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Fuzzy robust process capability indices for risk assessment of air pollution

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Abstract

Air pollution is one of the most important threats for the humanity. It can damage not only human health but also Earth’s ecosystem. Because of the harmful effects of air pollution, it should be controlled very carefully. To do the risk assessment of air pollution in Istanbul, the process capability indices (PCIs) which are very effective statistics to summarize the performance of process are used in this paper. Fuzzy PCIs are used to determine the levels of the air pollutants which are measured in different nine stations in Istanbul. Robust PCIs (RPCIs) are used when air pollutants have correlation. Fuzzy set theory has been applied for both PCIs and RPCIs to have more sensitive results. More flexible PCIs obtained by using fuzzy specification limits and fuzzy standard deviation are used to evaluate the air pollution’s level of Istanbul. Additionally some evaluation criteria have been constructed for fuzzy PCIs to interpret the air pollution.

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Authors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University Management Faculty, 34367, Maçka, Istanbul, Turkey

    Ihsan Kaya & Cengiz Kahraman

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  1. Ihsan Kaya
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  2. Cengiz Kahraman
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Correspondence to Ihsan Kaya.

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Kaya, I., Kahraman, C. Fuzzy robust process capability indices for risk assessment of air pollution. Stoch Environ Res Risk Assess 23, 529–541 (2009). https://doi.org/10.1007/s00477-008-0238-2

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