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Autor:
J.M. Daams
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
A new implication operator is proposed, based on fuzzy entailment. Using a kernel and new measures of distance between fuzzy sets, it generates a set of fuzzy conclusions of various degrees of plausibility, rather than a single fuzzy conclusion. This
Autor:
Jaroslav Ramík
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
This paper deals with the generalized quasi-concavity based on triangular norms (t-norms) and applied to membership functions of fuzzy sets in n-dimensional Euclidean space. Necessary and sufficient conditions for this type of generalized quasi-conca
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
Although fuzzy numbers (including fuzzy intervals) are often used to capture semantic ambiguity, they are also useful to represent and propagate measurement error. In this application, a classification scheme used by international authorities for ass
Autor:
A. Rybalov
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
The rules of a fuzzy system work as follows: as the input variable x increases, the result of the application of this rule at first increases, reaches a maximum and then decreases (as a consequence of the triangular, Gaussian, etc. shapes of fuzzy se
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
We propose an, approach to extend inductive logic programming (ILP) to cater for uncertainties in the form of probabilities and fuzzy sets. A corresponding decision tree induction algorithm that induces Fril (a support logic programming language) cla
Autor:
I.B. Turksen
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
Computing with words [Zadeh, 1995] is fundamental to our understanding the foundation of fuzzy theory. Naturally, there are a large variety of "words" that we need to recognize and utilize in our computational paradigms. However, descriptive and veri
Autor:
Thomas Whalen
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
The article examines the joint effects of the strength of a knowledge granule implemented as a fuzzy if-then rule under a parameterized R-implication, and the parameter of the implication. A novel implication operator, the quadratic R-implication, is
Autor:
Detlef Nauck
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
In real world data sets, we often have to deal with different kinds of variables. The data can be for example categorical or metric. Data mining methods can often deal with only one kind of data. Even when fuzzy systems are applied-which are not depe
Autor:
B. Shukhat
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
This paper is devoted to the problem of the cardinality of infinite fuzzy sets, i.e. sets having an infinite support. The approach is an attempt to extend the classical cardinality of infinite crisp sets to the fuzzy case both with accumulation of th
Autor:
G. Pasi, G. Bordogna
Publikováno v:
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
A method to automatically compute typical objects for a crisp object oriented database is proposed, in which typical objects are regarded as representatives of a fuzzy majority of the stored objects. A vector space model is adopted in which the objec