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Solving variational inequalities in a fuzzy environment

机译:解决模糊环境中的变分不等式

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摘要

This paper deals with the variational inequalities in a fuzzy environment. It shows that solving the fuzzy variational inequalities is equivalent to solving a fuzzy generalized complementarity problem. By using the tolerance approach, we show that the fuzzy generalized complementarity problem can be converted to a regular unconstrained nonlinear programming problem. An entropic regularization technique is then applied to solve the resulting optimization problem. Some computational results are included, (C) 2000 Academic Press. [References: 19]
机译:本文研究了模糊环境中的变分不等式。结果表明,解决模糊变分不等式等同于解决模糊广义互补问题。通过使用公差方法,我们证明了模糊广义互补问题可以转化为规则的无约束非线性规划问题。然后应用熵正则化技术来解决最终的优化问题。包括一些计算结果,(C)2000 Academic Press。 [参考:19]

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