eCite Digital Repository

An expert system for fish disease tele-diagnosis based on 3I fuzzy reasoning mechanism


Yuan, H and Xie, L and Chen, M and He, Q and Chen, Y, An expert system for fish disease tele-diagnosis based on 3I fuzzy reasoning mechanism, Proceedings of the 7th World Congress on Intelligent Control and Automation, 25-27 June 2008, Chongqing, China, pp. 2121-2125. ISBN 978-1-4244-2114-5 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 IEEE

DOI: doi:10.1109/WCICA.2008.4593251


Fuzzy reasoning in expert systems is a recurrent issue on which little research has been done or reported. This paper proposes a fuzzy reasoning model of characteristic expansion based on 3I method which can be applied to describe and process the fuzziness of diagnosed symptoms of fish diseases. This strategy to code the model of fuzzy reasoning in the knowledge base rather than the inference engine largely increases the flexibility of reasoning. This is also the first research that combines an expert system and the fuzzy technology for fish disease diagnosis. An expert system for fish disease tele-diagnosis has been implemented using XF6.2, an expert system development tool.

Item Details

Item Type:Refereed Conference Paper
Keywords:expert system, fish disease diagnosis, 3I fuzzy reasoning, XF6.2
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Artificial intelligence not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Chen, Y (Ms Ying Chen)
ID Code:55783
Year Published:2008
Web of Science® Times Cited:1
Deposited By:Information and Communication Technology
Deposited On:2009-03-13
Last Modified:2012-12-11

Repository Staff Only: item control page