Research on an Improved Cellular Automata Model

Hong Wang; Yu Qiu Liu; Li Hui Zhou

doi:10.4028/www.scientific.net/AMM.160.109

Paper Titles

Nonlinear Seismic Response Analysis of Concrete Perforated Brick Masonry Building
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Transportation of Droplets within Two Substrates by Help of Surface Acoustic Wave
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Influences of Heat Treatment on Spinning Process with Large Thinning Rate and Performance of 30CrMnSiA
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The DNA Genetic Algorithm Applied for Solving Optimal Placement of Sensors
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Research on an Improved Cellular Automata Model
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Control Algorithm Research of Electric Actuator Based on Switched Reluctance Motor
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Study on Structure Including Interface Based on Interface Stress Element Method
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A Probability Assessment Method for Degradation of Bridge Power MOSFET Circuit Based on Common Turn-On State
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Determining the Soil Water Characteristic Curve in Term of Van Genuchten Parameters by the Particle Swarm Optimization
p.130

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 160Research on an Improved Cellular Automata Model

Research on an Improved Cellular Automata Model

Abstract:

We introduce type-2 fuzzy reasoning to models of cellular automata, and combine type-2 fuzzy logic and classic cellular automata model to establish a new model of evolution reasoning, cellular automata model based on type-2 fuzzy logic. The key parts of cellular automata are transition functions and cell states. We fuzzify the transition functions of cellular automata into type-2 fuzzy rules, and cell states into type-2 fuzzy states too. Thus, we establish an improved cellular automata model based on type-2 fuzzy logic.