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Articles by M. Pariazar
Total Records ( 2 ) for M. Pariazar
  M. Pariazar , J. Shahrabi , M.S. Zaeri and Sh. Parhizi
  In this research, a methodology was proposed to select optimum maintenance strategy. The study suggested a methodology which applied various steps. This research considered developing a list of criteria with the recognition of patterns amongst those criteria. Having developed the hierarchy structure, then the paper illustrates the use of an AHP improved by Rough set to eliminate the inconsistency commonly existing in the AHP method. A case study is used to demonstrate the application of the various steps of the proposed methodology.
  Sh. Parhizi , J. Shahrabi and M. Pariazar
  In this study some data mining techniques for accident investigation and risk analysis is proposed. Function of most of accident investigation and risk analysis methodologies have been based on establishment of different scenarios of accident occurrence and simulation of accidents situation and so far no fundamental action for the analysis of remained data from accident has taken place. This study with the approach of data analysis and using different techniques of data mining can eliminate deficiencies of other techniques therewith covers theirs advantages. In this study factor analysis utilized to identify effective factors on occurrence of accidents. Cluster analysis utilized to classify accidents. A case study in a petrochemical company has been done in order to execute and investigate proposed methodology. The results show four different factors effecting on accident`s occurrence and ten different clusters of accidents recognized. Also association rules exposed to discover all patterns and rules that cause occurrence of accidents.
 
 
 
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