Deterministic Decision Support System for the Assessment of Cities Based on Air Quality Indicators: Decision Support System Using DBA

被引：0

作者：

Garg, Rakesh ^{[1
]}

Raheja, Supriya ^{[2
]}

机构：

[1] Amity Univ, Dept Comp Sci & Engn, Noida, India

[2] Amity Univ, Noida, India

来源：

INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY | 2022年 / 14卷 / 01期

关键词：

Air Pollution; Air Quality Indicators; Assessment; Decision Support System; Distance-Based Approach (DBA); Euclidean Distance; Multi-Criteria Decision Making (MCDM); Ranking; SPATIAL-ANALYSIS; POLLUTION; POLLUTANTS; SELECTION; EXPOSURE; IMPACT; CITY;

D O I：

10.4018/IJDSST.292448

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A deterministic decision support system is developed for the assessment of various Indian cities based on the air quality parameters in this research. The present study shapes the assessment of cities as a multi-criteria decision-making (MCDM) problem due to the involvement of many indicators. To solve the present assessment problem the authors use an MCDM method, namely distance-based approach (DBA), that mainly works on the Euclidean distance calculation for each city from the optimal point and ranks the cities on the basis of their calculated distances. The city scoring minimum distance value is ranked at top position, and the city with the maximum distance value at the last position.

引用

页码：1 / 2

页数：20

共 30 条

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