An expert system using an extended ANDOR graph
The inference engine (IE) is a crucial component of expert systems (ES). As the management environment has become rapidly digitalized with the advent of the Internet, the traditional IE is now facing a severe criticism  i.e., that it cannot effectively provide an agile, knowledge-based decision support suitable for a wide variety of problems. The objective of this paper is to propose a new type of ES called IMIXAO (Integer-Matrix-driven Inference based on an eXtended ANDOR graph), with an integer-matrix-driven IE based on an extended ANDOR graph framework. Traditionally, the ANDOR graph is used for making inferences in the ES area. Theoretical backgrounds of IMIXAO are presented in this paper, focusing on what an extended ANDOR graph is in terms of inference. The experiment conducted in this study, with an illustrative example of dermatological diseases classification, revealed that the proposed IMIXAO can make precise and agile inferences in a complex situation.
expert systems andor graph inference engine dermatology integer matrix