作者: G.S. Beriha , B. Patnaik , S.S. Mahapatra , S. Padhee
DOI: 10.1016/J.ESWA.2011.09.018
关键词: Fuzzy logic 、 Computer science 、 Injury prevention 、 Poison control 、 Fuzzy set 、 Computer security 、 Occupational safety and health 、 Expert system 、 Risk analysis (engineering) 、 Inference engine 、 Investment (macroeconomics)
摘要: This paper presents an artificial intelligence approach for prediction of different types accidents (fatal to minor) in uncertain environment. Likelihood occurrence the work place is a random phenomenon but judicious investment various attribute such as expenses health care, safety training, up-gradation tools and machinery, on equipment may lead reduction accident rate. The relationship between type difficult establish because they do not follow any predictable rule rather associate non-linear manner. In situation, fuzzy logic helps map inputs outputs efficient manner building inference engine so that can be predicted. Prediction managers formulate organizational policies improving performance.