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Safety Occupational Adaptability Model Construction and Evaluation

Author: LiFei
Tutor: LiSen
School: Beijing Jiaotong University
Course: Safety Technology and Engineering
Keywords: Safety Occupational Adaptability Fuzzy Neural Network Competency Model Evaluation Method
CLC: X913.4
Type: Master's thesis
Year: 2011
Downloads: 87
Quote: 0
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Abstract


Related data indicate that human factors of production systems for enterprise security impact is also growing, human error induced by the incident has become its most important sources of accidents . This paper attempts to provide a set of evaluation studies of practical human security approach that can be used for personnel selection , in order to prevent and reduce human errors , improve human-machine interfaces, improve safety management . The main research methods and results are: ( a ) by reviewing the relevant theoretical clear adaptive research in occupational safety capability definition and study. The ability of human resource management theory into the secure career adaptability , ability to learn from model construction and testing methods, proposed to build industry-specific occupational adaptation model of human security methods and processes . And made possible the use of fuzzy mathematics, systems engineering evaluation, intelligent evaluation , statistical analysis and other comprehensive evaluation methods be evaluated . ( 2 ) through literature selected six power companies operating personnel security capabilities indicators , using statistical analysis methods are divided into five levels, and the use of fuzzy neural network method for its evaluation . Input layer is six indicators ; fuzzy layer selected Gaussian function as membership function ( membership function centers and widths randomly determined ) ; rule layer fuzzy membership degree of each calculation ; adopted even by fuzzy operator to operator, output layer is calculated based on the results obtained fuzzy computing fuzzy model output values. Calling Linspace function in Matlab , using distributed evenly spaced manner to generate interpolated six indicators sample 375 , and using the same method to generate sample 100 pairs of trained network for testing. Test results show that we can use the trained network power companies operating personnel for security classification . This is to create a special ability to model human security industry and its evaluation provides a basis for new methods and theories on the computer to achieve fuzzy neural network for electricity companies operating personnel safety level evaluation, will help promote safety disciplines and other disciplines cross- development, but also conducive to the development of safe adaptive research career .

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CLC: > Environmental science, safety science > Safety Science > Safety Science and basic theory > Security Systems > Security systems engineering
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