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Fuzzy Linguistic Approach for Evaluating Task Complexity in Nuclear Power Plant  

Jung Kwang-Tae (Industrial Design Engineering, Korea University of Technology and Education)
Jung Won-dea (Industrial Design Engineering, Korea University of Technology and Education)
Park Jin-Kyun (Korea Atomic Energy Research Institute)
Publication Information
Journal of the Korean Society of Safety / v.20, no.1, 2005 , pp. 126-132 More about this Journal
Abstract
The purpose of this study is to propose a method to evaluate task complexity using CIFs(Complexity Influencing Factors). We developed a method that CIFs can be used in the evaluation of task complexity using fuzzy linguistic approach. That is, a fuzzy linguistic multi-criteria method to assess task complexity in a specific task situation was proposed. The CIFs luting was assessed in linguistic terms, which are described by fuzzy numbers with triangular and trapezoidal membership function. A fuzzy weighted average algorithm, based on the extension principle, was employed to aggregate these fuzzy numbers. Finally, the method was validated by experimental approach. In the result, it was validated that TCIM(Tink Complexity Index Method) is an efficient method to evaluate task complexity because the correlation coefficient between task performance time and TCI(Task Complexity Index) was 0.699.
Keywords
fuzzy linguistic approach; complexity influencing factors; task complexity index;
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