지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Usually risk assessment is performed for the safety of diverse industries though, many kinds of risks cannot be analyzed effectively by using classical probability models due to lack of experience data and impreciseness of human decision making. For these reasons, fuzzy risk assessment utilizing subjective judgment and experience of skillful experts has been considered as a solution. In this study, to comprehend the relationship between conventional fuzzy theory and human conceptual images on risks, linguistic variables were reviewed with reference to fuzzy membership functions, especially in the Korean language. As interviewees, about a hundred people including students as well as safety engineers voluntarily participated. The research results showed that most people were in favor of adjective expressions decorated with adverbs rather than naive expressions such as "high" or "low", and that directly translated linguistic variables were not appropriate for the Korean people in risk assessment as far. Therefore, with consideration of the selection tendency by the Korean people in linguistic variables, it could be concluded that 5 level expressions would be most favorable for linguistic variables in risk assessments in Korea.
목차
등록된 정보가 없습니다.
참고문헌 (10)
참고문헌 신청
W. H. Heinrich / 1980 / Industrial Accident Prevention / McGraw-Hill
K.T. Grabam / 1980 / A Practical Safety Analysis System for Hazards Contro / J. of Safety Research 12:13~20
W. Karwowski / 1989 / Potential Applications of Fuzzy Sets in Industrial Safety Engineering / Fuzzy Sets and Systems 19(2):105~120
R. L. Solso / 1995 / Cognitive Psychology / Allyn and Bacon
H. M. Hersh / 1976 / A Fuzzy Set Approach to Modifiers and Vagueness in Natural Language / Journal of Experimental Psychology 105(3):254~276
K.T. Grabam / 1980 / A Practical Safety Analysis System for Hazards Contro / J. of Safety Research 12:13~20
W. Karwowski / 1989 / Potential Applications of Fuzzy Sets in Industrial Safety Engineering / Fuzzy Sets and Systems 19(2):105~120
R. L. Solso / 1995 / Cognitive Psychology / Allyn and Bacon
H. M. Hersh / 1976 / A Fuzzy Set Approach to Modifiers and Vagueness in Natural Language / Journal of Experimental Psychology 105(3):254~276
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