Bücher der Reihe Studies in Fuzziness and Soft Computing

Researchers of the "Fuzzy Logic" group at the Microelectronics Institute of Seville have been studying fuzzy logic since the early 1990s. This book, borne of their efforts, covers the state-of-the-art of fuzzy logic-based algorithms for video de-interlacing.

This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems.

This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices.

Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others.

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems.

It covers topics such as fuzzy intuitionistic Hilbert spaces, intuitionistic fuzzy differential equations, fuzzy intuitionistic metric spaces, and numerical methods for differential equations.

This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data.

This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices.

Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field.

The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

These two volumes consisting of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word.

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system.

Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy.

Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems.

This text explains the epistemic structure of the relationships among uncertainty, expectations, risk, possibility and probability. It then probes how fuzzy paradigm and fuzzy rationality bring new understanding to those relationships.

This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.

E-commerce has passed through a number of stages in the minds of most readers of the daily press. Indeed, the term e-commerce itself is coming to mean only the transaction-based component of e-business-'any process that a business organisation conducts over a computer-mediated network' as Thomas Mesenbourg ofthe U.

The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research.

Textiles and computing have long been associated. High volume and low profit margins of textile products have driven the industry to invest in high technology, particularly in the area of data interpretation and analysis. Contained in this volume are six chapters discussing various aspects of soft computing in the field of textiles and apparel.

Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others.

This book is devoted to reporting innovative and significant progress in fuzzy system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.

The theory of fuzzy sets and fuzzy logic was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty.

An in-depth look at soft computing methods and their applications in the human sciences, such as the social and the behavioral sciences. Soft computing methods - including fuzzy systems, neural networks, evolutionary computing and probabilistic reasoning - are state-of-the-art methods in theory formation and model construction.

Game theory has already proved its tremendous potential for con?ict resolution problems in the ?elds of Decision Theory and Economics. The objective of this book is to present a systematic and focussed study of the application of fuzzy sets to two very basic areas of decision theory, namely Mathematical Programming and Matrix Game Theory.

Includes a collection of surveys, tutorials, and application examples, written by experts working in the interdisciplinary fields, overlapping fuzzy logic and chaos theory. This book covers fuzzy definition of chaos; fuzzy modelling and control of chaotic systems, using both Mamdani and Takagi-Sugeno models; fuzzy model identification, and more.

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics.

The late George Gargov (7 April 1947 - 9 November 1996) is the "god father" of the sets I introduced - in fact, he has invented the name "intu itionistic fuzzy", motivated by the fact that the law of the excluded middle does not hold for them.

The most powerful computers in the world are not only used for scientific research, defence, and business, but also in game playing. Recent advances in computational intelligence paradigms have generated tremendous interest among researchers in the theory and implementation of games.

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