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Fuzzy decision support system for evaluation and prioritisation of critical success factors for the development of agricultural DSS

机译:农业决策支持系统发展关键成功因素评估和优先排序的模糊决策支持系统

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Overwhelmingly, surveys of agricultural DSSs (agDSSs) have revealed a general lack of support which could influence actual practice. Reasons behind DSS rejection were multiple. Accordingly, various strategies and approaches were proposed for their uptake. But developers often use their own criteria, priorities, and strategies during various developmental phases, mainly due to complex and vague nature of interactions between multiple factors describing DSS vis-a-vis, non-availability of critical success factors and their characterisation. Multiple-criteria decision making (MCDM) methods are widely used under these circumstances to facilitate systematic and lucid decision support, chalk out multiple decision outcomes and equip decision maker with confident decision choices to lead the process to its coherent ending. This research proposes a fuzzy decision support system to evaluate and prioritise critical success factors for the development of agricultural DSSs and provides an estimate of weightings, which measure the relative importance of these factors under generic multi-criteria settings. The results envisage that the proposed system supplements agDSS developers with more precise key decision support information.
机译:绝大多数情况下,对农业DSS(agDSS)的调查表明普遍缺乏支持,这可能会影响实际做法。拒绝DSS的原因很多。因此,提出了各种策略和方法来吸收它们。但是,开发人员经常在各个开发阶段使用自己的标准,优先级和策略,这主要是由于描述DSS的多个因素之间相互影响的复杂性和模糊性,无法获得关键成功因素及其特征。在这种情况下,多准则决策(MCDM)方法被广泛使用,以促进系统和清晰的决策支持,制定出多个决策结果,并为决策者提供充满信心的决策选择,以使流程达到一致的结局。这项研究提出了一种模糊决策支持系统,用于评估和确定农业DSS发展的关键成功因素,并对其进行优先级排序,并提供权重估计,以衡量在通用多标准设置下这些因素的相对重要性。结果表明,提出的系统为agDSS开发人员提供了更为精确的关键决策支持信息。

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