Système incertain And NotErnesto Martinez
List of bibliographic references
Number of relevant bibliographic references: 28.Ident. | Authors (with country if any) | Title |
---|---|---|
000501 | Maria Analia Rodriguez [Argentine] ; Aldo R. Vecchietti [Argentine] ; Iiro Harjunkoski [Allemagne] ; Ignacio E. Grossmann [États-Unis] | Optimal supply chain design and management over a multi-period horizon under demand uncertainty. Part I: MINLP and MILP models |
000503 | Sumit Mitra [États-Unis] ; Jose M. Pinto [États-Unis] ; Ignacio E. Grossmann [États-Unis] | Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part II: Enhanced hybrid bi-level decomposition |
000504 | Sumit Mitra [États-Unis] ; Jose M. Pinto [États-Unis] ; Ignacio E. Grossmann [États-Unis] | Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling |
000513 | WEI XIONG [République populaire de Chine] ; HAILIN LIU [États-Unis] | On Solving Some Paradoxes Using the Ordered Weighted Averaging Operator Based Decision Model |
000893 | Ignacio E. Grossmann [États-Unis] ; Bruno A. Calfa [États-Unis] ; Pablo Garcia-Herreros [États-Unis] | Evolution of concepts and models for quantifying resiliency and flexibility of chemical processes |
000A69 | B. A. Calfa [États-Unis] ; A. Agarwal [États-Unis] ; I. E. Grossmann [États-Unis] ; J. M. Wassick [États-Unis] | Data-driven multi-stage scenario tree generation via statistical property and distribution matching |
000D07 | WEI XIONG [République populaire de Chine] ; HAILIN LIU [États-Unis] | An Axiomatic Foundation for Yager's Decision Theory |
000D67 | Vijay Gupta [États-Unis] ; Ignacio E. Grossmann [États-Unis] | A new decomposition algorithm for multistage stochastic programs with endogenous uncertainties |
001286 | N. Fischer [États-Unis] ; A. Dani [États-Unis] ; N. Sharma [États-Unis] ; W. E. Dixon [États-Unis] | Saturated control of an uncertain nonlinear system with input delay |
001505 | Noam Hazon [États-Unis] ; Yonatan Aumann [Israël] ; Sarit Kraus [Israël] ; David Sarne [Israël] | Physical search problems with probabilistic knowledge |
001553 | Zhi-Gang Su [République populaire de Chine] ; Yi-Fan Wang [États-Unis] ; Pei-Hong Wang [République populaire de Chine] | Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework |
001783 | Craig D. Mcgray [États-Unis] ; Samuel M. Stavis [États-Unis] ; Joshua Giltinan [États-Unis] ; Eric Eastman [États-Unis] ; Samara Firebaugh [États-Unis] ; Jenelle Piepmeier [États-Unis] ; Jon Geist [États-Unis] ; Michael Gaitan [États-Unis] | MEMS Kinematics by Super-Resolution Fluorescence Microscopy |
001A98 | Matthias Althoff [Allemagne] ; Akshay Rajhans [États-Unis] ; Bruce H. Krogh [États-Unis] ; Soner Yaldiz [États-Unis] ; XIN LI [États-Unis] ; Lany Pileggi [États-Unis] | Formal Verification of Phase-Locked Loops Using Reachability Analysis and Continuization |
002265 | F. Oliveira [Brésil] ; V. Gupta [États-Unis] ; S. Hamacher [Brésil] ; I. E. Grossmann [États-Unis] | A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations |
002988 | Camilo B. Resende [États-Unis] ; C. Grace Heckmann [États-Unis] ; Jeremy J. Michalek [États-Unis] | Robust Design for Profit Maximization With Aversion to Downside Risk From Parametric Uncertainty in Consumer Choice Models |
002E77 | Michael Smithson [Australie] ; David V. Budescu [États-Unis] ; Stephen B. Broomell [États-Unis] ; Han-Hui Por [États-Unis] | Never say "not": Impact of negative wording in probability phrases on imprecise probability judgments |
002F68 | Takenori Atsumi [Japon] ; William C. Messner [États-Unis] | Modified Bode Plots for Robust Performance in SISO Systems With Structured and Unstructured Uncertainties : ADVANCED SERVO CONTROL FOR EMERGING DATA STORAGE SYSTEMS |
003006 | Maria Analia Rodriguez [Argentine] ; Aldo Vecchietti [Argentine] | Mid-term planning optimization model with sales contracts under demand uncertainty |
003184 | Soummya Kar [États-Unis] ; Bruno Sinopoli [États-Unis] ; José M. F. Moura [États-Unis] | Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution |
003237 | YUNFEI CHU [États-Unis] ; FENGQI YOU [États-Unis] | Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm |
003336 | Korhan Ciloglu [États-Unis] ; YUN ZHOU [États-Unis] ; Franklin Moon [États-Unis] ; A. Emin Aktan [États-Unis] | Impacts of Epistemic Uncertainty in Operational Modal Analysis |
003553 | Teddy Seidenfeld [États-Unis] ; Mark J. Schervish [États-Unis] ; Joseph B. Kadane [États-Unis] | Forecasting with imprecise probabilities |
003A19 | Mustafa Akan [États-Unis] ; Bari Ata [États-Unis] ; Tava Olsen [Nouvelle-Zélande] | Congestion-Based Lead-Time Quotation for Heterogenous Customers with Convex-Concave Delay Costs: Optimality of a Cost-Balancing Policy Based on Convex Hull Functions |
003C01 | Paolo Vicig [Italie] ; Teddy Seidenfeld [États-Unis] | Bruno de Finetti and imprecision: Imprecise probability does not exist! |
003D85 | Sebastian Terrazas-Moreno [États-Unis] ; Ignacio E. Grossmann [États-Unis] ; John M. Wassick [États-Unis] ; Scott J. Bury [États-Unis] ; Naoko Akiya [États-Unis] | An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty |
003E37 | Luis J. Zeballos [Portugal, Argentine] ; M. Isabel Gomes [Portugal] ; Ana P. Barbosa-Povoa [Portugal] ; Augusto Q. Novais [Portugal] | Addressing the uncertain quality and quantity of returns in closed-loop supply chains |
004130 | Vijay Gupta [États-Unis] ; Ignacio E. Grossmann [États-Unis] | Solution strategies for multistage stochastic programming with endogenous uncertainties |
004228 | Osman Y. Özaltin [Canada] ; Oleg A. Prokopyev [États-Unis] ; Andrew J. Schaefer [États-Unis] ; Mark S. Roberts [États-Unis] | Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach |
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