Business applications

Entdecken Sie in diesem Buch ungeahnte Lösungsansätze für komplexe Berechnungs- und Analyseprobleme.

Vorträge werden durch Texte, Fotos, Grafiken oder Diagramme anschaulich und lebendig.

Mit diesem Buch erhalten Sie Schritt für Schritt alle wichtigen Arbeitstechniken zur Bedienung von Excel.

Gestalten Sie Texte nach Ihren Vorstellungen und erstellen Sie professionelle Briefe.

Sie möchten übersichtlich und effizient die Neuerungen des Betriebssystems Windows 7 und der Office-Programme Word, Excel, Outlook und PowerPoint kennen lernen.

Sie verfassen eine wissenschaftliche Arbeit, ein Handbuch oder eine Dokumentation und verwenden zum ersten Mal Inhaltsverzeichnis, Index, Fußnoten und Co.

Entdecken Sie in diesem Buch ungeahnte Lösungsansätze für komplexe Berechnungs- und Analyseprobleme.

Gestalten Sie Texte nach Ihren Vorstellungen und erstellen Sie professionelle Briefe.

Mit diesem Buch erhalten Sie Schritt für Schritt alle wichtigen Arbeitstechniken zur Bedienung von Excel.

Vorträge werden durch Texte, Fotos, Grafiken oder Diagramme anschaulich und lebendig.

In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making.

The concept of internal control has developed along with audit practice.

This book examines a wide range of issues that characterize the current IT based innovation trends in organizations.

This editorial book presents twelve contributions from the German "e;Wirtschaftsinformatik"e;that exemplify the contemporary approach of theory-guided modeling and empiricism which complements existing approaches.

This book consists of an anthology of writings.

Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller.

Fuzzy logic is a way of thinking that is responsive to human zeal to unveil uncertainty and deal with social paradoxes emerging from it.

The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present.

Research results using some of the most advanced soft computing techniques in intelligent robotic systems are presented.

The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural.

Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book.

In Part I, the impact of an integro-differential operator on parity logic engines (PLEs) as a tool for scientific modeling from scratch is presented.

Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book.

These two volumes consIstmg of Foundations and Applications provide the current status of theoretical and empirical developments in "e;computing with words"e;.

These two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "e;computing with words"e;.

Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms.

Fuzzy systems and soft computing are new computing techniques that are tolerant to imprecision, uncertainty and partial truths.

1.

Provides an introduction to the fundamental concepts of fuzziness together with a compilation of recent advances in the application to medicine.

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred.

In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers.

This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences.

In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work.

Intelligence systems.

Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy.

Simultaneous considerations of multiobjectiveness, fuzziness and block angular structures involved in the real-world decision making problems lead us to the new field of interactive multiobjective optimization for large scale programming problems under fuzziness.

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned.

Information retrieval (IR) aims at defining systems able to provide a fast and effective content-based access to a large amount of stored information.

Nowadays, decision problems are pervaded with incomplete knowledge, i.

Since time immemorial, vision in general and images in particular have played an important and essential role in human life.

This volume contains articles accepted for presentation during The Intelligent Information Systems Symposium I1S'2000 which was held in Bystra, Poland, on June 12-16, 2000.

First of all, I would like to congratulate Gabriella Pasi and Gloria Bordogna for the work they accomplished in preparing this new book in the series "e;Study in Fuzziness and Soft Computing"e;.

Computational Intelligence is a very dynamic domain of modern information society which integrates fields such as neural networks, fuzzy systems, evolutionary computation and intelligent systems in general.

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects.

This volume constitutes the proceedings of the Fourth International Conference on Flexible Query Answering Systems, FQAS'2000, held in Warsaw, Poland on October 25 - 28, 2000.

Many business decisions are made in the absence of complete information about the decision consequences.

The present volume collects selected papers arising from lectures delivered by the authors at the School on Fuzzy Logic and Soft Computing held during the years 1996/97/98/99 and sponsored by the Salerno University.

Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise.

"e;Statistical Modeling, Analysis and Management of Fuzzy Data,"e; or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree.