A new tool for risk assessment of air pollution: Fuzzy process capability indices

Ihsan Kaya*, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Air pollution has become a high risk priority since theWorldHealthOrganization estimates that 4.6 million people die each year from causes directly attributable to air pollution, which damages people, environments, animals, and other components of natural life. There are many proposals in the literature to measure and control the destructive effects of air pollution. In this article, a methodology based on process capability indices (PCIs), which are very effective statistics that show the process dispersion and skewness to summarize process performance, has been presented for the risk assessment of air pollution. The fuzzy set theory, which provides an advantage for more flexible interpretation of the results of Process Capability Analysis (PCA), is used to obtain more detailed analyses of air pollution. In this article the main air pollution indicators are analyzed and their means and variances are obtained as fuzzy numbers. The specification limit values are considered as fuzzy numbers and then nonconforming percentages are obtained for air pollution indicators. In the application, fuzzy percentages of conforming and nonconforming items for air pollution indicators are calculated for Istanbul.

Original languageEnglish
Pages (from-to)613-630
Number of pages18
JournalHuman and Ecological Risk Assessment (HERA)
Volume17
Issue number3
DOIs
Publication statusPublished - May 2011

Keywords

  • Air pollution
  • And nonconforming items
  • Fuzzy process capability indices
  • Percentage of conforming

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