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

Volume

3

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

822

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.823334

Filename

823334