An Overview of Multi-Criteria Decision Analysis and the Applications of AHP and TOPSIS Methods-Reference-Cited by-同舟云学术

An Overview of Multi-Criteria Decision Analysis and the Applications of AHP and TOPSIS Methods

Published:2024-06-01 Issue:3 Volume:9 Page:581-615
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int. j. math. eng. manag. sci.

Author:

Chaube Shshank¹,Pant Sangeeta²,Kumar Anuj³,Uniyal Shaurya⁴,Singh Manoj Kumar⁵,Kotecha Ketan⁶,Kumar Akshay⁷

Affiliation:

1. Department of Physical Sciences, Jaypee University Anoopshahr, Bulandshahr, Uttar Pradesh, India.

2. Department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, Maharashtra, India.

3. School of Computer Science Engineering & Applications, D.Y. Patil International University, Akrudi, Pune, Maharashtra, India.

4. Department of Applied Sciences, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India.

5. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India.

6. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, Maharashtra, India.

7. Department of Mathematics, Graphic Era Hill University, Dehradun, Uttarakhand, India.

Abstract

The integration of multiple technical, economic, environmental, and social criteria establishes Multi-Criteria Decision Analysis (MCDA) as a dependable decision-making tool in the context of interdisciplinary research. This study employs a literature-based methodology to illustrate how MCDA, particularly utilizing the Analytical Hierarchy Process (AHP) and TOPSIS models, has been utilized to tackle intricate decision-making issues. It also highlights the noteworthy discoveries derived from real-world applications, drawing upon previous research and case studies. This study explores the methodologies employed in the commonly utilized AHP and TOPSIS approaches, highlighting their broad applicability across various industries from 2000 to 2023. Additionally, a comprehensive examination of the applications of MCDA has been organized into five distinct sectors, namely supply chain, healthcare, business, resource management, and engineering & manufacturing.

Publisher

Ram Arti Publishers

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