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» The Four Phase Method for Modelling Complex Systems
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IJCNN
2007
IEEE
15 years 4 months ago
A Constructive-Fuzzy System Modeling for Time Series Forecasting
— This paper suggests a constructive fuzzy system modeling for time series prediction. The model proposed is based on Takagi-Sugeno system and it comprises two phases. First, a f...
Ivette Luna, Secundino Soares, Rosangela Ballini
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
15 years 3 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
ASE
2008
120views more  ASE 2008»
14 years 9 months ago
Requirements model generation to support requirements elicitation: the Secure Tropos experience
In the last years several efforts have been devoted by researchers in the Requirements Engineering community to the development of methodologies for supporting designers during req...
Nadzeya Kiyavitskaya, Nicola Zannone
EMSOFT
2007
Springer
15 years 3 months ago
Methods for multi-dimensional robustness optimization in complex embedded systems
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Arne Hamann, Razvan Racu, Rolf Ernst
CDC
2009
IEEE
154views Control Systems» more  CDC 2009»
15 years 2 months ago
Structure-preserving model reduction of complex physical systems
— Port-based network modeling of complex physical systems naturally leads to port-Hamiltonian system models. This motivates the search for structure-preserving model reduction me...
Arjan van der Schaft, Rostyslav V. Polyuga