On the Development of Signatures for Artificial Intelligence Applications

被引：0

作者：

Pozna, Claudiu ^{[1
,2
,3
,4
,5
,6
]}

Precup, Radu-Emil ^{[7
]}

Foeldesi, Peter ^{[8
]}

Koczy, Laszlo T. ^{[9
,10
,11
,12
,13
,14
]}

机构：

[1] Szechenyi Istvan Univ, Dept Informat, Gyor, Hungary

[2] Szechenyi Istvan Univ, Dept Automat & Informat Technol, Gyor, Hungary

[3] Transilvania Univ Brasov, Gyor, Hungary

[4] Szechenyi Istvan Univ, Dept Informat, Brasov, Romania

[5] Szechenyi Istvan Univ, Dept Automat & Informat Technol, Brasov, Romania

[6] Transilvania Univ Brasov, Brasov, Romania

[7] Politehn Univ Timisoara, Dept Automat & Appl Informat, Timisoara, Romania

[8] Szechenyi Istvan Univ, Dept Logist & Forwarding, Gyor, Hungary

[9] Szechenyi Istvan Univ, Fac Engn Sci, Gyor, Hungary

[10] Szechenyi Istvan Univ, Dept Telecommun & Media Informat, Gyor, Hungary

[11] Budapest Univ Technol & Econ, Gyor, Hungary

[12] Szechenyi Istvan Univ, Fac Engn Sci, Budapest, Hungary

[13] Szechenyi Istvan Univ, Dept Telecommun & Media Informat, Budapest, Hungary

[14] Budapest Univ Technol & Econ, Budapest, Hungary

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2014年

关键词：

Artificial Intelligence; expert systems; knowledge representation; proto fuzzy inference systems; signatures; SLIDING-MODE CONTROL; FUZZY CONTROLLERS; OPTIMAL-DESIGN; SYSTEMS; TYPE-2; OPTIMIZATION; STABILITY; ALGORITHM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1304 / 1310

页数：7

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