Author(s)

Seyedeh Maedeh Mirmohseni¹, Seyed Hadi Nasseri^2*

¹School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, Guangzhou, China.
²Department of Mathematics, University of Mazandaran, Babolsar, Iran.

Quadratic Programming (QP) is a mathematical modeling technique designed to optimize the usage of limited resources and has been widely applied to solve real world problems. In conventional quadratic programming model the parameters are known constants. However in many practical situations, it is not reasonable to require that the constraints or the objective function in quadratic programming problems be specified in precise, crisp terms. In such situations, it is desirable to use some type of Fuzzy Quadratic Programming (FQP) problem. In this paper a new approach is proposed to derive the fuzzy objective value of fuzzy quadratic programming problem, where the constraints coefficients and the right-hand sides are all triangular fuzzy numbers. The proposed method is solved using MATLAB^TM toolbox and the numerical results are presented.

Fuzzy Numbers, Quadratic Programming, Membership Function

Mirmohseni, S. and Nasseri, S. (2017) A Quadratic Programming with Triangular Fuzzy Numbers. Journal of Applied Mathematics and Physics, 5, 2218-2227. doi: 10.4236/jamp.2017.511181.