Title of article :
Novel approximate solving algorithm for fuzzy relational equations
Author/Authors :
Luoh، نويسنده , , Leh and Liaw، نويسنده , , Yi-Ke، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
6
From page :
303
To page :
308
Abstract :
This paper presents a novel approximate solution algorithm for fuzzy relational equations with max-product composition. Solving fuzzy relational equations is a very important research topic because many practical engineering problems end up with fuzzy relational equations (F.R.E). Most theoretical results on F.R.E. strongly rely on an assumption that the family of exact solutions is nonempty. However, the fuzzy relational equations may no solutions. Therefore, this paper proposes real-valued GA method to find an approximate solution for fuzzy relational equations with max-product composition. An example illustrates that the proposed algorithm is effective and simple.
Keywords :
Fuzzy relational equation , genetic algorithm , Max-product composition
Journal title :
Mathematical and Computer Modelling
Serial Year :
2010
Journal title :
Mathematical and Computer Modelling
Record number :
1597101
Link To Document :
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