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Fuzzy Set Theory — and Its Applications
Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others. Theoretical advances, too, have been made in many directions, and a gap has arisen between advanced theoretical topics and applications, which often use the theory at a rather elementary level. The primary goal of this book is to close this gap - to provide a textbook for courses in fuzzy set theory and a book that can be used as an introduction. This revised book updates the research agenda, with the chapters of possibility theory, fuzzy logic and approximate reasoning, expert systems and control, decision making and fuzzy set models in operations research being restructured and rewritten. Exercises have been added to almost all chapters and a teacher's manual is available upon request.
Fuzzy Sets, Decision Making, and Expert Systems
In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decisi...
Self-Regulated Learning and Academic Achievement
This volume brings together internationally known researchers representing different theoretical perspectives on students' self-regulation of learning. Diverse theories on how students become self-regulated learners are compared in terms of their conceptual origins, scientific form, research productivity, and pedagogical effectiveness. This is the only comprehensive comparison of diverse classical theories of self-regulated learning in print. The first edition of this text, published in 1989, presented descriptions of such differing perspectives as operant, phenomenological, social learning, volitional, Vygotskian, and constructivist theories. In this new edition, the same prominent editors ...
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Hepatotoxicity
Written by the foremost authority in the field, this volume is a comprehensive review of the multifaceted phenomenon of hepatotoxicity. Dr. Zimmerman examines the interface between chemicals and the liver; the latest research in experimental hepatotoxicology; the hepatotoxic risks of household, industrial, and environmental chemicals; and the adverse effects of drugs on the liver. This thoroughly revised, updated Second Edition features a greatly expanded section on the wide variety of drugs that can cause liver injury. For quick reference, an appendix lists these medications and their associated hepatic injuries. Also included are in-depth discussions of drug metabolism and factors affecting susceptibility to liver injury.
Applications of Self-Regulated Learning across Diverse Disciplines
Through its research-to-practice focus, this book honors the professional contributions of Professor Barry J. Zimmerman as illustrated by the recent selfregulation applications of a highly respected group of national and international scholars. This book will serve as a valuable resource for those interested in empowering and enabling learners to successfully manage and self-direct their lives, education, and careers. In particular, K-12 educators, college instructors, coaches, musicians, health care providers, and researchers will gain invaluable insight into the nature of self-regulation as well as how they can readily apply self-regulation principles into their teaching, instruction, or m...
Motivation and Self-Regulated Learning
This volume focuses on the role of motivational processes – such as goals, attributions, self-efficacy, outcome expectations, self-concept, self-esteem, social comparisons, emotions, values, and self-evaluations– in self-regulated learning. It provides theoretical and empirical evidence demonstrating the role of motivation in self-regulated learning, and discusses detailed applications of the principles of motivation and self-regulation in educational contexts. Each chapter includes a description of the motivational variables, the theoretical rationale for their importance, research evidence to support their role in self-regulation, suggestions for ways to incorporate motivational variables into learning contexts to foster self-regulatory skill development, and achievement outcomes.
