Background
Klir, George Jiri was born on April 22, 1932 in Prague, Czechoslovakia. Arrived in the United States, 1966, naturalized, 1972. Son of Jan and Emilie (Pritasilová) Klir.
(One criterion for classifying books is whether they are w...)
One criterion for classifying books is whether they are written for a single pur pose or for multiple purposes. This book belongs to the category of multipurpose books, but one of its roles is predominant-it is primarily a textbook. As such, it can be used for a variety ofcourses at the first-year graduate or upper-division undergraduate level. A common characteristic of these courses is that they cover fundamental systems concepts, major categories of systems problems, and some selected methods for dealing with these problems at a rather general level. 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. Theasps architecture,which is developed throughout the book, facilitates a framework that is conducive to acoherent, comprehensive, and pragmaticcoverage ofsystems fundamentals-concepts, problems, and methods. A course that covers systems fundamentals is now offered not only in sys tems science, information science, or systems engineering programs, but in many programs in other disciplines as well. Although the level ofcoverage for systems science or engineering students is surely different from that used for students in other disciplines, this book is designed to serve both of these needs.
http://www.amazon.com/gp/product/0306473577/?tag=2022091-20
(The book is an overview of the development of basic ideas...)
The book is an overview of the development of basic ideas and mathematical results regarding measures and principles of uncertainty-based information formalized within the framework of classical set theory, probability theory, fuzzy set theory, possibility theory, and the Dempster-Shafer theory of evidence. The book contains many new results, which had until now not been available in a single monograph. The book is very useful for researchers, but it can also be used as a graduate text.
http://www.amazon.com/gp/product/3790810738/?tag=2022091-20
(Providing the first comprehensive treatment of the subjec...)
Providing the first comprehensive treatment of the subject, this groundbreaking work is solidly founded on a decade of concentrated research, some of which is published here for the first time, as well as practical, ''hands on'' classroom experience. The clarity of presentation and abundance of examples and exercises make it suitable as a graduate level text in mathematics, decision making, artificial intelligence, and engineering courses.
http://www.amazon.com/gp/product/1441932259/?tag=2022091-20
(Information is precious. It reduces our uncertainty in ma...)
Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are cold. His existence was paradoxical to classical physics and only the realization that information too was a source of power led to his taming. Information has recently become a commodity, traded and sold like or ange juice or hog bellies. Colleges give degrees in information science and information management. Technology of the computer age has provided access to information in overwhelming quantity. Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory. The volume is organized as follows.
http://www.amazon.com/gp/product/379082464X/?tag=2022091-20
(One criterion for classifying books is whether they are w...)
One criterion for classifying books is whether they are written for a single pur pose or for multiple purposes. This book belongs to the category of multipurpose books, but one of its roles is predominant-it is primarily a textbook. As such, it can be used for a variety ofcourses at the first-year graduate or upper-division undergraduate level. A common characteristic of these courses is that they cover fundamental systems concepts, major categories of systems problems, and some selected methods for dealing with these problems at a rather general level. 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. Theasps architecture,which is developed throughout the book, facilitates a framework that is conducive to acoherent, comprehensive, and pragmaticcoverage ofsystems fundamentals-concepts, problems, and methods. A course that covers systems fundamentals is now offered not only in sys tems science, information science, or systems engineering programs, but in many programs in other disciplines as well. Although the level ofcoverage for systems science or engineering students is surely different from that used for students in other disciplines, this book is designed to serve both of these needs.
http://www.amazon.com/gp/product/1461348463/?tag=2022091-20
(Providing the first comprehensive treatment of the subjec...)
Providing the first comprehensive treatment of the subject, this groundbreaking work is solidly founded on a decade of concentrated research, some of which is published here for the first time, as well as practical, ''hands on'' classroom experience. The clarity of presentation and abundance of examples and exercises make it suitable as a graduate level text in mathematics, decision making, artificial intelligence, and engineering courses.
http://www.amazon.com/gp/product/0306442604/?tag=2022091-20
( Reflecting the tremendous advances that have taken pla...)
