Fuzzy Analysis in Engineering Management

Author: Zhu Xunsheng et al.
Publisher:
Publish Date: 2004-10-01
Features: This book is written for students majoring in Industrial Engineering and Management. One of its features is the clear and concise explanation of concepts and principles without delving into complex mathematical proofs. After studying this book, readers will recognize the existence of a large number of fuzzy phenomena in the objective world and will develop a new way of thinking and the ability to handle fuzzy events. Another feature is its close integration with practical industrial engineering, with examples provided in each chapter. Upon completion of the book, students will be able to apply fuzzy principles to solve real-world problems in industrial engineering, laying a foundation for further study in fuzzy theory and its application in industrial engineering and management.
Part of the book introduces the fuzziness of things and the basic principles of handling them, naturally transitioning from classical set theory to fuzzy set theory and then elaborating on the determination of membership functions. The second part introduces the fundamental concepts and methods of fuzzy theory, including fuzzy pattern recognition, fuzzy clustering analysis, fuzzy comprehensive evaluation, fuzzy engineering management control, fuzzy forecasting and decision-making, etc. The book concludes with a brief introduction to the latest advancements in fuzzy technology.
This book is suitable as a textbook for senior undergraduate or graduate students in industrial engineering and management at colleges and universities, as well as a reference for students in other disciplines.