Distance-based Ranking Fuzzy Numbers Approach for measuring air pollution: The Malaysia case

• Main Authors: Ahmad, I. (Author), Bujang, I. (Author), Kedin, K. (Author), Razak, M.I.M (Author), Talib, A.H (Author)
• Format: Article
• Language: English
• Published: WITPress 2013
• Subjects: Air pollution; atmospheric pollution; carbon dioxide; carbon emission; Distance-based Ranking Fuzzy Numbers Approach; economic impact; environmental economics; fuzzy mathematics; government; Gross Domestic Product; IPAT model; Malaysia; manufacturing; numerical model; time series
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 17433541 (ISSN); 9781845647469 (ISBN)
• DOI: 10.2495/SC130581

This article discusses the effects of carbon dioxide emission on the economic environment. The major contribution of this study is by improvising the IPAT's fuzzy dilemma into a better model using the Distance-based Ranking Fuzzy Numbers Approach introduced by Ahmad Syafadhli Abu Bakar, Daud Mohamad, Nor Hashimah Sulaiman (2012). This study is a pioneer study using the Ranking Fuzzy Numbers Approach in modeling air pollution measurement in Malaysia. The time series data collected are from 1970 to 2011 where these data will be used to explain the relationship between carbon emission with the population, gross domestic product (GDP) and the manufacturing industry. All calculation and explanation with regards to economic perceptions are also provided. The forecasted value of carbon dioxide emission can be used to assist the government in future planning and development. © 2013 WIT Press.