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2012•Fuzzy Information and EngineeringOpen access

Numerical Solutions of Fuzzy Differential Equations by Using Hybrid Methods

P. Prakash, V.K.G. Kalaiselvi

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Abstract

In this paper, we study the numerical solution of fuzzy differential equations by using hybrid Euler method and hybrid predictor-corrector method. These methods are used to increase the accuracy and the computing speed. Also examples are presented to illustrate the computational aspects of the above methods.

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What this paper is about

In this paper, we study the numerical solution of fuzzy differential equations by using hybrid Euler method and hybrid predictor-corrector method. These methods are used to increase the accuracy and the computing speed. Also examples are presented to illustrate the computational aspects of the above methods.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we study the numerical solution of fuzzy differential equations by using hybrid Euler method and hybrid predictor-corrector method. These methods are used to increase the accuracy and the computing speed. Also examples are presented to illustrate the computational aspects of the above methods.

Key concepts: Mathematics, Fuzzy logic, Euler method, Numerical analysis, Euler's formula, Applied mathematics, Mathematical optimization, Computer science

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