文章基本信息

标题：Competence Sets Expansion Based on the Fuzzy Rough Neural Network
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作者：Junwen FENG
期刊名称：International Business and Management
印刷版ISSN：1923-841X
电子版ISSN：1923-8428
出版年度：2012
卷号：5
期号：2
页码：117-121
DOI：10.3968/j.ibm.1923842820120502.1100
出版社：Canadian Research & Development Center of Sciences and Cultures
摘要：Traditional competence sets analysis focuses on the expansion of the discrete competence sets, and focus on the uncertainty analysis. By means of uncertainty reasoning techniques and principles (probability reasoning, evidential reasoning, fuzzy reasoning, information reasoning, including degree reasoning, etc.), how to study competence expansion under uncertain circumstances, that is one of the issues of competence expansion theory. About competence expansion question under the indefinite situation, papers formerly mainly studied that the enterprise’s obtained competence or actual requisite competence is indefinite, did not solve that both are indefinite, precisely based on this goal, this article studies the enterprise competence expansion process under this kind of situation by using the fuzzy rough neural network method, solves fuzzy market demand and rough technology competence and so on uncertainty influence factors, helps decision-maker to expand enterprise technology competence to the needed technology competence of enterprise technology innovation question satisfaction solution. Key words: Enterprise management decision; Fuzzy rough neural network; Competence sets expansion
关键词：Enterprise management decision;Fuzzy rough neural network;Competence sets expansion