DocumentCode :
2124178
Title :
Computational intelligence with fuzzy logic for complex systems
Author :
Singh, Jasvir
Author_Institution :
Dept. of Electron. Technol., Guru Nanak Dev Univ., Amritsar, India
fYear :
2001
fDate :
2001
Firstpage :
99
Lastpage :
105
Abstract :
Fuzzy logic is an innovative technology that enhances conventional system design with engineering expertise. The working of fuzzy logic becomes clear if one focuses on the working of present day computers. The working of present day computers is based on simple binary logic. Boolean logic is good for computing, but it does not work for imprecise values, since these computers normally solve problems by breaking them down into a series of binary decisions. Fuzzy logic allows the computers to assign numerical values that fall between "ones" and "zeroes", there is no clear border line between these values. Instead of statement being only true or false, fuzzy theory sets up condition as slow, medium, and fast. This paper deals with the state of art of fuzzy logic and with its advantages
Keywords :
artificial intelligence; fuzzy logic; fuzzy set theory; Boolean logic; artificial intelligence; binary logic; computational intelligence; fuzzy logic design; fuzzy set theory; imprecise values; reasoning; Computational intelligence; Design engineering; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Sensor phenomena and characterization; Set theory; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Communication Technologies, 2001. SIBCOM-2001. The IEEE-Siberian Workshop of Students and Young Researchers
Conference_Location :
Tomsk
Print_ISBN :
0-7803-6611-5
Type :
conf
DOI :
10.1109/SIBCOM.2001.977533
Filename :
977533
Link To Document :
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