Proceedings of the Eleventh International Conference on Management Science and Engineering Management

This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.

Contains both theoretical and practical studies of Management Science in the Big Data Era Presents advanced management concepts Lists decision making scenarios when facing large, uncertain or unstructured data Includes supplementary material: sn.pub/extras

Autorentext

Professor JIUPING XU is affiliated to the Sichuan University, Business School. China. His research interests are in the fields of energy development, circular economy, water resources management, low-carbon and environmental issues, civil engineering and management, and integrated systems of health management.

Mitsuo Gen is a senior research scientist at Fuzzy Logic Systems Institute & Tokyo University of Science, Tokyo, Japan. He holds many professor positions in different institutions in USA and Asia. His research interests are on Soft Computing Techniques (Fuzzy Logic, Evolutional Algorithms & Artificial Neural Network); Applications to Intelligent Manufacturing and Logistics Systems.

Professor Fang Lee Cooke serves as associate dean of Business School of Monash University. She is a Professor of Human Resource Management and Asia Studies in the Department of Management.

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