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© 2018

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

  • Jiuping Xu
  • Mitsuo Gen
  • Asaf Hajiyev
  • Fang Lee Cooke

Benefits

  • 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

Conference proceedings ICMSEM 2017

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Advances in Management Science of the Eleventh ICMSEM

  3. Computing Methodology

    1. Front Matter
      Pages 17-17
    2. Orawan Reangsephet, Supranee Lisawadi, Syed Ejaz Ahmed
      Pages 19-34
    3. Usman Rafi, Muhammad Azam Zia, Abdul Razzaq, Sajid Ali, Muhammad Asim Saleem
      Pages 47-62
    4. Lin Lin, Chenglin Yao, Xinchang Hao
      Pages 63-77
    5. Feng Shen, Xingchao Zhao, Dao Lan, Limei Ou
      Pages 78-90
    6. Wenqiang Zhang, Yu Wang, Chunxiao Wang, Le Xiao, Mitsuo Gen
      Pages 106-116
    7. Luoji Li, Ying Zhang, Qiulin Li
      Pages 117-128
    8. Hongxing Lan, Caiyang Xu, Zhiyi Meng
      Pages 129-139

About these proceedings

Introduction

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.

Keywords

uncertainty information computational enginering decision sciences computing technologies unstructured data data mining information technology

Editors and affiliations

  • Jiuping Xu
    • 1
  • Mitsuo Gen
    • 2
  • Asaf Hajiyev
    • 3
  • Fang Lee Cooke
    • 4
  1. 1.Business and AdministrationSichuan UniversityChengduChina
  2. 2.Fuzzy Logic Systems InstituteTokyo University of ScienceTokyoJapan
  3. 3.Azerbaijan National Academy of SciencesBakuAzerbaijan
  4. 4.Monash UniversityClaytonAustralia

About the editors

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.

Bibliographic information

  • Book Title Proceedings of the Eleventh International Conference on Management Science and Engineering Management
  • Editors Jiuping Xu
    Mitsuo Gen
    Asaf Hajiyev
    Fang Lee Cooke
  • Series Title Lecture Notes on Multidisciplinary Industrial Engineering
  • Series Abbreviated Title Lecture Notes on Multidisciplinary Industrial Engineering
  • DOI https://doi.org/10.1007/978-3-319-59280-0
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-59279-4
  • Softcover ISBN 978-3-319-86587-4
  • eBook ISBN 978-3-319-59280-0
  • Edition Number 1
  • Number of Pages XXIV, 1801
  • Number of Illustrations 604 b/w illustrations, 0 illustrations in colour
  • Topics Industrial and Production Engineering
    Big Data/Analytics
    Management of Computing and Information Systems
  • Buy this book on publisher's site
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