基于案例推理的企业财务危机智能预警支持系统研究  

Intelligent Early-Warning Support System for Enterprise Financial Crisis Based on Case-Based Reasoning

作　　者：黄继鸿[1] 姚武[1] 雷战波[1] 

机构地区：[1]西安交通大学管理学院,陕西西安710049

出　　处：《系统工程理论与实践》2003年第12期46-52,共7页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(79970012)

摘　　要：　案例推理定一ES的重点推理技术引入智能化预警支持系统中,不仅对企业财务危机进行定量预警,而且根据专家知识经验对企业内外部环境进行定性预警,将两者结合起来达到综合预警的目的.此外,在CBR-IEWSS本文将遗传算法应用于案例推理中,提高了案例检索的速度和质量,最后给出了该系统的框架.Case\|based reasoning (CBR) is an important reasoning technique of expert system. In this paper, we introduce CBR to intelligent early\|warning support system, which could warn quantitatively for enterprise financial crisis and could warn qualitatively by expert's knowledge and experience。Furthermore, genetic algorithm is applied to case\|based reasoning in CBR\|IEWSS, which improves accuracy and efficiency of case retrieval. Last, the structure of CBR\|IEWSS is given.

关 键 词：企业财务 财务危机 智能预警支持系统 案例推理 人工神经网络 

分 类 号：F275[经济管理—企业管理] TP183[经济管理—国民经济]