A New Concept of Fuzzy TOPSIS and Fuzzy Logic in a Multi-criteria Decision

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)

Abstract

In reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale. Much of the information on which decision are based is uncertain, the methods can be used to support the system’s decision is to use Fuzzy Multi-Criteria Decision Making (FMCDM). This method was chosen because it can selecting the best alternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making (FMCDM) is a method of decision-making to determine the best alternative from a number of alternatives based on certain criteria. The criteria usually in the form of action, rules or standards used in decision making. The lack of capability to handle vagueness in the decision making, has been main weakness of Fuzzy TOPSIS. Thus, the purpose of this paper is to introduce Fuzzy TOPSIS and z-number to several criteria fuzzy group decision making (FMCDM). Fuzzy TOPSIS is used to determine the alternative most suitable in relation to different selection criteria and z-number to present experts reability, this method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical example on FMCDM is used to describe the efficiency of the proposed method.

Keywords

Fuzzy TOPSIS Z-number Multi-criteria decision-making 

Notes

Acknowledgements

This research is supported by Dana Penyelidikan Universiti UNISZA/2016/DPU/10, Universiti Sultan Zainal Abidin. This support is gratefully acknowledged.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Informatics and ComputingUniversity Sultan Zainal AbidinBesutMalaysia

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