Improving Air Quality in Communities by Using a Multicriteria Decision-Making Model Based on Big Data: A Critical Review

Abstract

Hsueh -Cheng: Improving air quality in communities by using a multicriteria decision-making model based on big data - -mail: hsueh.sl@msa.hinet.net; tel: +86-9-32-883-292; fax: +86-7-693-9663 Abstract. Information technology has advanced rapidly and has long been used in various fields and industries. The accumulated data are valuable in practical applications related to topics, such as scientific research, commercial development, and policy-making references. Recent global climate anomalies are due to the ongoing reclamation and extensive use of natural resources in the ongoing process of human evolution and development. Demand for industrial development and economic competition among countries have caused high CO 2 emissions, which is becoming a severe problem. Through analyzing relevant big data, people can explore the causes of high CO 2 emissions and propose effective solutions. Factors contributing to high CO 2 emissions not only include the strong dependence on energy and its use in economic, industrial, and commercial development, but families and individuals also contribute to air pollution. To solve this problem, this study investigated topics on public policy issues involving big data, community education effectiveness, and low-interest loans. In addition, this study adopted the Delphi method, analytical hierarchy process, and fuzzy logic theory to establish a multicriteria decision-making model based on big data to evaluate the processes of reducing air pollution in urban areas. Because community education contributes to resolving public policy problems, the proposed MCDM model enables researchers to determine improvements in urban air quality and aids in discerning the effects of community education on the promotion of environmental protection policies. In addition, this study proposed methods involving grants and low-interest financing to enhance improvements.

Construction of carbon-neutral data governance framework in the context of big data

“…With the rapid development of information technology, the accumulated data has practical application value in scientific research, commercial development, decision-making reference, environmental protection, etc. The accumulated data has value in practical applications of scientific research, commercial development, decision-making reference, environmental protection, and other topics [4]. This paper can obtain the development status of carbon accounting, carbon sequestration, and carbon trading by analyzing the relevant big data, which can be used to analyze a large amount of data related to carbon emissions and identify opportunities for organizations to reduce their carbon footprint.…”

A Fuzzy Logic Model for Zone Delineation in a Preservation Area in Brazil

“…From the operational point of view, multi-criteria methods have the ability to adapt to problems on several fronts, which can be described as conflicting interests. Although the multi-criteria evaluation technique does not solve the problem, it can help detail the problem, making the complex situation more transparent for decision makers (Munda et al, 1994;Hsueh and Cheng, 2017).…”