Dr. Shuming Wang received his Ph.D in Engineering at Waseda University, Japan. He was a Special Research Fellow of Japan Society for the Promotion of Science (JSPS) from 2009/04 until 2011/03. Currently, Dr. Wang is being with China Galaxy Securities Company as a Research Fellow, Beijing, China, he is also a Visiting Research Fellow of Waseda University, Japan. Dr. Wang has published more than 20 international journal and conference papers in the fields of soft computing, operational research, and management engineering. He has also served as a referee for several international journals, including, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans (IEEE TSMC-A), IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE TSMC-B), Journal of Computational & Applied Mathematics (JCAM), Mathematical & Computer Modelling (MCM), and International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems (IJUFKS). Dr. Junzo Watada is currently a full professor of Management Engineering, Knowledge Engineering and Soft Computing at Graduate School of Information, Production & Systems, Waseda University. He is the Principal Editor, a Co-Editor and an Associate Editor of various international journals, including International Journal of Biomedical Soft Computing and Human Sciences, ICIC Express Letters, International Journal of Systems and Control Engineering, and Fuzzy Optimization & Decision Making.

From the reviews: "Fuzzy stochastic optimization models can be divided into two main classes: single-stage and multistage models. The book consists of three parts: 'Theory', 'Models' and 'Real-life applications'. ... This book may be useful for students and researchers in uncertain programming." (Robert Fuller, Mathematical Reviews, January, 2013)

• Part I: Theory.- Fuzzy Random Variable.- Fuzzy Stochastic Renewal Processes.- Part II: Models.- System Reliability Optimization Models with Fuzzy Random Lifetimes.- Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity.- Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model.- VaR-Based Fuzzy Random Facility Location Model with Variable Capacity.- Part III: Real-Life Applications.

Dr. Shuming Wang received his Ph.D in Engineering at Waseda University, Japan. He was a Special Research Fellow of Japan Society for the Promotion of Science (JSPS) from 2009/04 until 2011/03. Currently, Dr. Wang is being with China Galaxy Securities Company as a Research Fellow, Beijing, China, he is also a Visiting Research Fellow of Waseda University, Japan. Dr. Wang has published more than 20 international journal and conference papers in the fields of soft computing, operational research, and management engineering. He has also served as a referee for several international journals, including, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans (IEEE TSMC-A), IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE TSMC-B), Journal of Computational & Applied Mathematics (JCAM), Mathematical & Computer Modelling (MCM), and International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems (IJUFKS). Dr. Junzo Watada is currently a full professor of Management Engineering, Knowledge Engineering and Soft Computing at Graduate School of Information, Production & Systems, Waseda University. He is the Principal Editor, a Co-Editor and an Associate Editor of various international journals, including International Journal of Biomedical Soft Computing and Human Sciences, ICIC Express Letters, International Journal of Systems and Control Engineering, and Fuzzy Optimization & Decision Making.

From the reviews: "Fuzzy stochastic optimization models can be divided into two main classes: single-stage and multistage models. The book consists of three parts: 'Theory', 'Models' and 'Real-life applications'. ... This book may be useful for students and researchers in uncertain programming." (Robert Fuller, Mathematical Reviews, January, 2013)

• Part I: Theory.- Fuzzy Random Variable.- Fuzzy Stochastic Renewal Processes.- Part II: Models.- System Reliability Optimization Models with Fuzzy Random Lifetimes.- Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity.- Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model.- VaR-Based Fuzzy Random Facility Location Model with Variable Capacity.- Part III: Real-Life Applications.

Dr. Shuming Wang received his Ph.D in Engineering at Waseda University, Japan. He was a Special Research Fellow of Japan Society for the Promotion of Science (JSPS) from 2009/04 until 2011/03. Currently, Dr. Wang is being with China Galaxy Securities Company as a Research Fellow, Beijing, China, he is also a Visiting Research Fellow of Waseda University, Japan. Dr. Wang has published more than 20 international journal and conference papers in the fields of soft computing, operational research, and management engineering. He has also served as a referee for several international journals, including, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans (IEEE TSMC-A), IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE TSMC-B), Journal of Computational & Applied Mathematics (JCAM), Mathematical & Computer Modelling (MCM), and International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems (IJUFKS). Dr. Junzo Watada is currently a full professor of Management Engineering, Knowledge Engineering and Soft Computing at Graduate School of Information, Production & Systems, Waseda University. He is the Principal Editor, a Co-Editor and an Associate Editor of various international journals, including International Journal of Biomedical Soft Computing and Human Sciences, ICIC Express Letters, International Journal of Systems and Control Engineering, and Fuzzy Optimization & Decision Making.

From the reviews: "Fuzzy stochastic optimization models can be divided into two main classes: single-stage and multistage models. The book consists of three parts: 'Theory', 'Models' and 'Real-life applications'. ... This book may be useful for students and researchers in uncertain programming." (Robert Fuller, Mathematical Reviews, January, 2013)

• Part I: Theory.- Fuzzy Random Variable.- Fuzzy Stochastic Renewal Processes.- Part II: Models.- System Reliability Optimization Models with Fuzzy Random Lifetimes.- Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity.- Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model.- VaR-Based Fuzzy Random Facility Location Model with Variable Capacity.- Part III: Real-Life Applications.