四川大学学报（自然科学版）
四川大學學報（自然科學版）
사천대학학보（자연과학판）
JOURNAL OF SICHUAN UNIVERSITY（NATURAL SCIENCE EDITION）
2008年
1期
43-47
,共5页
模糊认知图%WOWA算子%与或关系%模糊规则
模糊認知圖%WOWA算子%與或關繫%模糊規則
모호인지도%WOWA산자%여혹관계%모호규칙
fuzzy cognitive map%WOWA operator%AND/OR relationship%fuzzy rule
现有模糊认知图(Fuzzy Congnitive Map, FCM)模型忽略了原因节点间与或组合关系的不确定性.针对这一缺陷,作者通过引入加权的有序加权平均( Weighted Ordered Weighted Averaging, WOWA)算子来模拟原因节点间确定的或模糊的与或关系,提出了基于WOWA集结算子的模糊认知图框架.为增强传统FCM的因果认知性能,作者在此新的框架下,利用单前件模糊规则拓展数值型FCM的因果模糊测度,提出了一种混合模糊认知图模型.
現有模糊認知圖(Fuzzy Congnitive Map, FCM)模型忽略瞭原因節點間與或組閤關繫的不確定性.針對這一缺陷,作者通過引入加權的有序加權平均( Weighted Ordered Weighted Averaging, WOWA)算子來模擬原因節點間確定的或模糊的與或關繫,提齣瞭基于WOWA集結算子的模糊認知圖框架.為增彊傳統FCM的因果認知性能,作者在此新的框架下,利用單前件模糊規則拓展數值型FCM的因果模糊測度,提齣瞭一種混閤模糊認知圖模型.
현유모호인지도(Fuzzy Congnitive Map, FCM)모형홀략료원인절점간여혹조합관계적불학정성.침대저일결함,작자통과인입가권적유서가권평균( Weighted Ordered Weighted Averaging, WOWA)산자래모의원인절점간학정적혹모호적여혹관계,제출료기우WOWA집결산자적모호인지도광가.위증강전통FCM적인과인지성능,작자재차신적광가하,이용단전건모호규칙탁전수치형FCM적인과모호측도,제출료일충혼합모호인지도모형.
The uncertainties of AND/OR combinations among the cause nodes are neglected in the existing Fuzzy Cognitive Maps (FCMs). To eliminate this common drawback, a novel framework for FCMs is proposed by introducing Weighted Ordered Weighted Averaging (WOWA) operators to simulate the certain or fuzzy AND/OR relationships among the antecedent nodes. To enhance the causal cognition of numeric FCMs and overcome the disadvantages of linguistic FCMs, a hybrid fuzzy cognitive model based on single-antecedent fuzzy rules is proposed under the framework of WOWA aggregation.
