A neural network to solve quadratic programming problems with fuzzy parameters

作者：Mansoori Amin; Effati Sohrab^*; Eshaghnezhad Mohammad

来源：Fuzzy Optimization and Decision Making, 2018, 17(1): 75-101.

DOI：10.1007/s10700-016-9261-9

• Quadratic programming problem with fuzzy parameters
• Neural network model
• Fuzzy mapping
• Bi-objective problem
• Weighting problem

In this paper, a representation of a recurrent neural network to solve quadratic programming problems with fuzzy parameters (FQP) is given. The motivation of the paper is to design a new effective one-layer structure neural network model for solving the FQP. As far as we know, there is not a study for the neural network on the FQP. Here, we change the FQP to a bi-objective problem. Furthermore, the bi-objective problem is reduced to a weighting problem and then the Lagrangian dual is constructed. In addition, we consider a neural network model to solve the FQP. Finally, some illustrative examples are given to show the effectiveness of our proposed approach.

• 出版日期2018-3