지능적인 전략계획체제를 설계하고 구축하기 위한 인공신경망 전문가시스템 접근방법 = A Neural Expert System Approach to Designing and Implementing An Intelligent Strategic Planning System

다국어 초록 (Multilingual Abstract)

This paper presents a neural expert system approach to designing an intelligent strategic planning system. Strategic planning requires a high level of expertise about interpreting the rival's competitive strategies. However, this kind of expertise is very difficult to obtain. In this respect, we propose using a neural expert system for building an intelligent strategic planning system. The main recipe of the proposed neural expert system is a bi-directional inference mechanism which enables us to perform the 'what-if' and/ar 'goal-seeking' analysis. Three strategic planning portfolio models were considered such as BCG matrix, Growth/Gain matrix, GE matrix, and Product/Market Evolution Portfolio matrix. Ta implement our idea, we developed a prototype system on 486--PC. Using the Korean automobile data, we performed massive experiments under the experimentally designed competitive situations. experimental results support our research intention that the neural expert systems approach is useful for performing competitive analyses.