Information retrieval is widely used due to extremely large volume of text and image data available on the web and consequently, efficient retrieval is required. Text information retrieval is a branch of information retrieval which deals with text documents. Another key factor is the concern for...

"This book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems."

"This book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems"--

We consider function approximation by fuzzy systems. Fuzzy systems are typically used for approximating deterministic functions, in which the stochastic uncertainty is ignored. We propose probabilistic fuzzy systems in which the probabilistic nature of uncertainty is taken into account....

This paper elaborates a novel hybrid learning approach for training error optimisation and control of highly dynamic triple-link inverted pendulum on cart. The study demonstrates a relationship between shape and number of membership functions (MFs) of both linear and constant type to determine...