Reflecting the tremendous 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 I of the text, including: basic types of fuzzy sets; connections between fuzzy sets and crisp sets; the various aggregation operations of fuzzy sets; fuzzy numbers and arithmetic operations on fuzzy numbers; fuzzy relations and the study of fuzzy relation equations. Part II is devoted to applications of fuzzy set theory and fuzzy logic, including: various methods for constructing membership functions of fuzzy sets; the use of fuzzy logic for approximate reasoning in expert systems; fuzzy systems and controllers; fuzzy databases; fuzzy decision making; and engineering applications. For everyone interested in an introduction to fuzzy set theory and fuzzy logic.
http://www.amazon.com/gp/product/0131011715/?tag=2022091-20
( Generalized Measure Theory examines the relatively new ...)
Generalized Measure Theory examines the relatively new mathematical area of generalized measure theory. The exposition unfolds systematically, beginning with preliminaries and new concepts, followed by a detailed treatment of important new results regarding various types of nonadditive measures and the associated integration theory. The latter involves several types of integrals: Sugeno integrals, Choquet integrals, pan-integrals, and lower and upper integrals. All of the topics are motivated by numerous examples, culminating in a final chapter on applications of generalized measure theory. Some key features of the book include: many exercises at the end of each chapter along with relevant historical and bibliographical notes, an extensive bibliography, and name and subject indices. The work is suitable for a classroom setting at the graduate level in courses or seminars in applied mathematics, computer science, engineering, and some areas of science. A sound background in mathematical analysis is required. Since the book contains many original results by the authors, it will also appeal to researchers working in the emerging area of generalized measure theory.
http://www.amazon.com/gp/product/1441945768/?tag=2022091-20
(This book has a rather strange history. It began in sprin...)
This book has a rather strange history. 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. The spokesman of the group, Cliff Joslyn, opened our meeting by stating its purpose. I can closely paraphrase what he said: "We called this meeting to discuss with you, as Chairman of the Department, a fundamental problem with our systems science curriculum. In general, we consider it a good curriculum: we learn a lot of concepts, principles, and methodological tools, mathematical, computational, heu ristic, which are fundamental to understanding and dealing with systems. And, yet, we learn virtually nothing about systems science itself. What is systems science? What are its historical roots? What are its aims? Where does it stand and where is it likely to go? These are pressing questions to us. After all, aren't we supposed to carry the systems science flag after we graduate from this program? We feel that a broad introductory course to systems science is urgently needed in the curriculum. Do you agree with this assessment?" The answer was obvious and, yet, not easy to give: "I agree, of course, but I do not see how the situation could be alleviated in the foreseeable future.
http://www.amazon.com/gp/product/0306466236/?tag=2022091-20
(Engineers and scientists often need to solve complex prob...)
Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge and ignorance, how to model and analyze uncertainty, and how to select appropriate analytical tools for particular problems. This volume covers primary components of ignorance and their impact on practice and decision making. It provides an overview of the current state of uncertainty modeling and analysis, and reviews emerging theories while emphasizing practical applications in science and engineering. The book introduces fundamental concepts of classical, fuzzy, and rough sets, probability, Bayesian methods, interval analysis, fuzzy arithmetic, interval probabilities, evidence theory, open-world models, sequences, and possibility theory. The authors present these methods to meet the needs of practitioners in many fields, emphasizing the practical use, limitations, advantages, and disadvantages of the methods.
http://www.amazon.com/gp/product/1584886447/?tag=2022091-20
( This book is designed to help anyone understand the ba...)
This book is designed to help anyone understand the basics of fuzzy sets, whether or not they have a mathematical background. The book first presents a basic grounding in information theory, classical logic and set theories. Next, it introduces the basics of fuzzy sets, distinguishing them from traditional crisp sets, and introducing the concept of membership function. The distinctions between classical and fuzzy relations are introduced, as are representations of fuzzy relations; fuzzy equivalence relations; fuzzy partial orderings, and related topics. The book introduces fuzzy arithmetic and fuzzy numbers. It also presents a detailed introduction to fuzzy logic, multivalued logics, fuzzy propositions, quantifiers, linguistic hedges and approximate reasoning. Several basic and advanced applications for fuzzy set theory are presented as well. Any non-technical reader interested in fuzzy sets and fuzzy logic. Also ideal for introductory level-students, whether they are planning a technical or non-technical course of study.
http://www.amazon.com/gp/product/0133410587/?tag=2022091-20
(This book has a rather strange history. It began in sprin...)
