Title: A multi-criteria decision support system for the assessment of cities based on air quality indicators

Authors: Rakesh Garg; Supriya Raheja; Aakash Gupta; Geetika Munjal

Addresses: Department of Computer Science and Engineering, Amity University Uttar Pradesh, India ' Department of Computer Science and Engineering, Amity University Uttar Pradesh, India ' Department of Computer Science and Engineering, Gateway Institute of Engineering and Technology, Sonipat, Haryana, India ' Department of Computer Science and Engineering, Amity University Uttar Pradesh, India

Abstract: A deterministic decision support system is developed for the assessment and ranking of various cities based on the air quality indicators in this research. The present study models such assessment of cities as a multi-criteria decision-making (MCDM) problem due to the involvement of multiple air quality indicators. Further, to solve the present assessment problem, a hybrid MCDM approach, namely, entropy-evaluation based on distance from average solution (EDAS-E) is implemented by integrating two well-known approaches such as Shannon entropy and evaluation based on distance from average solution (EDAS). Shannon entropy approach is used to calculate the priority weights of the air quality indicators whereas the EDAS method is used to get the comprehensive ranking of the cities based on the identified air quality indicators.

Keywords: air pollution; air quality indicators; multi-criteria decision making; MCDM; entropy; EDAS; decision support system.

DOI: 10.1504/IJIDS.2023.131536

International Journal of Information and Decision Sciences, 2023 Vol.15 No.2, pp.148 - 167

Received: 28 Dec 2020
Accepted: 12 Feb 2021
Published online: 19 Jun 2023 *

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