文献类型    学术论文

标    题      A NEURAL EXPERT SYSTEM WITH GOAL SEEKING FUNCTIONS FOR STRATEGIC PLANNING

著    者      Jae Ho Han

机    构      Pukyong National University

主 题 词    PROTOTYPE; strategic planning; kinds; inference; desired; Backward; Expert Systems; OR/MS; BCG matrix; product/market; Korean automobile; NEURAL EXPERT; portfolio models; Growth/Gain; GE matrix; Evolution Portfolio matrix

集 合 名    Academy of Information and Management Sciences Journal

年             2004

卷             7

期             2

文件大小    362.58 KB

描    述      This paper presents a neural expert system approach to designing an intelligent strategic planning system. The main recipe of the proposed neural expert system is an inference mechanism capable of performing backwards. Four strategic planning portfolio models are considered: BCG matrix, Growth/Gain matrix, GE matrix, and Product/Market Evolution Portfolio matrix.

全文链接：MANAa05899_2516290