Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

The control of mobile robots in an uncertain environment that is densely cluttered with
dynamic obstacles is an important problem in robotics. A fuzzy set theory is one of the …

A rule base covering the entire input domain is required for the conventional Mamdani
inference and Takagi–Sugeno–Kang (TSK) inference. Fuzzy interpolation enhances …

This paper suggests a synergy of fuzzy logic and nature-inspired optimization in terms of the
nature-inspired optimal tuning of the input membership functions of a class of Takagi …

In contrast to classical image analysis methods that employ" crisp" mathematics, fuzzy set
techniques provide an elegant foundation and a set of rich methodologies for diverse image …

From a neo-institutional perspective, this chapter investigates the function and interaction of
globalization and decentralization in China's higher education administrative reform. Both …

Case-based reasoning is a methodology with a long tradition in artificial intelligence that
brings together reasoning and machine learning techniques to solve problems based on …

This paper proposes a new tuning approach, by which, all parameters of a datadriven Model-
Free Adaptive Control (MFAC) algorithm are automatically determined using a nonlinear …

In this article, an approach is introduced which permits the numerical prediction of future
structural responses in dependency of uncertain load processes and environmental …

In this paper, a model-free approach for data mining in engineering is presented. The
numerical approach is based on artificial neural networks. Recurrent neural networks for …