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

نویسندگان

1 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

2 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

3 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

4 Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

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چکیده

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.