Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field.
In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or...
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral ...
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large...
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod e...
In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input.
This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based...
In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this dat...
Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems.
After a review of previous work in the related areas, Liu and Daneshmend present here a unified framework for qualitative spatial representation and reasoning, which enables the generation of solutions to spatial problems where the geometric knowledge is imprecise. The approach utilizes qualitative spatial representation and reasoning integrated with a quantitative search procedure based on simulated annealing. Many graphical illustrations...
Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems.
E-Business has become a fact for almost all companies. But what are the key technologies for economically successful e-commerce? In this book readers will find all concepts that will coin tomorrow s e-business: virtual sales assistants (shopbots), personalized web pages, electronic market places, vendor managed inventory, virtual organizations, supply chain management. Both technical and economic issues of these concepts are discussed in detail. Leading-edge real world applications are presented that will shape e-business mid-term.
This book is a must-read for managers or...
E-Business has become a fact for almost all companies. But what are the key technologies for economically successful e-commerce? In this book reade...
