Fuzzy classification

Ebook "Fuzzy classification of online customers" introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory and the combination of relational databases and fuzzy classification.

148p giangdongdinh 30-05-2024 4 2   Download

Ebook "Data mining with computational intelligence" includes content: Introduction, MLP neural networks for time series prediction and classification, fuzzy neural networks for bioinformatics, an improved RBF neural network classifier, an improved RBF neural network classifier, attribute importance ranking for data dimensionality reduction,...and other contents.

280p haojiubujain07 20-09-2023 5 3   Download

Data clustering is applied in various fields such as document classification, dental Xray image segmentation, medical image segmentation, etc. Especially, clustering algorithms are used in satellite image processing in many important application areas, including classification of vehicles participating in traffic, logistics, classification of satellite images to forecast droughts, floods, forest fire, etc.

15p vimulcahy 18-09-2023 2 2   Download

In this paper, we build an incremental algorithm to find the approximate reduct according to the combined filter-wrapper approach. Experimental results on a number of sample datasets show that the proposed incremental algorithm is more efficient than some other incremental algorithms following the filter approach in terms of the number of reductive set attributes and classification accuracy.

8p vineville 08-02-2023 6 2   Download

This paper presents an interpretable neural system—termed Evolving Long-term Cognitive Network—for pattern classification. The proposed model was inspired by Fuzzy Cognitive Maps, which are interpretable recurrent neural networks for modeling and simulation.

18p guernsey 28-12-2021 27 2   Download

Fuzzy rule-based classification systems have been applied to cope with these problems, mostly together with sampling techniques. In this paper, we define a new fuzzy association rule-based classifier, named FARCI, to tackle directly imbalanced classification problems.

15p guernsey 28-12-2021 12 0   Download

In this research, a fuzzy logic technique using greedy hill climbing feature selection methods was proposed for the classification of diabetes. A dataset of 520 patients from the Hospital of Sylhet in Bangladesh was used to train and evaluate the proposed classifier. Six classification criteria were considered to authenticate the results of the proposed classifier.

32p spiritedaway36 28-11-2021 7 1   Download

The objective of the thesis: Proposes filter-wrapper algorithms for fuzzy rough set based attribute reduction in decision tables to reduce the cardinality of reduct and increase significantly the classification accuracy.

28p extraenglish 24-05-2021 12 3   Download

In this research, a hybrid approach of fuzzy clustering and particle swarm optimization method based on semi-supervised method for remote sensing imagery analysis (SFCM-PSO) is proposed to overcome the above disadvantages.

16p trinhthamhodang1218 04-03-2021 13 1   Download

The first is the hybrid filterwrapper algorithm proposal for finding the reduction set of the decision table using advanced fuzzy distance measurements and other measurements basing on fuzzy rough set to minimize2 the number of attributes of reduction set. Reduce and improve the accuracy of the classification model.

26p capheviahe27 23-02-2021 25 3   Download

The paper depicts complete study about the second method with some proposed algorithms. It focuses mainly on binary classification with kNN and SVM for imbalanced data. Experiments and comparisons among related methods will confirm pros and coin of each method with respect to performance accuracy and time consumption.

20p viguam2711 11-01-2021 10 2   Download

Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases.

13p viconnecticut2711 28-10-2020 12 0   Download

The paper aims to improve the multi-label classification performance using the feature reduction technique. According to the determination of the dependency among features based on fuzzy rough relation, features with the highest dependency score will be retained in the reduction set.

8p tamynhan4 06-09-2020 4 1   Download

Proposing a model to classify by fuzzy decision trees and a method to select the feature training samples set for classification process. Recommending the linguistic value treatment method of inhomogeneous attributes based on hedge algebra. Proposing the algorithms by fuzzy decision tree in order to be effective in predicting and simple for users.

26p gaocaolon6 30-07-2020 31 2   Download

During last years, lots of the fuzzy rule based classifier (FRBC) design methods have been proposed to improve the classification accuracy and the interpretability of the proposed classification models. In view of that trend, genetic design methods of linguistic terms along with their (triangular and trapezoidal) fuzzy sets based semantics for FRBCs, using hedge algebras as the mathematical formalism, have been proposed.

18p 12120609 23-03-2020 26 2   Download

In this paper, we propose a fuzzy distance based attribute reduction method on the decision table with numerical attribute value domain. Experiments on data sets show that the proposed method is more efficient than the ones based on Shannon’s entropy on the executed time and the classification accuracy of reduct.

9p vitomato2711 11-03-2020 23 0   Download

In this paper we propose two ways to improve the accuracy of ECG signal recognition by filtering out the effect of the respiration in the ECG signal and by using the information of breathing stage as features in ECG signal classification. These approaches can improve the reliability and accuracy of the arrhythmia classification. As the classifier we use the modified neuro-fuzzy TSK network. The proposed solution will be tested with data from the MIT-BIH and the MGH/MF databases.

12p abcxyz123_02 03-03-2020 13 1   Download

This paper answers that question by presenting a fuzzy rule based classifier design method based on hedge algebras with a pure hedge algebras classification reasoning method. The experimental results over 17 real world datasets are compared to the existing methods based on hedge algebras and fuzzy sets theory showing that the proposed method is effective and produces good results.

14p vidonut2711 08-11-2019 16 1   Download

The contents of the document Fault diagnosis with computational intelligence: Part 1 present: computational intelligence methodologies in fault diagnosis, review and state of the art; a fuzzy logic approach to gas path diagnostics in Aero-engines; fault detection and isolation of industrial processes using optimized fuzzy models; a fuzzy classification technique applied to fault diagnosis; fuzzy-statistical reasoning in fault diagnosis.

190p lequangvinh1608 05-08-2019 25 3   Download

This paper proposed the cancer identification methods and evaluated them based on the computation time, classification accuracy and ability to reveal biologically meaningful gene information. This paper highlights the cancer gene identification using the Modified Fuzzy C-Means algorithm that is used efficiently in this work and examined with better results.

7p hongnhan878 12-04-2019 22 0   Download