Titlebook: Computational Intelligence; Revised and Selected Kurosh Madani,António Dourado,Joaquim Filipe Conference proceedings 2013 Springer-Verlag B

Presbyopia

ANTI

Moshe Shaked,J. George Shanthikumar, which takes into account the structure and technical features of a digital substation and performs root-cause-analysis so as to identify the exact reason of a power system fault occurred in the monitored district. The Dempster/Shafer evidence theory has been employed to integrate different types o

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Multivariate Stochastic Orders, numerical domains or can get better results when working with discrete domains. The precision obtained with these techniques depends largely on the quality of the discretization performed. Moreover, in many real-world applications, data from which the discretization is carried out, are imprecise. I

certitude

Stochastic Convexity and Concavity,lticomponent images tend now to be widely used. To deal with, this paper proposes to describe usual noise reduction methods in the scope the fuzzy logic. The denoising process can be describe by a fuzzification step, some aggregations and a defuzzification step. To illustrate the concept, the bilate

廢墟

https://doi.org/10.1007/978-0-387-34675-5ing fuzzy expert logic that allows us to keep its complexity and at the same time to get crisp indicators that can be used to measure its status. The applied analysis refers to a country, Italy, that shows a high regional variability in health achievements related to the different diffusion and qual

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勉強

Multivariate Stochastic Orders,lized the estimation procedure of a simple regression model with triangular fuzzy numbers, into the space of which Diamond introduced a metrics, to the case of a multivariate model with an asymmetric intercept also fuzzy..In this paper we show under what conditions the sum of squares of the dependen

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