[PDF] Top 20 Fuzzy nominal classification using bipolar analysis

... as nominal or non ordered classification problems as opposed to ordinal ...that classification procedures must be design up to some uncertainty degree (doubt, indecision, imprecision, ...on ... Voir le document complet

... Abstract. Nominal classification (NC) is a subfield of multi-criteria decision making where an object (in a broad sense) char- acterized by some attributes (with their valuation belonging to an ordered set, ... Voir le document complet

... as nominal or non ordered classification problems as opposed to ordinal classification in which case classes are ordered according to some desires of decision ...proposed fuzzy measure or ... Voir le document complet

... The fuzzy connectedness method has been applied by Moonis et ...a fuzzy connected object containing the seed points selected by the ...a fuzzy information fusion framework for brain tumor ... Voir le document complet

... The parameter values used to classify AT were kindly supplied by Dr. Decaestecker (Laboratory of Histology, Faculty of Medicine, Free University of Brussels, Belgium). They were generated by computer-assisted microscope ... Voir le document complet

... of fuzzy sets, we illustrate that adaptive neighborhoods are useful for image analysis, with texture classification as an ...formulation using mathematical ... Voir le document complet

... F-KM classification based on the top membership values resulted in better quality of clustering results based on both Jaccard and Rand indices when compared with the K-means method (Table ...the analysis of ... Voir le document complet

... of analysis results and the maintenance history operations are This paper proposes the use of the non-visible characteristics of oil analysis data to identify and cluster transformers with similar ... Voir le document complet

... decision analysis (MCDA) is known as “multiple criteria sorting problems” ...and nominal sorting problems ...treated using this problematic ...criteria classification problems” and is ... Voir le document complet

... above*mentioned classification and clustering based topic identification ...First, classification method requires that email messages be labeled before training the classification models, which is a ... Voir le document complet

... and analysis: Images were collected using several scanning laser confocal microscopes, including an Olympus Fluoview 1000, Ziess LSM 710, or Ziess LSM ...BC1B bipolar to unipolar transition was ... Voir le document complet

... Results analysis From the grid-based test over the combinations of numbers of fuzzy sets for C, N and O, we determined the best combination in terms of accuracy : respectively 5, 14 and 12 terms for C, N ... Voir le document complet

... like fuzzy clustering, FCA permits “soft clustering” in that a data element may belong to several classes – a property of the produced classi- fications which is essential for our task since verbs are highly ... Voir le document complet

... the classification of noisy data via quadratic discriminant analysis, taking into account the uncertainty on the instance values makes it possible to improve the classification accuracy, even when ... Voir le document complet

... a fuzzy classification method one of the second type of multicriteria ...the fuzzy classification method and we focalise on the PROAFTN algorithm developed in previous work ...the ... Voir le document complet

... 5. CONCLUSION In this paper, we have addressed the land cover mapping problem at very large scale (e.g., paneuropean). To do so, we have consid- ered as a baseline the popular scheme consisting of DAP feature ex- ... Voir le document complet

... construct fuzzy models from measured ...interval analysis is proposed to compute guaranteed estimates of suitable characteristics of the set of all values of the fuzzy parameter vector such that the ... Voir le document complet

... Key words: Big data, big data analytics, FIS, Fuzzy set, Crisp set. Résumé À l'ère du Big Data, nous sommes confrontés à un volume immense et à une grande vitesse de données avec des structures complexes. Les ... Voir le document complet

... Sentiment Analysis concerns the investiga- tion about how sentiment concepts have to be adapted with respect to the different domains in which they are ...Sentiment Analysis Challenge, we presented a system ... Voir le document complet

... against nominal antigens, a method based on the coupling of antigens onto the surface of fluorescent core polystyrene beads was ...various nominal antigens, including viral, vaccine, self and alloantigens, ... Voir le document complet