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

Autor:	K. Kedin, Ismail Ahmad, Adi Hakim Talib, Imbarine Bujang, Mohamad Idham Md Razak
Rok vydání:	2013
Předmět:	education.field_of_study Operations research business.industry Population Air pollution medicine.disease_cause Fuzzy logic Gross domestic product Dilemma Geography Manufacturing Value (economics) medicine Time series business education
Zdroj:	WIT Transactions on Ecology and The Environment.
ISSN:	1743-3541 1746-448X
DOI:	10.2495/sc130581
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::474c1a4c9bc87901fa5b886bad7a5ea6 https://doi.org/10.2495/sc130581 Zobrazit plný text záznamu