Novel approximate solving algorithm for fuzzy relational equations

Authors:
Leh Luoh;Yi-Ke Liaw
Affiliations:
Department of Electrical Engineering, Chung-Hua University, Hsin-Chu 300, Taiwan, ROC;Department of Electrical Engineering, Chung-Hua University, Hsin-Chu 300, Taiwan, ROC
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2010

Citing 26
Cited 1

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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.