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Fuzzy Logic is an approach to computing which is based on degrees of truth rather than Boolean Logic (True of False) used in modern computers. It is an emerging discipline in Mathematics, which counteracts to Boolean Algebra, where logic values may be partial instead of discrete and binary. Using Matlab had made application of Fuzzy logic in different application effective and efficient.
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You’ll get to learn following topics under Matlab Tutorials for Fuzzy Logic:
Engineering Mathematics is a branch of Mathematics that includes using mathematics to complex real world engineering problems. It combines engineering and mathematics to compute and solve challenges in engineering application. Further, Engineering Mathematics advances the application of mathematics to find the solution to problems in engineering. Matlab for Engineering Mathematics involves implementing advanced mathematical techniques for analytical and computer solutions of problems. The Matlab Tutorials in Engineering Mathematics will help you with following:
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Matlab Tutorials in Engineering Mathematics will provide you an insight in Advanced Engineering Mathematics in Matlab, Applied Mathematics in Matlab, Curve Fitting in Matlab, Data Regression in Matlab, Fuzzy Logic in Matlab, Global Optimization in Matlab, Optimization Techniques in Matlab, Multi-Objective Optimization in Matlab, Symbolic Math in Matlab.