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This book focuses on the fields of fuzzy logic, bio-inspired
algorithm; especially bee colony optimization algorithm and also
considering the fuzzy control area. The main idea is that this
areas together can to solve various control problems and to find
better results. In this book we test the proposed method using two
benchmark problems; the problem for filling a water tank and the
problem for controlling the trajectory in an autonomous mobile
robot. When Interval Type-2 Fuzzy Logic System is implemented to
model the behavior of systems, the results show a better
stabilization, because the analysis of uncertainty is better. For
this reason we consider in this book the proposed method using
fuzzy systems, fuzzy controllers, and bee colony optimization
algorithm improve the behavior of the complex control problems.
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R205
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