About this chapter Cite this chapter Olson, D.L., Delen, D. (2008). Fuzzy Sets in Data Mining. In: Advanced Data Mining Techniques. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76917-0_5 Down
(DCIFI)The 伪-level set of a fuzzy-valued functionThe Choquet extension of 渭Calculation of DCIFI The 伪-level set of a fuzzy-valued function The Choquet extension of 渭 Calculation of DCIFI Classification Model Based on the DCIFIFuzzy data classification by the DCIFIGA...
It classifies the set of data points X = (x1, x2, x3,…, xn) into c homogeneous groups or clusters represented as fuzzy sets, F = (F1, F2, F3,…, Fc). The objective is to obtain a ‘c’ partition by minimizing the criterion function:Jm(U,V:X)=∑i=1c∑k=1nμmd2ik(xk,...
This paper discusses the origin, current state of research and applications in the area of Data Mining (DM) of one extension of fuzzy sets and logic, called Intuitionistic Fuzzy Set (IFS) and Logics (IFLs). The first researches, related to IFLs started in 1983 together with the researches...
In: ICGEC’16: proceedings of the tenth international conference on genetic and evolutionary computing, pp 127–135 Négrevergne B, Dries A, Guns T, Nijssen S (2013) Dominance programming for itemset mining. In: ICDM’13: proceedings of the 13th international conference on data mining. IEEE ...
(TOPSIS) are integrated into a decision model. AHP, extended by the Pythagorean fuzzy set, is used to determine the weights of new conceptual design criteria in a big data environment. The Pythagorean fuzzy TOPSIS is used to prioritize alternative conceptual design solutions. The feasibility of ...
The Mamdani rule-based structure of the proposed model is identified based on FCM algorithm from data and by expert-system method from expert knowledge, both of which are combined by FN method. Particle swarm optimization (PSO) algorithm is utilized to optimize the fuzzy set parameters. We ...
Mining stock price using fuzzy rough set system作者: Highlights: • 摘要 In this study of mining stock price data, we attempt to predict the stronger rules of stock prices. To address this problem, we proposed an effective method, a fuzzy rough set system to predict a stock price at any...
Knowledge Representation, Semantic Web, Uncertainty and Fuzzy Logics, Description Logics, Logic Programming, Answer Set Programming, Symbolic and Neuro-Symbolic Machine Learning B. Vantaggi University of Rome La Sapienza, Roma, Italy Probability and statistics T. Vetterlein, PhD Johannes Kepler Universit...
In this paper, a data mining process to induce a set of fuzzy rules from a database is presented. This process is based on the construction of fuzzy decision trees. We present a method to construct fuzzy decision trees and a method to use them to classify new examples. In presence of ...