Neuro-Fuzzy-Regression Expert System for AGV Optimal Path

According to Turban and Aronson (1998), a decision support system (DSS) is a computer-based information system combining models and data in an attempt to solve non-structured problems with extensive user involvement. They advocated that an expert system (ES) was a computer system that applied reasoning methodologies on knowledge to render advice or recommendations much like a human expert. When expert system technology was first applied to decision-making problems, it fell short in several respects. Early expert systems were rule-based and thus were not capable of handling the classical DSS functions being more computational than logical. Recently, artificial intelligence researchers have noted the necessity for using statistical techniques to build intelligent decision support systems (Nolan, 1998; Weiss and Kulikowski, 1991). Examples of such statistical techniques include fuzzy logic, neural networks, rule induction and various Bayesian techniques. Turban and Aronson (1998) believe that although uncertainty is widespread in the real world, but practical treatment in artificial intelligence is very limited.