Fuzzy TOPSIS method in the selection of Investment Boards by incorporating operational risks

Elissa Nadia Madi · Abu Osman

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Multi-Criteria Decision Making Optimization and Mathematical Programming Fuzzy and Soft Set Theory

Abstract

Multi Criteria Decision Making (MCDM) involves not only attributes that are precise or crisp, but also values that are not deterministic. Currently, Fuzzy TOPSIS presents a solution for decision makers when dealing with real world data that are usually multi attributes and involves a complex decision making process. In this work, an application of this method is demonstrated in the selection of Investment Boards by taking into account the operational risks involved.

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1996Fuzzy sets 2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS 2000Extensions of the TOPSIS for group decision-making under fuzzy environment 1985Fuzzy hierarchical analysis 2005Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment 2004A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem

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