Hu Yi-Chung,Chert Ruey-Shun.Finding fuzzy classification rules using data mining techniques.Pattern Recognition. 2003Y.-C. Hu, R.-S. Chen, and G.-H. Tzeng, "Finding fuzzy classification rules using data mining
Fuzzy techniques for big data Fuzzy hardware and architectures Fuzzy image, speech and signal processing Fuzzy Systems and the internet Soft computing Fuzzy application in multimedia Fuzzy application recognition and diagnostics Fuzzy application in vehicle Fuzzy Theory, Algorithm and System Mathematical fou...
data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making,...
DM consists of many up-to-date techniques such Conclusion The present paper aims to offer a new look on different aspects and procedures of Data Mining from the point of view of several types of intuitionistic fuzzy logics. In all the commented areas of Data Mining, we see the application...
Advanced Data Mining and Applications(ADMA 2005) Qingzhan Chen, Jianghong Han, Yungang Lai, Wenxiu He& Keji Mao Part of the book series:Lecture Notes in Computer Science((LNAI,volume 3584)) Included in the following conference series:
AHP and TOPSIS, due to their ease of computation, unlimited and flexible compatibility with other techniques, and their strong capabilities in analyzing complex decisions and dealing with multiple decision makers, the integrated AHP-TOPSIS approach can take full benefit of these advantages when faced ...
Numerical data based fuzzy models are not necessarily interpretable, but lots of them perform well in precision with the help of soft computing techniques. For example, artificial Neural network (ANN), inspired by neuroscience, is one of the most successful methods in “learning” from data. Mode...
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling. Sci. Total Environ. 644, 1006-1018. [24] Chen, W., Shahabi, H., Shirzadi, A., Li, T., Guo, C., Hong, H., Li...
Since there is no efficient solution for discovering rare itemsets, the existing algorithms and techniques are revised to tackle the problem of specific-rare pattern mining, especially for the purpose of detecting learning problems. In educational data, many attributes are recorded as quantitative data...
, 2004) and trend analysis are conducted to understand the role of input parameters in the model, the problem is still to be completely solved. Hybridization of ANN with other intelligent techniques can provide some solutions in this respect. 7.2.2 Fuzzy logic The foundation of fuzzy logic was...