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

Ali Taherinezhad

Makale detayları

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

Yazarlar:

Ali Taherinezhad

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.3 Issue 1, pp.398-419

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324141

pISSN:

2822-6410

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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.

Makale detayları

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

Yazarlar:

Ali Taherinezhad

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.3 Issue 1, pp.398-419

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324141

pISSN:

2822-6410

Dynamic MCDM

Uncertainty

Fuzzy Theory

Emergency Severity Index

Triage Patients

Sayı

Makale detayları

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

Yazarlar: Ali Taherinezhad

Yayıncı: Ankara Yildirim Beyazit University

Ana Başlıklar: Industrial Engineering

Dergi: Journal of Optimization and Decision Making Vol.3 Issue 1, pp.398-419

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001324141

pISSN: 2822-6410

Dynamic MCDM

Uncertainty

Fuzzy Theory

Emergency Severity Index

Triage Patients

Sayı

Yazarlar:

Ali Taherinezhad

Yayıncı:

Ankara Yildirim Beyazit University

Ana Başlıklar:

Industrial Engineering

Dergi:

Journal of Optimization and Decision Making Vol.3 Issue 1, pp.398-419

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324141

pISSN:

2822-6410