Types of Expert System: Comparative Study
Keywords:
rule base expert system, fuzzy expert system, frame based expert system, neural expert system, neuro-fuzzy expert systemAbstract
The paper describes the different classifications of expert systems. There are mainly five types of expert systems. They are rule based expert system, frame based expert system, fuzzy expert system, neural expert system and neuro-fuzzy expert system. We discussed the expert systems based on their knowledge representation, inference engine, working of the system and user interface. At the end, we provided comparative study of above five types of expert systems based on different parameters. We can say that choice of an expert system depends on the domain requirements.
Â
References
Altock, V. (1997). Fuzzy logic and neurofuzzy applications in business and finance. New Jursey: Prentice hall.
Assilian, E. M. (1975). An experiment in linguistic synthesis with a fuzzy logic controlle. International journal of man-machine studies, 1-13.
Chakraborty, R. C. (2010, jun 1). artificial_intelligence.html. Retrieved 1 17, 2014, from myreaders.info: myreaders.info/artificial_intelligence.html
Durkin, J. (1994). Expert system desing and development. New jersy: Prentice Hall, Englewood Cliffs.
Minsky, M. (1975). A framework for representing knowledge. The psycology of computer vision, 211-277.
Negnevitsky, M. (2008). Artifical Intelligence. Pearson Education.
Zadeh, L. (1965). Fuzzy sets, information and control. Information science, 338-353.
Downloads
Published
Issue
Section
License
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.