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Reverse pricing has been recognized as an effective tool to handle demand uncertainty in the travel industry (e.g., airlines and hotels). To investigate its viability for communication networks, we study the practical limitations of (operator-driven) time-dependent pricing that has been recently introduced, taking into account demand uncertainty. Compared to (operator-driven) time-dependent pricing,...
Traditional systems engineering methods and theories are not sufficient for analyzing and explaining the dynamics of the resource allocation for Systems of Systems (SoS) with autonomous parts. This paper introduces a framework, using complex network models, for studying the interaction of autonomous components and the design of the system connectivity structure in SoS as well as their impact on resource...
This paper presents results of research into the use of models and methods of multicriteria decision making in a fuzzy environment for solving power engineering problems. Two classes of models associated with multiobjective (<X, M> models) and multiattribute (<X, R> models) problems, as well as methods for their analysis are briefly discussed. A review of the authors' results related to...
Risk aversion is one of the most important issues in water resources management which may become more complex with existence of uncertainty. To deal with this kind of problems, a novel risk programming model, CNTPS_CRI, was proposed in this paper. It was formulated through integrating two models: CVaR-based nonlinear stochastic programming model (CNTSP), and comprehensive risk index (CRI). The CNTSP...
We consider the problem of displaying advertisements on web pages in the "cost per click" model, which necessitates to learn the appeal of visitors for the different advertisements in order to maximize the revenue. In a realistic context, the advertisements have constraints such as a certain number of clicks to draw, as well as a lifetime. This problem is thus inherently dynamic, and intimately...
In this study, a multistage scenario-based inexact fuzzy-stochastic chance-constrained programming (MSIFSCCP) is proposed for water resources management under uncertainty. The developed a hybrid inexact optimization approach integrates multistage scenario-based interval-stochastic programming (MSISP), chance-constrained programming (CCP) and fuzzy-stochastic linear programming (FSLP) within a general...
Recent years have witnessed an obvious increase in cooperation between the public and private sectors for the development and operation of infrastructure for a wide range of economic activities. Public-private partnership (PPP) provides an alternative way of involving the private sector in the delivery of public services. PPP is not only a financing pattern in the area of government investment, but...
This paper deals with the selection of the best of a finite set of systems, where best is defined with respect to the maximum mean simulated performance. We extend the ideas of the knowledge gradient, which accounts for the expected value of one stage of simulation, by accounting for the future value of the option to simulate over multiple stages. We extend recent work on the economics of simulation,...
In December 2004, the bookbuilding method was introduced in the Chinese IPO market and the PE ratio restriction was abolished. The purpose of the study is to examine whether the IPO shares after reform are priced efficiently so that the different levels of underpricing can be explained rationally by economic variables for information asymmetry theory. The result of the study revealed that only a small...
In this study, an interval-parameter multi-stage stochastic chance-constrained mixed integer programming (IMSCMIP) method has been developed for inter-basin water resources management systems under uncertainty. By incorporating the chance-constrained programming (CCP) techniques, and mixed integer programming within an interval-parameter multi-stage stochastic programming framework, the model improves...
The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve...
With an increased focus on national security and public safety communications, the US Congress revisited its plan to reclaim television broadcaster frequencies to be reallocated and auctioned by the FCC and it specifically allocated a portion of that spectrum for use by public safety. The FCC was charged with the duty of auctioning this spectrum and licensing it to create a public safety network....
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