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ONSD-551 car mechanic repair center". The paper presents a health assessment system for mine human resources based on fuzzy comprehensive assessment. For a given mine, if its human resources can be classified into m health groups following k indicators, the evaluation matrix was obtained. Reference value rules and confidence rules were proposed to measure the proportion of health groups in the overall human resources, which serve as auxiliary indicators for the evaluation matrix. Considering the uncertainty in the assessment process, the assessment matrix was divided into a deterministic part and a random part. A balanced weighting method applying the AHP was proposed to calculate the weight of the evaluation matrix. Through simulation and case studies, it was shown that the predictive capability of the proposed assessment system was in better accordance with a basic requirement than the traditional methods. The paper presents health assessment data optimization for mine human resources based fuzzy comprehensive assessment. The traditional assessment method, which uses the reference value, was transformed into a fuzzy assessment method. The reference value was converted into a statistic, and the arithmetic method was used to extend the reference value rules in the optimization process. The parameters of the evaluation matrix were redefined in the optimization process, and the validity of the results of fuzzy comprehensive assessment was verified. A case study on the health assessment of mine human resources showed that the traditional method tends to consist of overestimation, while the fuzzy comprehensive assessment method was in better accordance with a basic requirement. The use of fuzzy comprehensive assessment data optimization pross in mines hazards can be identified, uniformed, and turned into a potential problem for better regulation in hazardous materials. The paper presents health assessment system for mine human resources based on fuzzy comprehensive assessment. This assessment system involves both collective fitness function for the health indicators and individual fitness function for the health indicators. The parameters of the evaluation matrix were redefined in the optimization process, and the validity of the results of fuzzy comprehensive assessment was verified using a case study on the health assessment of mine human resources. The results which were obtained using fuzzy comprehensive assessment data optimization better matched up with the actual conditions in primary knots and deviations than the results which were obtained using the traditional method. The paper presents the primary step in creating a more efficient health assessment systems for mine health resources

6 Okt 2011

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