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Fuzzy Logic Modelling of Nonlinear Metamaterials
Abstract
Nonlinear metamaterials have interesting properties that could change the way technology works. Modelling the complex behaviour of metamaterials is needed to improve their performance and make new gadgets. This chapter looks at fuzzy logic models for complex effects in metamaterials. This part talks about fuzzy sets, membership functions, fuzzy rules, and inference systems. Metamaterials don't behave in a straight way, so there are problems with describing them. Input factors, membership functions, along with fuzzy rules are talked about in the modelling method of fuzzy logic for nonlinear metamaterials. Acoustic and visual metamaterial case studies show how fuzzy logic models can be used. This part also talks about the latest developments, possible uses, and pros and cons of fuzzy logic models in nonlinear metamaterials. This chapter tells scientists and engineers how to use fuzzy logic to model and understand nonlinear metamaterials.
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