Abstract
This chapter describes the elements and applications of expert systems. These systems can be thought of as one of the fields of application of artificial intelligence. Expert systems are systems that imitate the ways that the knowledge of such systems is expressed and used; methods for effectively constructing expert systems must accurately incorporate the ways in which experts perform. The ways that experts do things involves the manner in which they bring together knowledge and their way of thinking, and this in its turn is nothing other than the way human beings think. The manner in which experts think can be said to be thinking that involves collection and management of knowledge for the solving of specific problems but can be seen as a miniature of human thinking and humans in general. There are few examples of fuzzy expert systems outside of control, but there are reports of fault analysis systems for locomotives and restaurant menu selection systems. Expert systems that do not make use of fuzzy theory are the main current, but of the almost 2000 expert systems reported, only about 2% are actually being used.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
