Fuzzy robust process capability indices for risk assessment of air pollution

Ihsan Kaya*, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)529-541
Number of pages13
JournalStochastic Environmental Research and Risk Assessment
Issue number4 SPEC. ISS.
Publication statusPublished - May 2009


  • Air pollution
  • Fuzzy process capability indices
  • Robust process capability indices


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