Fuzzy Mathematical Models for Predicting and Diagnosing Occupational Diseases of Workers in the Agro-industrial Complex in Contact with Pesticides

R. Al-kasasbeh, N. Korenevskiy, M. Alshamasin, Osama, O., M. Al-Habahbeh, A. Shaqadan, S. Rodionova, S. Filist
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Abstract

Objective is to improving quality of medical care for workers in the agriculture related industries like pesticides by using fuzzy mathematical models implemented by modern information and intellectual technologies. In the course of the research, it was found that from a modelling perspective, the problems of predicting and identifying suitable class is type of poorly defined conditions with intersecting boundaries. Therefore, building hybrid fuzzy decision rules combines clinical experience (natural intelligence) with artificial intelligence, which allows to achieve a new quality in solving complex systemic problems and is innovative.
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农工综合体接触农药工人职业病预测与诊断的模糊数学模型
目的是利用现代信息和智能技术实现的模糊数学模型,提高农药等农业相关行业从业人员的医疗质量。在研究过程中发现,从建模的角度来看,预测和识别合适类别的问题是具有相交边界的定义不清的条件类型。因此,构建混合模糊决策规则将临床经验(自然智能)与人工智能相结合,可以在解决复杂的系统问题上达到新的质量,具有创新性。
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