In this chapter we describe some basic concepts from fuzzy logic and how their applicability to Data Mining. First we discuss some basic terms from fuzzy set theory and fuzzy logic. Then, we provide examples that show how fuzzy sets and fuzzy logic can be applied best to discover knowledge ...
Klir, G., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, New Jersey (1995) MATH Google Scholar Lee, K.H.: First Course on Fuzzy Theory and Applications. Advances in Intelligent and Soft Computing, vol 27. Springer, Heidelberg (2005) Google Scholar Liu,...
This volume contains papers presented at the 13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing (RSFDGrC) held during June 25–27, 2011, at the National Research University Higher School of Economics (NRU HSE) in Moscow, Russia. RSFDGrC is a series of scientific eve...
Theme: Fuzzy rough sets Last update 15 June 2023 Category theory and fuzzy automata (199 p) Last update 30 May 2023 Theme Neurofuzzy methods, data and image processing (219 p.) Last update 15 May 2023 Uncertainty, Games and Decision (220 p.) ...
The direction taken in the course By knowledge modeling in the framework of fuzzy sets we introduce a new powerful basis for development of advanced information systems. It should be mentioned, that though lots of research has been done if fuzzy logic theory that has been much further developed...
The fuzzy sets of rules are independent from each other. Each dimension of data is tailored only for one rule6. In order to improve the precision, many optimization-based FCM models have been proposed combining with metaheuristic optimization algorithms, such as genetic algorithm(GA)7,8 and PSO...
The main goal of soft computing technologies (fuzzy logic, neural networks, fuzzy rule-based systems, data mining techniques) is to find and describe the structural patterns in the data in order to try to explain connections between data and on their basis create predictive or descriptive models...
In this study, fuzzy specific-rare itemsets contain useful information. Fuzzy specific-rare itemsets are sets of items that rarely occur in the database together. An example is described below where a set of learning problems, such as a student’s low quiz scores and homework scores, set ...
Fuzzy logic was first proposed by Lotfi Zadeh in a 1965 paper for the journalInformation and Control.In his paper, titled "Fuzzy Sets," Zadeh attempted to reflect the kind of data used in information processing and derived the elemental logical rules for this kind of set.1 "More often than...
Fuzzy sets. Information and control , vol. 8 (1965), pp. 338–353. Zadeh L. A.. Similarity relations and fuzzy orderings. Information sciences , ... J Goguen - 《Journal of Symbolic Logic》 被引量: 0发表: 1973年 A new approach to fuzzy-neural modeling Fuzzy sets. Information and co...