方案有类别偏好的多粒度语言灰靶决策方法

Multi-granularity Linguistic Grey Target Decision Method in Categories for Preference

研究了方案有类别偏好的不同粒度语言信息决策方法。基于不同粒度语言的距离转换函数方法,将其转换成标准语言距离;针对不完全的属性权重信息,通过灰靶决策的原理表征方案的综合靶心距;基于案例学习的思想,建立了考虑方案有多种类别偏好的属性权重确定模型。算例表明了方法有效性。

This paper researches on multi-granularity linguistic decision method in categories for preference .On the base of multi-granularity linguistic distance transform function , it converts information into a standard language distance .According to incomplete information on attribute weights , it represents the comprehensive off-target distance in the scheme through the principle of grey target decision .Based on the idea of case study , it builds the attribute weights determination model by considering different categories for preference .An example shows that the method is effective .