Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints
Jian Zhou, Ying Yu, Yuhan Liu, Yuanyuan Zhang · Journal of Inequalities and Applications · 2016
This paper considers the problem of minimizing a nonlinear objective function subject to a system of bipolar fuzzy relational equations with max- $T_{L}$ composition, where $T_{L}$ is the Łukasiewicz triangular norm. It shows that the feasible domain, i.e., the solution set of a system of bipolar fuzzy relational equations, can be reformulated as a system of 0-1 mixed integer inequalities. Consequently, such a type of optimization problems can be handled within the framework of 0-1 mixed integer optimization requiring no particular solving techniques.