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.
Theory and Applications
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, 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, 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.
The book explores the evolution of systems science education, sparked by a 1989 meeting between doctoral students and the department chairman at SUNY-Binghamton. The students, led by Cliff Joslyn, expressed concerns about their curriculum's lack of focus on the foundational aspects of systems science, including its historical context and future trajectory. They advocated for a comprehensive introductory course to better equip graduates to represent the field. The chairman acknowledged the need for change but highlighted the challenges in implementing it.
Primarily serving as a textbook, this multipurpose book is tailored for first-year graduate or upper-division undergraduate courses focused on fundamental systems concepts and problem-solving methods. It uniquely integrates these topics within the framework of the general systems problem solver (GSPS), an architectural formulation aimed at enhancing users' understanding of computer-based systems. The book's comprehensive approach caters to a diverse range of disciplines, making it suitable for students in systems science, information science, and systems engineering, among others.
Podkladem publikace Počítače z Loretánského náměstí se stala životopisná kapitola z knihy Memorable Ideas of a Computer School: The Life and Work of Antonín Svoboda, jejímž autorem a editorem je profesor George J. Klir (Center for Inteligent Systém State University of New York), dlouholetý spolupracovník profesora Antonína Svobody, čestný doktor technických věd na Českém vysokém učení technickém v Praze. Překlad textu je doplněn údaji získanými v Archivu ČVUT a z osobních archivů pamětníků. Publikace přináší základní informace o životě Antonína Svobody a jeho působení jak v Československé republice, tak v USA a o jeho zásluhách o výpočetní techniku. Je doplněna přílohou s dokumentárními fotografiemi.