Fuzzy Quantitative Management / Fuzzy Management Methods (PDF)
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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.
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.
- Autoren: Shaopei Lin , Guohua Zhao
- 2023, 1st ed. 2023, 165 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 981107688X
- ISBN-13: 9789811076886
- Erscheinungsdatum: 26.10.2023
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- Dateiformat: PDF
- Grösse: 5.01 MB
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