Solving Bipolar Max-Tp Equation Constrained Multi-Objective Optimization Problems
Cheng-Kai Hu, Fung-Bao Liu, Cheng-Feng Hu · International Journal on Soft Computing · 2016
This work considers the multi-objective optimization problem constrained by a system of bipolar fuzzy relational equations with max-product composition.An integer optimization based technique for order of preference by similarity to the ideal solution is proposed for solving such a problem.Some critical features associated with the feasible domain and optimal solutions of the bipolar max-T p equation constrained optimization problem are studied.An illustrative example verifying the idea of this paper is included.This is the first attempt to study the bipolar max-T equation constrained multi-objective optimization problems from an integer programming viewpoint.