For over twenty years Charles C. Ragin has been at the forefront of the development of innovative methods for social scientists. In "Redesigning Social Inquiry", he continues his campaign to revitalize the field, challenging major aspects of the conventional template for social science research while offering a clear alternative."Redesigning ...
In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrument (the variable, which establishes only the positions of cases relative to ...
This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems. The book contains 34 chapters divided into two parts. ...
Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, robotics, and others. Theoretical advances have ...
Reflecting the advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well. Theoretical aspects of fuzzy set theory and fuzzy logic are covered in Part ...
This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision ...
This book presents the genuine essence of engineering of fuzzy sets. It includes sound theory, a general methodological framework, efficient algorithms, and detailed validation schemes. Fuzzy Sets Engineering offers discussions in a top-down fashion, with general methodology followed by specific domains which rely strongly on the methodological ...
This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.During the past 5 years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the ...
The goal of this book is to acquaint the reader with the basic elements of fuzzy set theory, fuzzy logic, fuzzy logic systems, artificial neural networks, neurofuzzy modeling, and applications of fuzzy logic and neural networks to date in traffic and transportation engineering, and to indicate the directions for future research in this area.
This book deals with fuzzy relational systems, i.e. with systems of fuzzy relations defined on a set. Fuzzy relational systems represent mathematical framework for fuzzy relational modeling which is the most successful part of fuzzy logic. The book deals with foundational aspects of fuzzy relational systems. It starts (Chapter 2) with motivations ...
Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementrary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only ...
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for ...
The formal description of non-precise data before their statistical analysis is, except for error models and interval arithmetic, a relatively young topic. Fuzziness is described in the theory of fuzzy sets but only a few papers on statistical inference for non-precise data exist. In many cases, for example when very small concentrations are being ...
The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. Particular emphasis is put on a thorough analysis of these phenomena and on the development of sound mathematical modelling approaches. The scope of the book also includes ...
The 2005 BISC International Special Event-BISCSE'05 'Forging the frontiers' was held in the University of California, Berkeley, 'Where fuzzy logic began', from November 3-6, 2005. The successful applications of fuzzy logic and it's rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely ...
In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the ...
The trend within industry is towards the use of C++ as an implementation language and object orientation as the basis for program design. Object oriented programming (OOP) is thought to provide the best methodology for developing the user-oriented, interactive programs that are typical products of modern software projects. This text presents OOP ...
We always seem to be comparing various conceptual structures in many of our higher mental activities. In any case, we use similarities and discrepancies in forming all our conceptual categories. In this book, the authors present a computerized approach to diagnosis: in particular, cognitive diagnosis. It uses fuzzy graph structures called fuzzy ...
This monograph is the first to integrate ambiguous parameters in problem-formulation with fuzzy goals for multiobjective optimization into a unified methodology. Including "real-world" applications illustrated by interactive computer programs (written in C, version 6.0 for IBM PCs), the work is intended for advanced undergraduate and graduate ...
This unique monograph provides new theories and techniques of possibility theory for data analysis in operations research. As the basic of this book, an exponential possibility distribution and its properties are introduced. Based on exponential possibility distribution, the identification methods are given to obtain the upper and lower ...
This volume presents the results of approximately 15 years of work from researchers around the world on the use of fuzzy set theory to represent imprecision in databases. The maturity of the research in the discipline and the recent developments in commercial/industrial fuzzy databases provided an opportunity to produce this survey."Fuzzy ...
This volume gives a state of the art of triangular norms which can be used for the generalization of several mathematical concepts, such as conjunction, metric, measure, etc. 16 chapters written by leading experts provide a state of the art overview of theory and applications of triangular norms and related operators in fuzzy logic, measure theory ...
This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The book studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the ...
We guarantee every item's condition, as described on Alibris. If you are not satisfied that an item is as described, return your purchase for a refund.
