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172 455 (0,187s) •

Result

Value at Risk methodology of international index portfolio under soft conditions (fuzzy-stochastic approach)

) and vagueness sometimes called impreciseness, ambiguity, softness is modelled by fuzzy methodology. Thus, hybrid model is called fuzzy-stochastic model. Input data for fuzzy model are <...

AH - Ekonomie

  • 2005
    • •
  • Jx
Result

Distribution of fibre bundles in blended yarn

Stochastický model popisující nerovnoměrnost rozložení vláken v příčném řezu příze založený na hypergeometrickém rozložení pravděpodobnosti....

JJ - Ostatní materiály

  • 1999
    • •
  • D
Result

The Brownian Bridge Process

V článku se uvádí velice zajímavý stochastický proces, tzv. Brownův most.

BA - Obecná matematika

  • 2009
    • •
  • D
Result

New Results in Testing of Dynamic Characteristics of AD Modules

NOT available...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2000
    • •
  • D
Result

Kruhová základová deska - část 2, Statistická analýza interakce desky s podložím

Results of deterministic and stochastic solution of soilcicrcle foundation plate interaction are compared in this artickle. Variability of input data was restricted to geomechanical variables. Results showed that the scatter of soil significantly inf...

JM - Inženýrské stavitelství

  • 2008
    • •
  • Jx
Result

Insight into Fuzzy Modelling

The book provides detailed description of basic principles of fuzzy modeling methods based on the original results obtained in the Institute for Research and Applications of Fuzzy Modeling....

BA - Obecná matematika

  • 2016
    • •
  • B
Result

Fuzzy linear regression analysis

of the complex systems is fuzzy set theory. In the paper vague data as specialized fuzzy sets - fuzzy numbers are defined and it is described a fuzzy linear regression model technologies are discussed, th...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2013
    • •
  • D
    • •
  • Link
Result

Parameters optimization of fuzzy-neural dynamic model

In this paper we proposed a fuzzy neural network model which can embody a fuzzy Takagi-Sugeno model and curry out fuzzy inference and support structure of fuzzy. In the proposed fuzzy

IN - Informatika

  • 2004
    • •
  • D
Result

On Additive and Multiplicative Fuzzy Models

Fuzzy rules and inference mechanisms can be described by a system of fuzzy relation equations. A solution to a given system of fuzzy relation equations can serve us a proper model of fuzzy rules (fuzzy...

BA - Obecná matematika

  • 2007
    • •
  • D
Result

An Improvement of Non-Linear Neuro-Fuzzy Model Properties

A fuzzy neural network is constructed based on fuzzy model Takagi-Sugeno type. By learning of tne neural network we can tune of embedded initial fuzzy model. To show the applicability of new method and to ...

JB - Senzory, čidla, měření a regulace

  • 2001
    • •
  • Jx
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