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EUSFLAT
2009
142views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Aggregation Operators for Conditional Crispness
Doretta Vivona, Maria Divari
EUSFLAT
2009
214views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Non-additive Robust Ordinal Regression with Choquet integral, Bipolar and Level Dependent Choquet integrals
Abstract-- Choquet integral has proved to be an effective aggregation model in multiple criteria decision analysis when interactions between criteria have to be taken into consider...
Silvia Angilella, Salvatore Greco, Benedetto Matar...
EUSFLAT
2009
138views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Choquet Integral Based Evaluations by Fuzzy Rules
Abstract-- Choquet-integral-based evaluation models are proposed. The evaluation parameters
Eiichiro Takahagi
ECIR
2009
Springer
13 years 2 months ago
Graded-Inclusion-Based Information Retrieval Systems
This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. In this framewor...
Patrick Bosc, Vincent Claveau, Olivier Pivert, Lau...
VTC
2010
IEEE
185views Communications» more  VTC 2010»
13 years 2 months ago
Fuzzy Logic Aided Dynamic Source Routing in Cross-Layer Operation Assisted Ad Hoc Networks
1The classic Dynamic Source Routing (DSR) protocol opts for the route requiring the lowest number of hops for transmitting data from the source to the destination. However, owing t...
Jing Zuo, Soon Xin Ng, Lajos Hanzo
RSCTC
2010
Springer
178views Fuzzy Logic» more  RSCTC 2010»
13 years 2 months ago
Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures
Automatic indexing of music instruments for multi-timbre sounds is challenging, especially when partials from different sources are overlapping with each other. Temporal features, ...
Xin Zhang, Wenxin Jiang, Zbigniew W. Ras, Rory A. ...
RSCTC
2010
Springer
155views Fuzzy Logic» more  RSCTC 2010»
13 years 2 months ago
A Fast Randomisation Test for Rule Significance
Randomisation is a method to test the statistical significance of a symbolic rule; it is, however, very expensive. In this paper we present a sequential randomisation test which d...
Ivo Düntsch, Günther Gediga
RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
13 years 2 months ago
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
FSKD
2010
Springer
205views Fuzzy Logic» more  FSKD 2010»
13 years 2 months ago
Research on spatial data mining based on uncertainty in Government GIS
Uncertainty is the intrinsic property of spatial data and one of important factors affecting the course of spatial data mining. There are diversiform forms for the essentiality an...
Bin Li, Lihong Shi, Jiping Liu