1) affiliate degree
从属度
1.
This paper studies hybrid multiple attribute decision making problem with real numbers and interval numbers and triangle fuzzy numbers,and an unknown weight information on indexes,and affiliate degree model is put forward,then the multi-objective problem is transformed into single-objective problem,and the ranking of alternatives is expressed by affiliate degree.
研究了指标权重未知,指标值为实数、区间数、三角模糊数三种数据类型同时存在的混合型多属性决策问题,提出了从属度方法,把多目标问题转化为单目标问题,根据从属度大小对各方案进行排序。
2.
This paper discusses uncertain multiple attribute decision making problem with real numbers and interval numbers and triangle fuzzy numbers, and affiliate degree model is put forward, then the multi-objective problem is transformed into single-objective problem, and the ranking of alternatives is expressed by affiliate degree.
本文讨论了属性值为实数、区间数、三角模糊数三种数据类型的混合型多属性决策问题,提出了从属度方法,把多目标问题转化为单目标问题,利用从属度对各方案进行捧序。
2) membership value
从属度值
3) grey subordination degree
灰色从属度
4) best affiliate degree
最优从属度
1.
In this paper ,based on the grey relation theory and the character of multi attribute and multi level in complex systems, synthetic relation degree model and the best affiliate degree model are built up in order to get over the former s limitation.
以灰色关联理论为基础 ,根据复杂系统多指标和多层次的特点 ,分别建立了综合关联度模型和最优从属度模型 ,从宏观上提出了解决复杂系统评估的两种新解法 。
5) fuzzy subordinational grade
模糊从属度
6) data membership
数据从属度
补充资料：从属
①一事物全部包含在另一事物之内：“中学生”与“学生”这两个概念是从属关系。②依附；附属：旧社会，妇女从属于丈夫，无社会地位可言。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条