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This book is dedicated to addressing the central challenge of making informed business decisions within an environment characterized by uncertainty, employing Multiple Criteria Decision-Making (MCDM) methodologies. Chapter 1 provides an overview of the related concepts of grey systems theory. Chapter 2 proposes evaluation criteria for five major themes, including human resource information systems and contractor selection problems. Chapters 3–6 present four improved grey hybrid weighting methods: the grey rank order centroid method, the grey regulatory focus theory method, the grey step-wise weight analysis ratio evaluation, and the grey point allocation weighting method. Chapters 7–10 introduce four improved hybrid grey evaluation methods: the grey weighted sum model, grey relational analysis, the grey regime method, and the grey integer linear programming method. Chapters 11 and 12 discuss additional grey decision-making methods, and conclusions are drawn along with future prospects.
Über die Autorinnen und Autoren:
Moses Olabhele Esangbedo received a B.Eng. in Electrical/Electronics Engineering from Madonna University, Okija, Nigeria, in 2006. He earned an M.S. in Communication and Information Systems and a Ph.D. in Management Science and Engineering from Northwestern Polytechnical University, Xi’an, China, in 2012 and 2017, respectively. Currently, he serves as an Associate Professor with the School of Management Engineering at Xuzhou University of Technology. From 2018 to 2022, Dr. Esangbedo worked as a postdoctoral researcher at the School of Management of Northwestern Polytechnical University. Before his postdoctoral position, he gained a year of work experience as a human resource manager in Kerui Group―China. During this time, he contributed significantly by writing two notable cases: human resource information system vendor selection and scaling foreign service premium expatriate allowance problems. These cases were published in the Journal of Grey Systems, Expert Systems with Applications, and other works have been published in prestigious journals (See https://orcid.org/0000-0003-2929-0331). He is the author of the monograph entitled “Business Decision-Making Based on Grey System Theory: Methods and Applications,” published by China Aviation Publishing and Media Co. LTD. Additionally, Dr. Esangbedo serves as an associate editor of the International Journal of Grey Systems and journal editorial board member for Management Science and Business Decisions. Throughout his academic journey, Dr. Esangbedo has been recognized for his excellence. He was the recipient of full scholarship awards from the Nigerian Scholarship Council from 2008 to 2016 and the Chinese Scholarship Council from 2008 to 2017. He also received an Excellent Student award from the International College of Northwestern Polytechnical University, Creative and Innovative Project grants from Northwestern Polytechnical University, and an Excellent Ph.D. thesis award from Northwestern Polytechnical University.
Jianwu Xue received the M.S. degree in aerospace manufacturing engineering and the Ph.D. degree in management science and engineering from Northwestern Polytechnical University, Xi’an, China, in 1998 and 2011, respectively. Currently, he is leading a research project with the National Social Science Foundation of China and is actively involved in a major National Social Science Foundation project. Dr. Xue holds the position as Professor and the Head of the Management Information Systems department at the School of Management, Northwestern Polytechnical University. Over the course of his career, he has overseen more than 20 scientific research projects, including several at the national level. He has authored or coauthored over 30 academic papers, compiled four specialized textbooks, and has been recognized with three provincial and municipal science and technology achievement awards. Additionally, Dr. Xue holds four software copyrights. His primary research interests encompass information management and data analysis.
Titel: Grey Systems Theory in Business Management: ...
Verlag: Mdpi AG
Erscheinungsdatum: 2025
Einband: Hardcover
Zustand: New
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