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A modified common weight model for maximum discrimination in technology selection

机译:改进的通用权重模型,可最大程度地区分技术选择

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This paper provides a modification of a recently developed common weight model for technology selection. The discrimination power of the existing model depends on a discriminating parameter. Although larger values of this parameter can give more discrimination, it should also be small enough to guarantee the existence of at least one efficient DMU. Hence, different values of this parameter should be examined to determine the proper value. In the model proposed here, the largest possible value of the parameter is utilised to maximise the discrimination power, and the existence of an efficient DMU is guaranteed by adding a few constraints. In addition, the paper presents comments on existing models, and the properties and the advantages of the model are explained. The contents of the paper are illustrated by several numerical examples.
机译:本文对最近开发的用于技术选择的通用权重模型进行了修改。现有模型的判别力取决于判别参数。尽管此参数的较大值可以提供更多的区别,但也应足够小以保证至少存在一个有效的DMU。因此,应检查该参数的不同值以确定适当的值。在这里提出的模型中,利用参数的最大可能值来最大化判别能力,并且通过添加一些约束条件来保证有效DMU的存在。此外,本文对现有模型进行了评论,并解释了模型的性质和优点。本文的内容通过几个数字示例进行说明。

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