
The following optimization problem is considered: Minimize \[ z=\sum^m_{i=1} c_ix_i \] subject to \[ \max_{1\leq i\leq m}x_i+a_{ij} = 2b_j,\quad j =1,\dots,n,\quad 0\leq x_i\leq 1,\;i=1,\dots,m, \] where \(0\leq a_{ij}\leq 1\), \(0\leq b_j\leq 1\) are given real numbers. Properties of the nonconvex set of feasible solutions of this problem are investigated. Using these properties, the authors propose an algorithm for solving the optimization problem mentioned above. The explanations are illustrated by small numerical examples. The proposed algorithm is in general not appropriate for solving problems with large \(m, n\).
numerical examples, algorithm, Numerical mathematical programming methods, Linear programming, linear programming, Fuzzy and other nonstochastic uncertainty mathematical programming, fuzzy relation equations, nonconvex constraints, fuzzy programming
numerical examples, algorithm, Numerical mathematical programming methods, Linear programming, linear programming, Fuzzy and other nonstochastic uncertainty mathematical programming, fuzzy relation equations, nonconvex constraints, fuzzy programming
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