 1
Winter 2020
Pages 317-328

  • Receive Date 25 March 2019
  • Revise Date 17 June 2019
  • Accept Date 26 November 2019