计算机科学 ›› 2010, Vol. 37 ›› Issue (4): 219-.
• 人工智能 • 上一篇 下一篇
张倩生,蒋盛益
出版日期:
发布日期:
基金资助:
ZHANG Qian-sheng,JIANG Sheng-yi
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摘要: 先提出Vague值间的一种新的相似度,并基于有序加权聚类(OWA)算子给出Vague集间的新的加权相似测度,其中的权重是由决策者根据实际决策需求来确定的,具有一定的弹性;另外通过Vague输入事实与Vague决策规则的前件(或后件)之间的相似匹配度,得到一个简单可行的双向近似推理方法,这可为复杂环境下的系统决策(如工业检测和医疗诊断等领域问题)提供有效的支持工具。
关键词: Vague集,加权相似测度,有序加权聚类(OWA)算子,双向近似推理,Vague决策
Abstract: A similarity degree of vague value was firstly proposed, then a new weighted similarity measure of vague sets was given based on OWA operator, in which the weights were produced according to the requirement of decision maker.Finally, a simple bidirectional vague reasoning method for vague decision system was put forward on the basis of similarity measure between vague fact and the antecedent (or consequent)portion of vague rule. The presented method is very flexible and feasible, which provides a powerful tool for dealing with vague decision making problems in complex enviroment such as industry inspection and medical diagnosis systems.
Key words: Vague set, Weighted similarity measure, OWA operator,Bidirectional approximate reasoning, Vague decision
张倩生,蒋盛益. 基于Value双向近似推理的系统决策方法[J]. 计算机科学, 2010, 37(4): 219-. https://doi.org/
ZHANG Qian-sheng,JIANG Sheng-yi. System Decision Making Method Based on Vague Bidirectional Approximate Reasoning[J]. Computer Science, 2010, 37(4): 219-. https://doi.org/
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