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Author Pozna, C. ♦ Precup, R.-E. ♦ Földesi, P. ♦ Kóczy, L.T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy logic ♦ Artificial intelligence ♦ Unified modeling language ♦ Data structures ♦ Fuzzy sets ♦ Educational institutions ♦ Adaptation models ♦ signatures ♦ Artificial Intelligence ♦ expert systems ♦ knowledge representation ♦ proto fuzzy inference systems
Abstract This paper illustrates developments of signatures for Artificial Intelligence (AI) applications. Since the signatures are data structures with efficient results in modeling of fuzzy inference systems and of uncertain expert systems, the paper starts with the analysis of the data structures used in AI applications from the knowledge representation and manipulation point of view. An overview on the signatures, on the operators on signatures and on classes of signatures is next given. Using the proto fuzzy inference system, these operators are applied in a new application of fuzzy inference system modeled by means of signatures and of classes of signatures.
Description Author affiliation: Dept. of Inf., Szechenyi Istvan Univ., Gyor, Hungary (Pozna, C.) || Dept. of Logistics & Forwarding, Szechenyi Istvan Univ., Gyor, Hungary (Földesi, P.) || Dept. of Autom. & Appl. Inf., Politeh. Univ. of Timisoara, Timisoara, Romania (Precup, R.-E.) || Dept. of Telecommun. & Media Inf., Szechenyi Istvan Univ., Gyor, Hungary (Kóczy, L.T.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-07-06
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479920723
Size (in Bytes) 2.43 MB
Page Count 7
Starting Page 1304
Ending Page 1310


Source: IEEE Xplore Digital Library