On fuzzy reasoning using matrix representation of extended fuzzy Petri nets

被引：0
|
作者：
Fryc, B
Pancerz, K
Peters, JF
Suraj, Z
机构：
[1] Univ Informat Technol & Management, Chair Comp Sci Fdn, PL-35225 Rzeszow, Poland
[2] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 2N2, Canada
[3] Rzeszow Univ, Inst Math, PL-35310 Rzeszow, Poland
来源：
FUNDAMENTA INFORMATICAE | 2004年 / 60卷 / 1-4期
关键词：
algebraic representation; fuzzy Petri nets; fuzzy reasoning; knowledge representation;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In 1990 Shyi-Ming Chen et al. presented a new approach to knowledge representation using fuzzy Petri nets (FPN). A fuzzy Petri net model allows a structural representation of knowledge and has a systematic procedure for supporting fuzzy reasoning. In this paper we propose an algebraic (matrix) representation of FPNs. We use this representation in a fuzzy reasoning algorithm which is simple to implement in modern programming languages such as C++, C# or Java. Furthermore, there exists MATLAB - a computer system which makes it possible to solve many computing problems, especially those with matrix and vector formulations. We present also an aproach enabling us to carry out a fuzzy reasoning process using the MATLAB environment.
引用
收藏
页码：143 / 157
页数：15
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