Title :
Singular value decomposition of linguistic symbol-array
Author :
Baranyi, Péter ; Yam, Yeung ; Yang, Chi-Tin ; Kóczy, László T.
Author_Institution :
Hungarian Acad. of Sci., Budapest, Hungary
fDate :
6/21/1905 12:00:00 AM
Abstract :
This paper is motivated by the fact that the application of the linguistic symbol-array is popular in artificial intelligence techniques. Sometimes their use is restricted by their exponential complexity, like in fuzzy logic algorithms. The main goals of this paper are two fold: one is to define a general form of the most widely applied linguistic symbol based relations; and the second is to define a storage-space complexity reduction algorithm to the general form. The key idea of this paper is supported by the fuzzy reduction approach based on singular value decomposition
Keywords :
artificial intelligence; computational complexity; fuzzy logic; singular value decomposition; artificial intelligence; exponential complexity; fuzzy logic; fuzzy reduction; linguistic symbol-array; singular value decomposition; storage-space complexity reduction; Artificial intelligence; Automation; Decision making; Fuzzy logic; Inference algorithms; Input variables; Intelligent systems; Interpolation; Piecewise linear techniques; Singular value decomposition;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.823334