"This book explores the latest development of optimization techniques. It shows the application of optimization in new fields such as big data, artificial intelligence, etc. The application of hybrid optimization techniques and stochastic optimization are explored"--

"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 offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in...

Interval mathematics as a potential weapon against uncertainty / Hend Dawood -- Uncertainty modeling using expert's knowledge as evidence / D. Datta -- Evidence-based uncertainty modeling / Tazid Ali -- Hybrid set structures for soft computing / Sunil Jacob John, Babitha KV -- Source and...