一种基于未知度的区间值加权模糊推理方法  

New Mothed of Weighted Interval Reansoning Based on Hesitancy Degree

作　　者：刘长彬[1] 李龙[1] 王涛[1] 

机构地区：[1]辽宁工业大学数理科学系,辽宁锦州121001

出　　处：《辽宁工业大学学报（自然科学版）》2010年第1期64-67,共4页Journal of Liaoning University of Technology(Natural Science Edition)

基　　金：辽宁省教育厅(重点实验室)项目(20060395)

摘　　要：基于Vague集未知度给出一种新的区间值加权模糊推理方法,将精确量的推理规则区间值模糊化,并给出加权的基于Vague集未知度的相似度量方法,用以确定事实为区间值的模糊控制匹配函数,通过实例分析表明,该推理方法过程比较简单,具有较好的实用价值。The weighted interval reansoning method was presented based on hesitancy degree between vague sets. The inference rules of volume were interval-valued fuzzedly. In addition, the weighted similarity measurement was given based on Vague sets with hesitancy degree so that the matched function of fuzzy control with interval facts was determined. Example analyses expatiated that this reasoning process was simplified, and was valued to have better application.

关 键 词：VAGUE集 精确量区间值化 匹配函数 加权模糊推理 

分 类 号：O159[理学—数学]