DocumentCode :
3108459
Title :
Enhancing computer science courses with fuzzy set theory
Author :
Cross, Valerie V.
Author_Institution :
Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
fYear :
1998
fDate :
20-21 Aug 1998
Firstpage :
130
Lastpage :
134
Abstract :
Due to the success of fuzzy set theory in the design of nonlinear control systems, its introduction to undergraduate engineering students has become more and more widespread. However, in undergraduate computer science programs, the exposure to fuzzy set theory is very minimal or nonexistent. Computer science and information systems programs need to begin to address this issue since the use of fuzzy set theory is becoming increasingly important in advanced information systems. This paper presents an overview of an approach to the integration of fuzzy set theory into computer science courses centered on information or knowledge-based systems and also a non-major liberal education course
Keywords :
computer science education; educational courses; fuzzy set theory; information systems; knowledge based systems; computer science courses; fuzzy set theory; information systems; knowledge-based systems; liberal education course; nonlinear control systems; undergraduate computer science education; undergraduate engineering students; Application software; Artificial intelligence; Computer science; Database systems; Expert systems; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Information systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
Type :
conf
DOI :
10.1109/NAFIPS.1998.715550
Filename :
715550
Link To Document :
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