Recursive decision-making feedback extension (RDFE) for fuzzy scheduling scheme applied on electrical power control generation

Graciós-Marin, C.A.; Muñóz-Hernández, Germán Ardul; Díaz-Sánchez, A.; Nuno-de-la-Parra, P.; Estevez-Carreon, J.; Vega-Lebrúm, Carlos

doi:10.1016/j.ijepes.2009.01.008

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…By using fuzzy programming, they designed a recurring algorithm that makes obtaining the most efficient allocations simple. Gracios-Marin et al 6 have developed a hybrid genetic algorithm approach with fuzzy logic for decision-making that solves the economic dispatch problem with valve-point effects (control process in power generation systems). Kelkar and Bhat 7 use a fuzzy model based on historical resources and system data to allocate resource requirements based on a relational fuzzy model.…”

Section: State Of the Artmentioning

confidence: 99%

Simulations and fuzzy systems for resource reallocation

2013

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This paper presents a strategy that combines fuzzy logic and discrete event simulation to address the resource relocation problem. In any system with limited resources, the way in which said resources are distributed influences the quality of the services that can be provided. Making these decisions requires studying the various implications that increasing or distributing the resources has on the system. In this paper, we propose the combined use of simulation and fuzzy logic to determine a proper method for distributing resources. We have used the SIGHOS library to model a case involving a hospital process. The resource reallocation process can be monitored throughout the simulation, allowing for a study of the effects that increasing or distributing the resources has on the system.

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Section: State Of the Artmentioning

confidence: 99%

Simulations and fuzzy systems for resource reallocation

2013

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“…If this procedure is inserted as an algorithm developed in a C.A.D. platform, describing the structural and behavioral level of the system, then the computing time is difficult to reduce [9]. Munoz-Hernandez et al [10] have reported some novel schemes to describe efficiently, on size and computing time, the use of Graphical C.A.D.…”

Section: Fundamental Theorymentioning

confidence: 99%

“…There are several methods proposed to develop the description for the structural and behavior definition of each resource included in a typical manufacturing system. In this study, the method proposed by Gracios [9] was chosen to demonstrate the reduction of size and timing in the internal environment scheduling. The application of the method was developed by Lebano [12], the model is currently used for teaching and researching in postgraduate courses at the "Universidad Popular Autonoma del Estado de Puebla".…”

Section: Graphical Approachmentioning

confidence: 99%

Graphical Description of Soft Fault on Manufacturing Systems Using FDI Strategy: a SCL Approach

et al. 2012

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“…Figure 5 is the result of the scheduling strategy without the Fuzzy Filter, reported by Graciós et al(2009), however, figure 6 shows the "soften" result in the scheduling of the performance for the 4 turbo generator considering the Fuzzy Filter designed.…”

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confidence: 99%