摘要
传统的财务报表分析专家系统运作模式存在过于僵化、缺乏弹性与自我学习能力、产生的结果难以涵盖所有情况等问题,针对以上问题对传统的财务报表分析专家系统进行改进,在知识表达方式上采用框架式以及本体论知识表达法取代传统的规则式知识表达法;知识框架规则采用模糊逻辑表达式,有效处理决策环境中的不确定性;在知识库完整性方面增加了知识库扩充机制。介绍了系统的设计思想和实现机制,对系统进行了绩效评估和知识库评估,验证了在导入模糊逻辑以及本体论后,能够有效地增加系统执行效率,降低知识库建立与维护的复杂度。
The traditional financial statement analyzing expert system has the disadvantages of lacking flexibility, self-learning, domain knowledge presenting and sufficient outputs. Aiming at the above-mentioned problems, improve the traditional financial statement expert system. The frame type and ontology knowledge representation method in knowledge expression is used to replace the traditional roles of knowledge expression method. The fuzzy logical expression is used in knowledge rule framework, effectively dealing with uncertainty in decision-making environment. In the knowledge base completeness add the knowledge base expansion mechanism. Introduce the design thoughts and implementation of the system and evaluate the performance and knowledge base. Results demonstrate the validity of the fuzzy logic and ontology which enhances system efficiency and reduces development and maintenance complexity.
出处
《计算机技术与发展》
2013年第8期185-189,共5页
Computer Technology and Development
基金
安徽省高等学校省级自然科学研究项目(KJ2012B001)
关键词
财务报表
专家系统
知识库
框架式知识表达法
本体论知识表达法
financial statement
expert system
knowledge base
frame-based knowledge representation
ontology-based knowledge repre-sentation
