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Fuzzy Quantitative Management: Principles, Methodologies and Applications: Fuzzy Management Methods

Autor Shaopei Lin, Guohua Zhao
en Limba Engleză Hardback – 27 oct 2023
This book is devoted to fuzzy quantitative studies in managerial science, discussing the philosophical background and decision-making essentials. For reference, a series of practical examples illustrate broad areas of application that are important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence with fuzzy approaches is the basis of “Fuzzy-AI model,” which offers an efficient tool capable of simulating human intelligence in order to perform digitized decision inference and quantitative information management.
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Specificații

ISBN-13: 9789811076879
ISBN-10: 9811076871
Pagini: 165
Ilustrații: XVIII, 165 p. 63 illus., 26 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Fuzzy Management Methods

Locul publicării:Singapore, Singapore

Cuprins

Philosophical Consideration of Quantitative management.- The role of “Fuzz-AI Model” in Quantitative Management.- The Conceptual Investigation of “Deep Data” and “Deep Knowledge”.- Fuzzy Quantitative Risk Management.- Quantitative Studies in Risk Management by Knowledge Engineering.- Fuzzy Quantitative Management in Economics.- Fuzzy Programming Modeling for Decision Making.- The Advances in Quantitative Management in Decision.

Notă biografică

Prof. Shaopei Lin is Fellow of ICE and Royal Chartered Engineer, U.K.. He has been the board director of PMI Global Accreditation Center, USA and Chairman of PMI-GAC China regional Center. Executive Director, ICE (Institution of Civil Engineers, U. K.) China Education and Training Center. He serves as a professor in Shanghai Jiao Tong University, China since 1986, devoted to the teaching and research in engineering and management; he devotes himself as the consulting work for more than 50 years. In 1990s, he has been research professor in Cornell University, USA and Hog Kong University. For his contribution in project management education and practice in China, he obtained Life-Long Achievement Award issued by PMI China in 2012.
Prof. Lin has authored ten books including four published by Springer and near about two hundreds of papers, edited around dozen of Proceedings and special volumes in Engineering and Management the world over.

Dr. Guohua Zhao is currently vice president of Shanghai Jiao Tong University Design and Research Institute(SJTUDRI) & President of Urban Development Comprehensive Design and Research Institute(UDCDRI). He obtained Doctor of Business Administration from Otago University, New Zealand and is currently a Senior Engineer, Researcher of Shanghai Jiao Tong University Public-Private Partnership Research Center, PPP Expert of National Development and Reform Commission, Expert of Science and Technology Commission of Shanghai Municipal Housing and Urban-Rural Construction Administration Commission.
Dr. Zhao is mainly engaged in the research of urban planning and economic development, especially in project management and PPP projects consultation works. He is keen in involving managing financial activities as the expert of quantitative management with uncertain approaches. He has 20 more years of project management and consulting experience and has been authored near 10 publications in this field. 


Textul de pe ultima copertă

This book is devoted to fuzzy quantitative studies in managerial science, discussing the philosophical background and decision-making essentials. For reference, a series of practical examples illustrate broad areas of application that are important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence with fuzzy approaches is the basis of “Fuzzy-AI model,” which offers an efficient tool capable of simulating human intelligence in order to perform digitized decision inference and quantitative information management.

Caracteristici

Uniquely illustrates quantified solutions in digital fuzzy modeling Employs the relation of human intelligence and fuzzy information processing by using fuzzy inference philosophy Explores quantitative management by fuzzy mathematical modeling and presents it as a new discipline