Titlebook: ;

Forehead-Lift

不公开

Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers,ign can be formulated as an optimal linear regulator control problem; however, implementing the PSS requires designing estimators, increasing implementation complexity and reducing control system reliability. Therefore, this work seeks a control scheme that adopts only the desired state variable, fo

absolve

Obverse

A Rough Sets Approach to Human Resource Development in IT Corporations,A new research method is needed to quantify employees’ influence on building relationships with customers and to facilitate human resource and customer relationship management. Rough sets theory is a mathematical approach to dealing with vagueness and uncertainty. It can change a qualitative problem

alleviate

Environmental Applications of Granular Computing and Intelligent Systems,nmental phenomena is discussed. A granular prediction model of time series of a dust storm concentration is described. This example is used to explain the technique of information granulation of an environmental phenomenon. Then the issue of environmental management is discussed. Granular computing

manifestation

AVID

https://doi.org/10.1007/978-3-322-87725-3machines. It is closely related to Artificial Intelligence (AI) that aims at understanding human intelligence and its implementations in machines. Basic ideas of granular computing have appeared in AI under various names, including abstraction and reformulation, granularity, rough set theory, quotie

Infirm

Salvaging Strasberg at the Fin De Sièclearadigm is Rough-Granular Computing (Pedrycz et al. 2008, Stepaniuk 2008) (RGC, in short). The RGC methods have been successfully applied for solving complex problems in areas such as identification of behavioral patterns by autonomous systems, web mining, and sensor fusion. In RGC, an important rol

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