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Fuzzy description of air quality using fuzzy inference system with degree of match via computing with words: a case study

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Abstract

Establishing cause–effect relationship between inhaling polluted air due to toxic auto exhaust releases and incidence of pulmonary diseases is not a trivial task. In this endeavor, epidemiological studies with air pollution parametric data have been attempted in the past using statistical technique. Earlier studies of the authors of this paper inferred that the combined belief for respiratory diseases is 0.65 for either simple bronchitis and chronic obstructive pulmonary disease or asthma or allergic rhinitis coupled with conjunctivitis (Yadav et al., Int J Intell Syst 22:9–22, 2013). The sequel demonstrates the application of the computational formalism of fuzzy inference system with a degree of match concept—a level 1 complexity in computing with words for classifying air quality straightway in linguistic term with a linguistic degree of certainty attached to each description. The exhaustive case study relates to classifying air quality in 14 cities with a total of 51 monitoring locations in Maharashtra State, India. It could be stated that straightway describing air quality in linguistic term based on the new formalism is in agreement with the linguistic classification via conventional air quality index method. The study also concludes that the variability in experts’ perception on describing air quality varies from 80 to 98 %.

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Acknowledgments

The authors are grateful to Prashant Gargav, Suresh Jain, G. Beig, Rakesh Kumar, and Shiva Nagendra for their valuable inputs at every stage of this paper. We are also grateful to anonymous reviewers for a number of thoughtful review comments.

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Authors and Affiliations

  1. Department of Computer Science, University of Pune, Pune, India

    Jyoti Yadav & Vilas Kharat

  2. Berkeley Initiative in Soft Computing (BISC)–Special Interest Group (SIG)–Environment Management Systems (EMS), Berkeley, CA, USA

    Ashok Deshpande

Authors
  1. Jyoti Yadav
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  2. Vilas Kharat
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  3. Ashok Deshpande
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Correspondence to Ashok Deshpande.

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Yadav, J., Kharat, V. & Deshpande, A. Fuzzy description of air quality using fuzzy inference system with degree of match via computing with words: a case study. Air Qual Atmos Health 7, 325–334 (2014). https://doi.org/10.1007/s11869-014-0239-x

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  • DOI: https://doi.org/10.1007/s11869-014-0239-x

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