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Since their inception, fuzzy sets and fuzzy logic became popular. The reason is that the very idea of fuzzy sets and fuzzy logic attacks an old tradition in science, namely bivalent (black-or-white, all-or-none) judg- ment and reasoning and the thus resulting approach to formation of scientific theories and models of reality. The idea of fuzzy logic, briefly speaking, is just the opposite of this tradition: instead of full truth and falsity, our judgment and reasoning also involve intermediate truth values. Application of this idea to various fields has become known under the term fuzzy approach (or graded truth approach). Both prac- tice (many successful engineering applications) and theory (interesting nontrivial contributions and broad interest of mathematicians, logicians, and engineers) have proven the usefulness of fuzzy approach. One of the most successful areas of fuzzy methods is the application of fuzzy relational modeling. Fuzzy relations represent formal means for modeling of rather nontrivial phenomena (reasoning, decision, control, knowledge extraction, systems analysis and design, etc. ) in the pres- ence of a particular kind of indeterminacy called vagueness. Models and methods based on fuzzy relations are often described by logical formulas (or by natural language statements that can be translated into logical formulas). Therefore, in order to approach these models and methods in an appropriate formal way, it is desirable to have a general theory of fuzzy relational systems with basic connections to (formal) language which enables us to describe relationships in these systems.

Packed with new material and research, this second edition of George Friedman's bestselling Constraint Theory remains an invaluable reference for all engineers, mathematicians, and managers concerned with modeling.

The book provides the first full length exploration of fuzzy computability. This text provides a glimpse into the different approaches in this area, which is important for researchers in order to have a clear view of the field. Ideas for future research and explorations are also provided.

It began in spring 1989, thirteen years after our Systems Science Department at SUNY-Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them.

A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo logy.

In its revised, expanded and updated second edition, this book remains the guiding foundation for the still-growing field of Anticipatory Systems Theory. Includes a new set of Prolegomena, a new chapter on the Ontology of Anticipation and more.

A. H. Louie's new book continues the survey of relational biology that began with 2009's "More Than Life Itself." Decoding mathematics into biological realizations, he explores set-valued mappings, adjacency matrices, interacting entailment networks and more.

This exposition of generalized measure theory unfolds systematically. It begins with preliminaries and new concepts, followed by a detailed treatment of important new results regarding various types of nonadditive measures and associated integration theory.

Unconventional and challenging viewpoints are presented in this book that will be of interest to researchers in AI, psychology, cybernetics and systems science. The book systematically advances an alternative approach to analyze and model intelligence.

At first glance, this might appear to be a book on mathematics, but it is really intended for the practical engineer who wishes to gain greater control of the multidimensional mathematical models which are increasingly an important part of his environment.

This book presents a unique systems theory approach to management information system (MIS) development. It covers an outline of the approach, providing a theoretical foundation for MIS from the systems theoretic viewpoint before presenting practical applications ranging from a transaction processing system to a solver system.

It began in Spring 1989, thirteen years after our Systems Science Department at SUNY -Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them.

Presenting a fresh approach to the fuzzy modeling of dynamic processes in systems science research, this book's coverage of both theory and key applications incorporates time as a source of fuzziness and treats applied EFD systems such as software libraries.

This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation-a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making.

This monograph discusses the issues of stability and the control of impulsive systems on hybrid time domains, with systems presented on discrete-time domains, continuous-time domains, and hybrid-time domains (time scales).

Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements.

Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.

In 1978, when the book Living Systems was published, it contained the prediction that the sciences that were concerned with the biological and social sciences would, in the future, be stated as rigorously as the "hard sciences" that study such nonliving phenomena as temperature, distance, and the interaction of chemical elements.

Creating Internet Intelligence is an interdisciplinary treatise exploring the hypothesis that global computer and communication networks will one day evolve into an autonomous intelligent system, and making specific recommendations as to what engineers and scientists can do today to encourage and shape this evolution.

This book is the result of over ten (10) years of research and development in flexible robots and structures at Sandia National Laboratories.

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic.

In my three previous books, The Structure of Intelligence, Evolving Mind, and Chaotic Logic, I have outlined a comprehensive complex-systems-theoretic theory of mind that I now call the psynet model.

My goal in writing this book was to go directly to the core of mental process, "where angels fear to tread" -- to tackle all the sticky issues which it is considered prudent to avoid: the nature of consciousness, the relation between mind and reality, the justification of belief systems, the connection between creativity and mental illness,....

Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements.

A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo logy.