Fuzzy Modeling Fuzzy Modeling • Given desired i/o pairs (training data set) of the form (x1, ..., xn; y), construct a FIS to match the i/o pairs • Two steps in fuzzy modeling structure identification --- input selection, MF numbers parameter identification --- optimal parameters ...
This paper presents an improved system in the field of personality identification using Soft computing techniques. The model designed in this work analyzes the blogs or input text and classifies the personality into five major categories viz. Neuroticism, Extraversion, Openness, Conscientiousness and ...
Fuzzy systemAutomatic rule generationNeuro-fuzzy modelingIntroduction Neural networks have seen an explosion of interest over the last few years and are being... CLP Hui - 《Studies in Fuzziness & Soft Computing》 被引量: 20发表: 2011年 Complexity reduction and interpretability improvement for fuzzy...
This paper is basically focus to build the concrete concept of Soft computing technique especially for Fuzzy system theory and fuzzy model. The basic objective of Fuzzy system is to exploit the tolerance for Approximation, Uncertainty, Imprecision and Partial truth in order to achieve close ...
Chen, "Fuzzy system methods in modeling gene expression and analyzing protein networks," in Fuzzy Systems in Bioinformatics and Computational Biology, vol. 242 of Studies in Fuzziness and Soft Computing, pp. 165-189... S Zhang,RS Wang,XS Zhang,... - Springer Berlin Heidelberg 被引量: 3...
P. Singh, "Modeling academic performance evaluation using soft computing techniques: a fuzzy logic approach," International Journal on Computer Science and Engineering , pp. 676-686, 2011.Yadav, R.S., Singh, V.P.,"Modeling Academic Performance Evaluation Using Soft Computing Techniques: A Fuzzy ...
In summary, sci-FTS stands for the application of Soft Clustering on IMFs (Intrinsic Mode Functions) to be later used in the Fuzzy Time Series modeling. As theoretically demonstrated in [1], sci-FTS uses fuzzy clustering to address imprecision and uncertainty present in deterministic components ...
Soft Computing for Risk Evaluation and Management: Applications in Technology, Environment and Finance 1. Basic Issues.- Decision Making under Uncertainty with Ordinal Linguistic Data.- Modeling Risk in Sequential Decision Making with Interval Probabilities.- Fuzzy Risk Analysis Vs. Probability Risk Analys...
In subject area: Computer Science Fuzzy modeling is defined as an extension of classical logic that utilizes fuzzy set theory to create models with flexible decision boundaries, allowing for better adaptation to specific applications and accurate reflection of their characteristics. ...
Modeling, Control, and Applications LD Zhong - 《Studies in Fuzziness & Soft Computing》 被引量: 30发表: 2006年 Fuzzy modeling, stabilization and synchronization of multi-scroll chaotic systems A novel fuzzy control concept for stabilizing and synchronizing multi-scroll chaotic systems is presented in...