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Intelligent Decision Support Systems of Medicinal Forest Plants for Skin Disease

机译:皮肤病药用林植物智能决策支持系统

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The richness of Borneo’s biodiversity with the potential for indigenous tribal knowledge, one of which is using various types of medicinal plants used in traditional local ethnic medicine, especially those around forest areas. This study aims to develop Borneo’s medicinal forest plants decision-making system for skin diseases based on the International Classification of Diseases (ICD-10 version 2016). The determination of medicinal plants for the treatment of skin diseases is based on criteria types of plant species, how to process, how to use, and plant parts used. This research resulted in a decision support system intelligence software product for determining of 94 dataset medicinal forest plants for skin diseases using the AHP method for weight determination (priority), and WASPAS for preference. The implementation of the AHP-WASPAS method in case studies of medicinal forest plants decision shows that the user’s subjectivity in weighting and decision-making criteria affects the recommended preference values. Furthermore, the multi-criteria analysis method approach to decision making in applied case studies is less objective because the knowledge base of alternatives and criteria is complex.
机译:婆罗洲生物多样性的丰富性与土着部落知识的潜力,其中一个是在传统当地民族医学中使用的各种药用植物,特别是森林地区周围的各类药用植物。本研究旨在基于国际疾病的国际分类,开发婆罗洲的药用森林植物决策系统(ICD-10 2016年)。用于治疗皮肤病的药用植物的测定是基于植物种类的标准类型,如何处理,如何使用以及使用的植物部件。这项研究导致了一种决策支持系统智能软件产品,用于使用AHP方法确定皮肤病94个数据集药用林植物,用于使用AHP方法进行体重测定(优先权)和WASPAS偏好。在药用林业植物判例的情况下,实施AHP-WASPA方法的实施表明,用户在加权和决策标准中的主观性影响推荐的偏好值。此外,应用案例研究中决策的多标准分析方法方法较少,因为替代品的知识库和标准是复杂的。

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