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首页> 外文期刊>International Journal of Open Problems in Computer Science and Mathematics >Fuzzy Membership Function Generation Using Particle Swarm Optimization
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Fuzzy Membership Function Generation Using Particle Swarm Optimization

机译:基于粒子群算法的模糊隶属度函数生成

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In this paper, we will propose a method to generate fuzzy membership function automatically. Particle Swarm Optimization is used as optimized algorithm, supplement the performance of fuzzy system. PSO is able to generate an optimal of fuzzy set for the membership functions automatic adjustment. Fuzzy control system that automatically back up a truck to a specified point on a loading dock is used as case study to validate the method. The objective of the problem is to back up the truck in order to go at specified position from any start position. Fuzzy system performance after generation show better result than before generation.
机译:在本文中,我们将提出一种自动生成模糊隶属度函数的方法。采用粒子群算法作为优化算法,补充了模糊系统的性能。 PSO能够为隶属函数自动调整生成最佳的模糊集。作为案例研究,使用模糊控制系统将卡车自动备份到装卸站上的指定点,以验证该方法。问题的目的是备份卡车,以便从任何起始位置到达指定位置。生成后的模糊系统性能显示出比生成前更好的结果。

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