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Three methods for generating monotonic OWA operator weights with given orness level 被引量:1
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作者 刘新旺 《Journal of Southeast University(English Edition)》 EI CAS 2004年第3期369-373,共5页
Based on the properties of ordered weighted averaging (OWA) operator and regular increasing monotone (RIM) quantifier, three methods for generating monotonic OWA operator weights are proposed. They are geometric OWA o... Based on the properties of ordered weighted averaging (OWA) operator and regular increasing monotone (RIM) quantifier, three methods for generating monotonic OWA operator weights are proposed. They are geometric OWA operator weights, equidifferent OWA operator weights and the modified RIM quantifier OWA weights. Compared with most of the common OWA methods for generating weights, the methods proposed in this paper are more intuitive and efficient in computation. And as there are more than one solution in most cases, the decision maker can set some initial condition and chooses the appropriate solution in the real decision process, which increases the flexibility of decision making to some extent. All these three OWA methods for generating weights are illustrated by numerical examples. 展开更多
关键词 ordered weighted averaging operator orness measure fuzzy quantifier
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基于LOWGA算子集结的组合语言判断矩阵保持互反性的条件
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作者 王玉兰 陈华友 《合肥学院学报(自然科学版)》 2010年第2期4-9,共6页
语言有序加权几何平均(LOWGA)算子是一种能有效地集结语言数据信息的方法.利用语言判断矩阵的转换函数定义了语言互反判断矩阵,利用LOWGA算子进行集结,同时采用模糊语言量化算子(BUM函数)的方法确定其权向量时,涉及到BUM函数中参数对的... 语言有序加权几何平均(LOWGA)算子是一种能有效地集结语言数据信息的方法.利用语言判断矩阵的转换函数定义了语言互反判断矩阵,利用LOWGA算子进行集结,同时采用模糊语言量化算子(BUM函数)的方法确定其权向量时,涉及到BUM函数中参数对的选择问题.主旨研究了基于LOWGA算子集结组合语言判断矩阵保持互反性的条件. 展开更多
关键词 LOWGA算子 组合语言判断矩阵 模糊语言量化算子
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