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  • 标题:Zadeh-Deshpande Approach for Fuzzy Description of Air and Water Quality
  • 本地全文:下载
  • 作者:Ashok Deshpande ; Jyoti Yadav ; Vilas Kharat
  • 期刊名称:BVICAM's International Journal of Information Technology
  • 印刷版ISSN:0973-5658
  • 出版年度:2014
  • 卷号:6
  • 期号:1
  • 语种:English
  • 出版社:Bharati Vidyapeeth's Institute of Computer Applications and Management
  • 摘要:Ever increasing pollution levels due to rapid urbanization and industrialization, especially in many developing countries with minimal focus on adequate pollution abatement strategies, has resulted in impairing the natural environment such as river, air, land, and alike. It is, therefore, important to classify the environmental quality. The practice in vogue for classifying air or water quality for variety of usage is by computing Air Quality Index (AQI) or Water Quality Index (WQI). Why compute a numeric AQI or WQI, and then describe air/ water quality linguistically? Human brain does not compute any numbers. Why not describe air or water quality, for the defined usage, straightway in linguistic terms with some linguistic degree of certainty attached to each linguistic description? In this paper, we present two need based research studies. The first case study refers to fuzzy air quality description in Pimpri-Chinchwad Municipal Corporation (PCMC) monitoring location, while the other relates to linguistic classification of water quality with degree of certainty in PCMC area, India,
  • 关键词:Index Terms – Air quality;water quality;uncertainty; Linguistic term;degree of match;fuzzy logic;fuzzy rule base system;degree of certainty
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