%0 Journal Article
%T Membership Transforming Algorithm in Multi-index Decision and Its Application
多指标决策中隶属度转换算法及其应用
%A LIU Kai-Di PANG Yan-Jun LI Wen-Guo Institute of Uncertainty Mathematics
%A Hebei University of Engineering
%A H
%A an
%A
刘开第
%A 庞彦军
%A 栗文国
%J 自动化学报
%D 2009
%I
%X Membership transformation has many practical applications. Existing membership transforming algorithms have some essential problems. For example, they cannot show which parts in the index membership are useful for the objective classification or which parts are of no use. Therefore, the redundant data in the index membership that do not contribute to objective classification are also used to calculate the objective membership. To overcome this problem, we design a kind of filter from the viewpoint of objective classification to identify and remove those redundant index memberships as well as the redundant data in the index membership, and extract the ``available values' for the objective classification. A general transforming algorithm from index membership to the objective membership can be obtained. An application example is introduced to illustrate the transforming process.
%K Multi-index decision
%K distinguish weight
%K available value
%K comparable value
%K membership transformation
多指标决策
%K 区分权
%K 有效值
%K 可比值
%K 隶属度转换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=1833C2FA8C89B02316593D46CD3ED9E6&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=0C3F9E980968AF79&eid=160561E9A96393DE&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=0