Fuzzy Quantitative Management

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.

• 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.