Results 31 to 40 of about 148,450 (186)

Spatially-averaged oscillatory flow over a rough bed [PDF]

, 2008
Peer reviewedPublisher ...
Coleman, Stephen E., Nikora, Vladimir I., Schlicke, Ted   +2 more
core   +1 more source

Increasing societal discomfort about a dominant restrictive planning discourse on open space in Flanders/Belgium [PDF]

, 2010
The specific spatial context in the densely urbanised northern part of Belgium, Flanders, offers a sort of laboratory conditions to study, design and plan fragments of open space in an urbanising context.
Allaert, Georges, Leinfelder, Hans
core   +1 more source

Computing fuzzy rough approximations in large scale information systems [PDF]

, 2014
Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan, Cornelis, Chris, De Cock, Martine, Srinivasan, Rajagopalan, Teredesai, Ankur, Tolentino, Matthew, Vasudevan, Gayathri, Verbiest, Nele   +7 more
core   +1 more source

Preference set-based design method for qualitative assessments using dominance-based rough set approach

Journal of Advanced Mechanical Design, Systems, and Manufacturing
The preference set-based design (PSD) method enhances design efficiency by providing an adjustment range that reflects the preferences of the designer in the quantitative design variables and performance.
Shotaro OYAMA, Takeo KATO
doaj   +1 more source

Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators [PDF]

, 2019
In the article we rst review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA.
Cornelis, Chris, Greco, Salvatore, Palangetić, Marko, Słowiński, Roman   +3 more
core   +2 more sources

The use of rough rules in the selection of topographic objects for generalizing geographical information

Polish Cartographical Review, 2020
Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification.
Fiedukowicz Anna
doaj   +1 more source

Can hierarchical predictive coding explain binocular rivalry? [PDF]

, 2021
Hohwy et al.’s (2008) model of binocular rivalry (BR) is taken as a classic illustration of predictive coding’s explanatory power. I revisit the account and show that it cannot explain the role of reward in BR.
Haas, Julia
core  

Risk assessment in tourism system using a fuzzy set and dominance-based rough set

Technological and Economic Development of Economy, 2016
The purpose of this study is to identify risks, discover rule base structure and the impact of risks by knowledge base system design in one of the Iran tourism destination.
Hassanali Faraji Sabokbar, Athareh Ayashi, Ali Hosseini, Audrius Banaitis, Nerija Banaitienė, Raziyeh Ayashi   +5 more
doaj   +1 more source

Planning urban pavement maintenance by a new interactive multiobjective optimization approach

European Transport Research Review, 2019
Pavement maintenance is essential to prevent the deterioration of asset value and to satisfy the expectations of all stakeholders (objectives). However, the budgets are often insufficient to keep the road pavement at optimum levels. Therefore, a decision
Maria Grazia Augeri, Salvatore Greco, Vittorio Nicolosi   +2 more
doaj   +1 more source

Polarizations of J/\psi and \psi' in hadroproduction at Tevatron in the k_t factorization approach

, 2001
We present a calculation for the polarizations of $J/\psi$ and $\psi'$ produced in the hadron collisions at the Fermilab Tevatron. Various color octet channels including ${}^1S_0^{(8)}$, ${}^3P_J^{(8)}$, and ${}^3S_1^{(8)}$ as well as contributions from $
B. A. Kniehl, C. Y. Wong, E. Braaten, E. Braaten, E. M. Levin, E. M. Levin, F. Abe, F. Abe, F. Abe, F. Abe, F. Yuan, F. Yuan, Feng Yuan, G. T. Bodwin, G. T. Bodwin, J. C. Collins, J. Kwiecinski, Kuang-Ta Chao, M. Beneke, M. Cacciari, M. G. Ryskin, M. G. Ryskin, P. Cho, P. Cho, P. Hägler, P. Hägler, P. Hägler, S. Catani, S. Catani, S. P. Baranov, S. P. Baranov, S. P. Baranov, T. Affolder   +32 more
core   +1 more source