Verification of a Rule-Based Expert System by Using SAL Model Checker

M. U. Siregar, Sayekti Abriani
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Abstract

Verification of a rule-based expert system ensures that the knowledge base of the expert system is logically correct and consistent. Application of verification into a rule-based expert system is one approach to integrate software engineering methodology and knowledge base system. The expert system, which we has built, is a rule-based system developed by using forward chaining method and Dempster-Shafer theory of belief functions or evidence. We use Z language as the modelling language for this expert system and SAL model checker as the verification tool. To be able to use SAL model checker, Z2SAL will translate the Z specification, which models the system. In this paper, we present some parts of our Z specification that represent some parts of our rule-based expert system. We also present some parts of our SAL specification and theorems that we added to this SAL specification. At the last, we present the usage of SAL model checker over these theorems. Based on these model-checking processes, we argue that the results are expected. This means that each of theorems can be model checked and the outputs of those model checking are the same as the outputs that we obtain from manual investigation; either it is VALID or INVALID. Other interpretation of the model check's results is some parts of our rule-based expert system have been verified.
基于规则的专家系统的验证
基于规则的专家系统的验证保证了专家系统知识库在逻辑上的正确性和一致性。将验证应用于基于规则的专家系统是将软件工程方法与知识库系统相结合的一种方法。我们构建的专家系统是一个基于规则的系统,采用前向链方法和信念函数或证据的Dempster-Shafer理论进行开发。我们使用Z语言作为专家系统的建模语言,使用SAL模型检查器作为验证工具。为了能够使用SAL模型检查器,Z2SAL将转换Z规范,该规范对系统进行建模。在本文中,我们展示了Z规范的一些部分,这些部分代表了基于规则的专家系统的一些部分。我们还介绍了我们的SAL规范的一些部分以及我们添加到这个SAL规范中的定理。最后,给出了SAL模型检查器在这些定理上的应用。基于这些模型检查过程,我们认为结果是预期的。这意味着每个定理都可以进行模型检查,并且这些模型检查的输出与我们从人工调查中获得的输出相同;要么是VALID要么是INVALID。对模型检查结果的其他解释是我们基于规则的专家系统的某些部分已经得到验证。
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