This book has a rather strange history. 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. The spokesman of the group, Cliff Joslyn, opened our meeting by stating its purpose. I can closely paraphrase what he said: "We called this meeting to discuss with you, as Chairman of the Department, a fundamental problem with our systems science curriculum. In general, we consider it a good curriculum: we learn a lot of concepts, principles, and methodological tools, mathematical, computational, heu ristic, which are fundamental to understanding and dealing with systems. And, yet, we learn virtually nothing about systems science itself. What is systems science? What are its historical roots? What are its aims? Where does it stand and where is it likely to go? These are pressing questions to us. After all, aren't we supposed to carry the systems science flag after we graduate from this program? We feel that a broad introductory course to systems science is urgently needed in the curriculum. Do you agree with this assessment?" The answer was obvious and, yet, not easy to give: "I agree, of course, but I do not see how the situation could be alleviated in the foreseeable future.
http://www.amazon.com/gp/product/146135501X/?tag=2022091-20
Klir, George Jiri was born on April 22, 1932 in Prague, Czechoslovakia. Arrived in the United States, 1966, naturalized, 1972. Son of Jan and Emilie (Pritasilová) Klir.
Master of Science in Electrical Engineering, Czech Technology University, Prague, 1957. Doctor of Philosophy, Czechoslovak Academy of Sciences, Prague, 1964. Doctor (honorary), Prague University of Economics, 1994.
Doctor (honorary), Technology University in Brno, 1997. Doctor (honorary), Czech Technology University, 1998. Doctor (honorary), University Ostrava, 2003.
Doctor (honorary), University Western Bohemia, 2004. Doctor of Philosophy. (honorary), Institute Advanced Studies in Systems Research and Cybernetics, Baden-Baden, Germany, 2006.
Research fellow, Institute Computer Research, Prague, 1960-1964; lecturer, U. Baghdad, Iraq, 1964-1966; lecturer, University of California at Los Angeles, 1966-1968; associate professor, Fairleigh Dickinson U., 1968-1969; associate professor, School Advanced Technology, State University of New York, Binghamton, 1969-1972; professor systems science, School Advanced Technology, State University of New York, Binghamton, since 1972; distinguished professor T.J. Watson School, School Advanced Technology, State University of New York, Binghamton, since 1984; department chairman systems science, School Advanced Technology, State University of New York, Binghamton, 1977-1994. Director International Conference Applied General Systems Research, 1977, Center for Intelligent Systems, T.J. Watson School, since 1995.
(The book is an overview of the development of basic ideas...)
( Reflecting the tremendous advances that have taken pla...)
(Providing the first comprehensive treatment of the subjec...)
(Providing the first comprehensive treatment of the subjec...)
(Engineers and scientists often need to solve complex prob...)
( This book is designed to help anyone understand the ba...)
(One criterion for classifying books is whether they are w...)
(One criterion for classifying books is whether they are w...)
( Generalized Measure Theory examines the relatively new ...)
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(This book has a rather strange history. It began in sprin...)
(This book has a rather strange history. It began in sprin...)
(Dust jacket in fair condition.Hardback, ex-library, with ...)
(Information is precious. It reduces our uncertainty in ma...)
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Fellow: Institute of Electrical and Electronics Engineers (Computational Intelligence Society Fuzzy Systems Pioneer award 2007), International Fuzzy Systems Association (president 1993-1995, Outstanding Achievement award 2005). Member: American Association for the Advancement of Science, North America Fuzzy Information Processing Society 1988-1991, (K.S. Fu award 2007), International Federation Systems Research 1980-1984, International Society Systems Sciences (managing director, vice president 1978-1980, president 1980-1981, Distinguished Leadership award 1994).
Married Milena Reholová, January 26, 1962. Children: Jane, John.