This book explores the concept of artificial intelligence based on knowledge-based algorithms.
Given the current hardware and software technologies and artificial intelligence theories we
can think of how efficient to provide a solution how best to implement a model and how
successful to achieve it. This edition provides readers with the most recent progress and novel
solutions in artificial intelligence. This book aims at presenting the research results and
solutions of applications in relevance with artificial intelligence technologies. We propose to
researchers and practitioners some methods to advance the intelligent systems and apply
artificial intelligence to specific or general purpose. This book consists of 13 contributions
that feature fuzzy (r s)-minimal pre- and beta-open sets handling big coocurrence matrices
Xie-Beni-type fuzzy cluster validation fuzzy c-regression models combination of genetic
algorithm and ant colony optimization building expert system fuzzy logic and neural network
individual role adaptation for team sports application of polynomial neural networks
recursive neuro-fuzzy algorithm for water management application of interactive genetic
algorithm and Artificial Neural Network (ANN) model. This edition is published in original
peer reviewed contributions covering from initial design to final prototypes and verification.
