On PSO-Based Simulations of Fuzzy Dynamical Systems Induced by One-Dimensional Ones

Abstract

Zadeh’s extension principle is one of the elementary tools in fuzzy set theory, and among other things, it provides a natural extension of a real-valued continuous self-map to a self-map having fuzzy sets as its arguments. The purpose of this paper is to introduce a new algorithm that can be used for simulations of fuzzy dynamical systems induced by interval maps. The core of the proposed algorithm is based on calculations including piecewise linear maps, and consequently, an implementation of an optimization algorithm (in our case, particle swarm optimization) was prepared to obtain necessary piecewise linear approximations. For all parts of this algorithm, we provide detailed testing and numerous examples.

Keywords

• Zadeh’s extension principle
• particle swarm optimization
• fuzzy dynamical systems
• piecewise linearization
• simulations
• approximation