灰色推理技术及其智能应用研究

Research on Grey Reasoning and Its Intelligent Applications

处理不确定性问题的能力已成为系统智能化水平高低的重要评价依据。本文提出了人工智能基于灰色信息的推理模型,该模型除进行符号模式匹配外,还进行灰色计算,是对模糊逻辑推理和Cantor集合理论的扩展;通过对软件质量因子的灰色关联分析,给出了软件质量评价的灰色计算模型;介绍了软件质量智能化灰色评价系统(SQIGES)的基本结构及灰推理机的基本原理;得出了四个软件系统的质量评价结果。

The ability to deal with uncertain problems has already become an important basis to evaluate intelligent systems. A reasoning model based on the grey information of artificial intelligence is put forward. The model performs grey calculations besides symbolic pattern matching , and it is the expansion of fuzzy logic reasoning and the Cantor set theory. Through a grey relevance analysis of the software quality factors, it gives the grey calculation model of software quality evaluation, introduces the basic structure of the software quality intelligent grey evaluation system （SQIGES） and the fundamental principle of grey reasoning machines, and concludes the quality evaluation results of four software systems.