Title :
Fuzzy Ranking Methodology for Risk Assessment of Potential Pollution Accidents in Chemical Plants
Author :
Ma Zhongqiang ; Sylla, L. ; Xiong Deqi ; Zhang Xingbiao
Author_Institution :
Coll. of Environ. Sci. & Eng., Dalian Maritime Univ., Dalian, China
Abstract :
The risk level of potential environmental pollution accidents in a chemical plant is determined by a number of criteria, and the risk assessment and ranking of potential accidents among a limited number of chemical plants is a multi-criteria process in which the fuzziness and relativity should be considered. So the paper proposed a fuzzy ranking methodology for risk assessment, which does not calculate the definite risk index for each plant being assessed as the Comprehensive Index Method, but attempts to get their relative membership grades belonging to the fuzzy set on "risking" instead, and the results are more reliable. Furthermore, the methodology is applied to the risk assessment of potential accidents among four important local chemical plants as a case study, and the results are more reasonable than those assessed by means of the regular Comprehensive Index Method.
Keywords :
chemical industry; fuzzy set theory; industrial accidents; industrial plants; industrial pollution; risk analysis; chemical plants; comprehensive index method; definite risk index; fuzziness; fuzzy ranking methodology; fuzzy set; multicriteria process; potential environmental pollution accidents; potential pollution accidents; risk assessment; Accidents; Chemical engineering; Chemical hazards; Chemical processes; Chemical products; Environmental management; Fuzzy sets; Instruments; Pollution; Risk management;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5518075