Fuzzy VIKOR Method for Dynamic MADM Problem Solution in ESI 5-Level Triage System

Abstract

Multiple Attribute Decision Making (MADM) tool make preference decisions over multiple attributes’ alternatives available, which in most of the cases conflict among themselves. The classic MADM includes techniques that consider a set of fixed and predefined attributes when making a decision. However, majority of real-world decisions occur in dynamic and unstable scenarios. Therefore, classic MADM will not be the answer to our problems in the real world and uncertainty. This paper addresses a flexible framework for dynamic MADM, based on the concept of fuzzy sets theory and the VIKOR method to provide a rational, scientific and systematic process for prioritizing patients in Emergency Department (ED) under a fuzzy environment where the uncertainty, subjectivity, and vagueness are addressed with linguistic variables parameterized by triangular fuzzy numbers. Finally, the computational results are discussed in detail. Dynamic decisions arise in many applications including military, medical, management, sports and emergency situations. Therefore, this study can affect a wide range of applied fields.

Keywords

• Dynamic MCDM
• Uncertainty
• Fuzzy Theory
• Emergency Severity Index
• Triage Patients

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