Bernard ROY Professor, University of Paris-Dauphine Director of LAMSADE 11 is not unusual for a dozen or so loosely related working papers to be published in book form as the natural outgrowth of a scientific gathering. Although many a volu- me of collected papers has come into point in this way, the homogeneity of the arti- cles included will often be more apparent than real. As the reader will quickly ob- serve, such is not the case with the present volume. As one can judge from its ti- tle, 1t is in fact an outcome of an ed~torial project by J. Kacprzyk and M. Roubens. T~ey asked...
Bernard ROY Professor, University of Paris-Dauphine Director of LAMSADE 11 is not unusual for a dozen or so loosely related working papers to be publi...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Theory are often consi dered to be identical with optimizationo But also in other areas such as engineering design, regional policy, logistics and many others, the search for optimal solutions is one of the prime goals. The methods and models which have been used over the last decades in these areas have primarily been "hard" or "crisp," i. e. the solutions were considered to be either fea sible or unfeasible, either above a certain aspiration level or below. This dichotomous structure of methods...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Theory are often consi dered to be identical with opt...
In recent years the Internet has become a source of data and information of indisputable importance and has immensely gained in acceptance and popularity. The World Wide Web (WWW or Web, for short), frequently named "the nervous system of the infor- tion society," offers numerous valuable services leaving no doubt about the signi?cance of the Web in our daily activities at work and at home. Consequently, we have a clear aspiration to meet the obvious need for effective use of its potential by making - provements in both the methods and the technology applied. Among the new research directions...
In recent years the Internet has become a source of data and information of indisputable importance and has immensely gained in acceptance and popular...
Nadia Nedjah Luiza De Macedo Mourelle Janusz Kacprzyk
Real-world case studies of data mining are based on proprietary datasets, making it hard to publish the results and evaluate the data mining techniques. This book offers the latest research developed for data mining for real-world application.
Real-world case studies of data mining are based on proprietary datasets, making it hard to publish the results and evaluate the data mining techni...
This volume features the latest research on modeling dynamics in processes and systems. It details modern tools and techniques that can be useful for the modeling of dynamics, taking a close look at automation and robotics as well as biological systems.
This volume features the latest research on modeling dynamics in processes and systems. It details modern tools and techniques that can be useful f...
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a...
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable p...
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems.
The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time...
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft...
We are facing an immense growth of digital data and information resources, both in terms of size, complexity, modalities and intrusiveness. Almost every aspect of our existence is being digitally captured. This is exemplified by the omnipresent existence of all kinds of data storage, far beyond those stored in traditional relational databases. The spectrum of data being digitally stored runs from multimedia data repositories to your purchases in most stores. Every tweet that you broadcast is captured for posterity. Needless to say this situation posses new research opportunities, challenges...
We are facing an immense growth of digital data and information resources, both in terms of size, complexity, modalities and intrusiveness. Almost eve...
The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiology. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. This volume is a rare collection of 12 chapters compiling the latest state-of-the-art research in the area of intelligent paradigms authored by the world leading well-established experts in the field. Each chapter focuses on different aspects of intelligent systems. The chapters present the latest theoretical...
The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiolog...
In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very...
In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertaint...
