[PDF] Top 20 A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY RULE-BASED CLASSIFICATION SYSTEMS
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A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY RULE-BASED CLASSIFICATION SYSTEMS
... novel clustering-based method for modeling accurate fuzzy rule-based classification ...The new method is a combination of a data mapping method, subtractive ... See full document
11
Fuzzy Classification Based On Fuzzy Association Rule Mining
... Associative classification is another approach that constructs classifier heuristically based on association rules [Liu ...A rule is frequent means that the percentage of the given data that ... See full document
129
Individual Classification: an Ontological Fuzzy Based Approach
... Control Systems collect data, such as temperature and pressure of gas and oil pipes, for example, to be classified as safe situations or ...not. Based on this classification appropriate decisions can ... See full document
12
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E learning
... discovering new pattern from large data ...namely clustering, classification & association rule to find the best combination of ...combined approach with result obtained using only ... See full document
8
An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis
... enables modeling and minimizing the effect of uncertainties present in rule- based fuzzy inference ...type-2 fuzzy sets ...type-2 fuzzy sets represented by an upper and a lower ... See full document
5
Identification of Evolving Rule based Models
... Abstract—An approach to identification of evolving fuzzy rule-based (eR) models is proposed in this ...the rule-base structure and parameters by incremental unsupervised ...The ... See full document
11
A new fuzzy set merging technique using inclusion based fuzzy clustering
... inclusion-based fuzzy clus- tering algorithm from Section II-B, we can now sketch the fuzzy modeling and simplification approach based on the proposed merging ...The ... See full document
18
Proposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
... one approach (to construct a rule-base) is to consider all possible combinations of antecedent to generate the fuzzy ...14 fuzzy sets shown in Figure 4 and “don’t care” can be used when ... See full document
9
Fuzzy Rule based Novel Approach to Spam Filtering
... text based clustering method for spam ...of classification, vector space model, and data reduction are the methodologies used for spam ...partition clustering algorithms are used for ... See full document
8
A Massively Parallel Deep Rule Based Ensemble Classifier for Remote Sensing Scenes
... a new approach for remote sensing scene classification by creating an ensemble of the recently introduced massively parallel deep (fuzzy) rule-based (DRB) classifiers trained ... See full document
5
Knowledge-based Systems and Interestingness Measures: Analysis with Clinical Datasets
... Probabilistic classification, associative classifi- cation, neural networks, decision trees are ex- amples for the former, and clustering is a clas- sical example for the ...generating classification ... See full document
14
A New Hybrid Approach for Modeling Accurate Fuzzy Rule Based Classification Systems
... geometric based algorithm is employed for mapping the data into a 2-dimensional space ...a new representation of data that optimally preserves local neighborhood informa- tion in a certain ...computing ... See full document
12
Online Full Text
... of classification on two ...models based on fuzzy ...a classification over the probabilities space in order to adjust the ...Bayes rule, whereas the discriminative one (SVM in our case) ... See full document
6
Multi Document Summarization Using K Medoids Clustering Approach
... files. Clustering and topic modeling is applied on the dataset to generate ...text clustering technique, similar documents will be grouped under a ...topic modeling. Topic modeling is ... See full document
5
Software Quality Prediction using Fuzzy Rule based System
... Idri et al., 2001; Idri ., 2004) (Bhattacherjee , 2006; Viraj and ., 2008; Bhattacherjee et . In this research paper a fuzzy logic system for software quality prediction has been developed. Further this ... See full document
5
Optimizing Hyper Parameters for Improved Diabetes Prediction
... These “drawbacks” are identified by gradients, while in Ada Boost they are identified by high-weight data points. A weak learner has a performance slightly better than average but it can be improved. In gradient boosting ... See full document
6
3D Scene and Object Classification Based on Information Complexity of Depth Data
... Shannon approach that assumes the objects are made by a known random source and represent entropy as average information, the algorithmic information theory represents objects as a symbol strings and defines the ... See full document
8
Simulating Civil Disorder:AnAgent-based Modeling Approach
... Given these findings one potential policing strategy might be to control access to certain parts of the crowd during public demonstrations so that the most aggressive activists are spatially segregated from the larger ... See full document
12
DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN
... The THD and the Current ripple calculated from each method have been tabulated in Table 1. From the table, we can infer that the current ripple can be reduced efficiently by the reconfiguration of the fuzzy ... See full document
8
Deep Rule Based Aerial Scene Classifier using High Level Ensemble Feature Descriptor
... a new deep rule-based (DRB) approach using an ensemble of high-level feature descriptors for aerial scene classification is ...DRB approach is able to produce highly accurate ... See full document
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