农业工程学报2012，Vol.28Issue(17)：172-178,7.DOI:10.3969/j.issn.1002-6819.2012.17.025
融合粗糙集和证据理论的温室环境控制推理决策方法
Decision-making method based on rough set and evidential theory for greenhouse environmental control
摘要
Abstract
Aiming at the requirements of expert decision-making for greenhouse environmental control, an inference method based on rough set and evidential theory was proposed. The decision-making model includes continuous variables discretization, formation of expert decision-making table, attribute reduction and evidence combination. The decision-making model was established by four steps. Firstly, discrete the consecutive environment index data through fuzzy C means clustering method. Secondly, optimize decision table by using attribute reduction algorithm based on information entropy, so that to eliminate the redundancies of expert knowledge. Thirdly, introduce the theory of evidence to process the optimized index. Finally, judge an appropriate greenhouse control method according to basic probability distribution decision. The case study indicates that decision making method can greatly enhance the reliability of decision-making and reduce its inference uncertainty, which has an important significance to the application in greenhouse environmental control.关键词
温室/环境工程/决策/粗糙集/证据理论/模糊C均值聚类Key words
greenhouses/ environmental engineering/ decision making/ rough set/ evidential theory/ fuzzy C means clustering分类
农业科技引用本文复制引用
王俊,刘刚..融合粗糙集和证据理论的温室环境控制推理决策方法[J].农业工程学报,2012,28(17):172-178,7.基金项目
国家高技术研究发展计划项目(2011AA100704). （2011AA100704）
