Modern Information Decision-Making Methods

Author: Xiao Xiaonan
Publisher:
Publish Date: 2006-10-01
Features: This book is one of the course textbooks for universities and colleges in the 21st century, serving as a teaching material or reference book for undergraduate and graduate students in science and engineering, as well as finance and economics majors. The book is divided into six chapters, covering topics such as: informatization, democratization, and scientification of decision-making methods; deterministic, uncertain, and risky decision-making; fuzzy decision-making; grey system forecasting and decision-making; extension decision-making; artificial intelligence and computer-aided decision-making, etc. The book is well-structured, rich in content, logical, insightful, scientifically rigorous, and widely applicable. It not only helps improve the comprehensive quality of students in science and engineering and finance and economics majors but also serves as a highly valuable scientific reference for modern managers and engineering technicians. The book features original material, broad perspective, rich content, clear logic, rigorous structure, interesting case studies, easy-to-understand explanations, strong practicality, and thought-provoking insights, making it convenient for both teaching and self-study. To strengthen students' comprehensive analytical and problem-solving skills, the book not only introduces information decision-making theories and methods but also leaves room for further research and reflection for readers. At the end of each chapter, there are a substantial number of review questions and comprehensive exercises to help readers consolidate, review, and apply the knowledge learned. The answers to the exercises are provided at the end of the book for reference by both teachers and students. This book can be used as a teaching material or reference book for undergraduate and graduate students in relevant fields of science and engineering, as well as finance and economics majors, in modern information decision-making methods courses. It is also suitable for modern managers and engineering technicians engaged in information decision-making work for self-study.