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首页> 外文期刊>Oriental journal of computer science and technology >Intelligent Fuzzy Analytic Hierarchy Processing Decision Support System - An aid in Expert Analysis of Shoulder and Neck Pain Occupational Risk Factors
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Intelligent Fuzzy Analytic Hierarchy Processing Decision Support System - An aid in Expert Analysis of Shoulder and Neck Pain Occupational Risk Factors

机译：智能模糊层次分析处理决策支持系统-辅助肩颈痛职业危险因素专家分析。

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摘要

This research develops a fuzzy decision support system (FDSS) to evaluate and prioritize the relative importance of the imprecise, uncertain and vague nature of risk factors causing shoulder and neck pain (SNP), an important musculoskeletal disorder and most ubiquitous pain complaint in an occupational environment. The objective involves derivation of mechanical-, physicaland psychosocial-related risk categories using knowledge acquisition implemented by identifying the risk factors through literature analysis, conventional and concept mapping interviews with expert neurologist, orthopaedict, psychologist and physiotherapist. Fuzzy analytic hierarchy process (FAHP) is applied as an evaluation tool to measure the significance of the risk factors. The results indicate that the proposed system supplements SNP diagnosis experts with more precise key decision support information.
机译：这项研究开发了一种模糊决策支持系统（FDSS），用于评估职业中引起肩颈疼痛（SNP），重要的骨骼肌肉疾病和最普遍存在的疼痛症状的危险因素的不精确，不确定和模糊性质的相对重要性，并对其进行优先级排序环境。该目标涉及通过知识获取来获得与机械，身体和心理社会相关的风险类别，该知识获取是通过文献分析，与专家神经科医生，矫形器，心理学家和物理治疗师进行的常规和概念图访谈来识别风险因素而实现的。模糊层次分析法（FAHP）被用作评估风险因素重要性的评估工具。结果表明，该系统为SNP诊断专家提供了更为精确的关键决策支持信息。

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