Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

Abstract

Assessment of and controlling air pollution are urgent global issues where international cooperation is deemed necessary. Although a very relevant data source can be obtained through continuous monitoring of air quality, measuring air pollutant concentrations is quite difficult when compared to other environmental indicators. We mainly have three different aims for the current study: (1) we propose the computation of the interval weights of decision makers (DMs) based on a group multiple criteria decision making (GMCDM) model; (2) we aim to rank the overall preferences of DMs by the possibility concepts; (3) we aim to evaluate the air quality in China using the most recent data based on our proposed method. We consider three monitoring stations, namely Luhu Park, Wanqingsha, and Tianhu, and the data for SO2, NO2, and PM10 are collected for November 2017, 2018, and 2019. The results from our innovative model show that November 2019 had the best air quality. Finally, robustness analyses are also performed to confirm the discriminatory power of the proposed approach.

Foreign Direct Investment Performance Drivers at the Country Level: A Robust Compromise Multi-Criteria Decision-Making Approach

“…There have been a number of studies published in the research area of MCDM models during the recent couple of years, applied to various contexts, including investigating air pollution assessment, evaluating bank performance, selecting supply chain management contracts, and developing supply chain resilience, among others (Hadi-Vencheh et al, 2021;Maredza et al, 2022;Yazdi et al, 2022Yazdi et al, , 2023. More specifically, Hadi-Vencheh et al (2021) proposed a group MCDM model that ranks the overall preference of decision makers (DMs) using the possibility concept. The method proposed overcomes the disadvantage of previous approaches by providing straightforward and practical computations on ranking the alternatives.…”

A Review of Field Measurement Studies on Thermal Comfort, Indoor Air Quality and Virus Risk

“…Under those conditions, it becomes of vital importance to detect and isolate the contaminant source in order to take appropriate measures and ensure the safety of the occupants. The only way to achieve this, is to monitor the IEQ levels in real-time at multiple points and to have in place appropriate intelligent algorithms that can process the sensor data in real time and take the necessart actions through the appropriate decision support systems [115]. Therefore, together with the need for fine-grained real-time field measurement studies, there is also the need to develop more advanced data analytic solutions for sensor placement and contaminant event monitoring like the ones presented in [116][117][118][119][120][121].…”

Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems

“…In Figure 12, we can see the projection-based estimates of the results in Figure 11. In Figure 13, there are the corresponding illumination functions (15).…”

“…Finally, all the factors have to be compared, and a decision should be made about choosing the best variant. To choose one of the options, one can, for example, use the Multiple Criteria Decision-Making methods (see, e.g., [15]).…”