{"title":"基于空气质量指标的城市评价确定性决策支持系统:基于DBA的决策支持系统","authors":"R. Garg, Supriya Raheja","doi":"10.4018/ijdsst.292448","DOIUrl":null,"url":null,"abstract":"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, 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 on the last position.","PeriodicalId":42414,"journal":{"name":"International Journal of Decision Support System Technology","volume":"45 1","pages":"1-20"},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deterministic Decision Support System for the Assessment of Cities Based on Air Quality Indicators: Decision Support System Using DBA\",\"authors\":\"R. Garg, Supriya Raheja\",\"doi\":\"10.4018/ijdsst.292448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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, 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 on the last position.\",\"PeriodicalId\":42414,\"journal\":{\"name\":\"International Journal of Decision Support System Technology\",\"volume\":\"45 1\",\"pages\":\"1-20\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Decision Support System Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijdsst.292448\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Decision Support System Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijdsst.292448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
本研究开发了一套基于空气质量参数的确定性决策支持系统,用于评估印度各城市的空气质量。由于涉及许多指标,本研究将城市评估塑造为一个多标准决策问题。为了解决目前的评价问题,提出了一种MCDM方法,即基于距离的方法(Distance based approach, DBA),该方法主要从最优点开始对每个城市进行欧氏距离计算,并根据计算出的距离对城市进行排名。距离值最小的城市排在首位,距离值最大的城市排在最后一位。
Deterministic Decision Support System for the Assessment of Cities Based on Air Quality Indicators: Decision Support System Using DBA
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, 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 on the last position.