Novel approximate solving algorithm for fuzzy relational equations

作者：Luoh Leh^*; Liaw Yi Ke

来源：Mathematical and Computer Modelling, 2010, 52(1-2): 303-308.

DOI：10.1016/j.mcm.2010.02.046

• Fuzzy relational equation
• Genetic algorithm
• Max-product composition

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. Published by Elsevier Ltd

• 出版日期2010-7
• 单位清华大学