Social Fuzziology

Social Fuzziology
Author: Vladimir Dimitrov
Publisher: Physica
Total Pages: 205
Release: 2012-12-06
Genre: Computers
ISBN: 3790817783

Fuzziology studies the fuzziness inherent in what we know about ourselves, the sources and nature of our experience, our thoughts and feelings, drives for understanding and urges to create and realise our potential. This kind of fuzziness is at the core of our existence, at the essence of our humanness. It affects any field of human activity, be it mathematical study of fuzzy equations and fuzzy integrals; engineering design and implementation of fuzzy logic-based methodologies; fuzzy control systems or fuzzy robots. Social fuzziology investigates the role of fuzziness in understanding the dynamic complexity of human existence in the social world. It is a study of the nexus between the complex demands of life -individual and social -and the fuzziness of thinking. Since human evolution over 2 billion years has seen the co-evolution of social complexity with human language and thought, it is likely that the fuzziness of language and thought is especially intimately formed by the demands of social complexity, just as social complexity is sustained by the inherent fuzziness of language and thought. Social fuzziology is not simply one field of application of fuzziology. Given the initial state of the development of fuzziology, social fuzziology needs to develop hand in hand with fuzziology, each helping to advance the other.

Introduction to Fuzziology: Study of Fuzziness of Knowing

Introduction to Fuzziology: Study of Fuzziness of Knowing
Author: Vladimir Dimitrov
Publisher: Lulu.com
Total Pages: 160
Release: 2005
Genre: Education
ISBN: 1411652711

Fuzziology studies the sources, nature and dynamics of fuzziness (uncertainty) embedded in our understanding of ourselves and the world we live in. It aims at revealing the secrets of how to deal with uncertainty a?? not fighting with it in attempt to reduce or eliminate it, but learning to collaborate with it and use its dynamics as catalysts for our growth in wisdom. This is of vital importance in todaya??s epoch of rapidly escalating complexity and uncertainty along every dimension of life.The book describes a rich spectrum of theoretical and practical insights born out of the authora??s research in the field of human-oriented applications of fuzzy logic and complexity a?? a research to which he has devoted many years of his academic life.

Fuzzy Logic

Fuzzy Logic
Author: Vladimir Dimitrov
Publisher: Physica
Total Pages: 397
Release: 2013-12-06
Genre: Mathematics
ISBN: 3790818062

At the beginning of the new millennium, fuzzy logic opens a new challenging perspective in information processing. This perspective emerges out of the ideas of the founder of fuzzy logic - Lotfi Zadeh, to develop 'soft' tools for direct computing with human perceptions. The enigmatic nature of human perceptions manifests in their unique capacity to generalize, extract patterns and capture both the essence and the integrity of the events and phenomena in human life. This capacity goes together with an intrinsic imprecision of the perception-based information. According to Zadeh, it is because of the imprecision of the human imprecision that they do not lend themselves to meaning representation through the use of precise methods based on predicate logic. This is the principal reason why existing scientific theories do not have the capability to operate on perception-based information. We are at the eve of the emergence of a theory with such a capability. Its applicative effectiveness has been already demonstrated through the industrial implementation of the soft computing - a powerful intelligent technology centred in fuzzy logic. At the focus of the papers included in this book is the knowledge and experience of the researchers in relation both to the engineering applications of soft computing and to its social and philosophical implications at the dawn of the third millennium. The papers clearly demonstrate that Fuzzy Logic revolutionizes general approaches for solving applied problems and reveals deep connections between them and their solutions.

Recent Developments in Fuzzy Logic and Fuzzy Sets

Recent Developments in Fuzzy Logic and Fuzzy Sets
Author: Shahnaz N. Shahbazova
Publisher: Springer Nature
Total Pages: 213
Release: 2020-03-05
Genre: Technology & Engineering
ISBN: 303038893X

This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh’s closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.

A New Kind of Social Science

A New Kind of Social Science
Author: Vlad Dimitrov
Publisher: Lulu.com
Total Pages: 218
Release: 2003
Genre: Psychology
ISBN: 1411601424

This book introduces a new kind of social inquiry centered in exploration of the self-organizing nature of human dynamics. The author links the study of social complexity with his original research into uncertainty inherent in human knowing and learning.

Views on Fuzzy Sets and Systems from Different Perspectives

Views on Fuzzy Sets and Systems from Different Perspectives
Author: Rudolf Seising
Publisher: Springer
Total Pages: 604
Release: 2009-03-12
Genre: Technology & Engineering
ISBN: 3540938028

In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life.

Fuzzy Probabilities

Fuzzy Probabilities
Author: James J. Buckley
Publisher: Physica
Total Pages: 168
Release: 2012-12-06
Genre: Computers
ISBN: 3642867863

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic because probabilities must add to one. Fuzzy random variables have fuzzy distributions. A fuzzy normal random variable has the normal distribution with fuzzy number mean and variance. Applications are to queuing theory, Markov chains, inventory control, decision theory and reliability theory.

Fuzzy Sets Based Heuristics for Optimization

Fuzzy Sets Based Heuristics for Optimization
Author: José-Luis Verdegay
Publisher: Springer
Total Pages: 357
Release: 2012-11-03
Genre: Mathematics
ISBN: 3540364617

The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

Cardinalities of Fuzzy Sets

Cardinalities of Fuzzy Sets
Author: Maciej Wygralak
Publisher: Springer
Total Pages: 205
Release: 2012-12-06
Genre: Mathematics
ISBN: 3540363823

Counting is one of the basic elementary mathematical activities. It comes with two complementary aspects: to determine the number of elements of a set - and to create an ordering between the objects of counting just by counting them over. For finite sets of objects these two aspects are realized by the same type of num bers: the natural numbers. That these complementary aspects of the counting pro cess may need different kinds of numbers becomes apparent if one extends the process of counting to infinite sets. As general tools to determine numbers of elements the cardinals have been created in set theory, and set theorists have in parallel created the ordinals to count over any set of objects. For both types of numbers it is not only counting they are used for, it is also the strongly related process of calculation - especially addition and, derived from it, multiplication and even exponentiation - which is based upon these numbers. For fuzzy sets the idea of counting, in both aspects, looses its naive foundation: because it is to a large extent founded upon of the idea that there is a clear distinc tion between those objects which have to be counted - and those ones which have to be neglected for the particular counting process.

Fuzzy Filters for Image Processing

Fuzzy Filters for Image Processing
Author: Mike Nachtegael
Publisher: Springer
Total Pages: 393
Release: 2013-06-05
Genre: Technology & Engineering
ISBN: 354036420X

The ongoing increase in scale of integration of electronics makes storage and computational power affordable to many applications. Also image process ing systems can benefit from this trend. A variety of algorithms for image processing tasks becomes close at hand. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. A particular useful property of fuzzy logic techniques is their ability to represent knowledge in a way which is comprehensible to human interpretation. 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. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from mem bership to nonmembership, providing partial degrees of membership. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. The present book resulted from the workshop "Fuzzy Filters for Image Processing" which was organized at the 10th FUZZ-IEEE Conference in Mel bourne, Australia. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. Afterwards, the book has been completed with contributions of other international re searchers.