Results 201 to 210 of about 28,445 (248)

Coarsening of fuzzy partitions

2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY), 2015
A vague partition U of a finite universal set X into c clusters, where each cluster is described by a fuzzy set on X, is considered. The concept of p-level sets [3] of fuzzy sets is extended to p-level matrices of fuzzy partitions. A method of gradual coarsening of U based on a sequence of p-level matrices derived from the membership grades of clusters
Slavka Bodjanova, Martin Kalina
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Fuzzy partitions and transformations

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
This paper is devoted to an interpretation of fuzzy sets on the basis of indistinguishability. Here we restrict to indistinguishability induced by tolerance bounds /spl epsiv/ that lead to identifying numbers whose difference is less than /spl epsiv/. We admit the modification of the ordinary distance by scaling functions.
F. Klawonn, R. Kruse
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Fuzzy partitioning with FID3.1

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397), 2003
FID3.1 builds fuzzy decision trees, with a range of choices for fuzzy operators and inferences. Various FID algorithms are being widely used for dealing with numeric and/or imprecise data, for fuzzy classification or for generating fuzzy rules. FID 3.0 adds a number of new features, the most important being a fuzzy partitioning mechanism construction ...
C.Z. Janikow, M. Fajfer
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Fuzzy information and optimal fuzzy partition

PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500), 2002
The paper is devoted to the problem of measuring fuzzy information. Based on the extension of crisp stochastical approaches into fuzzy cases a concept and measure of the fuzzy information are proposed. Aspects of transferring the fuzzy information through fuzzy controllers using different fuzzy control models are also studied which allow us to ...
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A fuzzy partitioning system

IEEE Micro, 1995
Our system uses fuzzy logic to bipartition cells in VLSI circuits. The system uses fuzzy logic principles to generate net and cell indices and a bottom-up clustering algorithm to produce the two-way partition. We tested our algorithm on eleven ISCAS89 benchmark circuits and compare its performance with that of other implementations.
K. Rao Valavala, M.A. Manzoul
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Fuzzy Sets and Fuzzy Partitions

1993
In this paper some connections between a characterization of fuzzy sets and a characterization of fuzzy partitions are explored. We extend the notion of α-level set and sharpness of fuzzy sets to fuzzy partitions. Then we define α-level equivalence and relation of sharpness on the set of all fuzzy partitions of a finite set of objects into k clusters ...
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Fuzzy partitions and fuzzy-quotient rings

Fuzzy Sets and Systems, 1993
The cosets of a fuzzy ideal \(M\) in a ring \(A\) form another ring \(A/M\), called the fuzzy-quotient ring of \(A\) by \(M\). We show that \(A/M\) is always a fuzzy partition of \(A\), and a fuzzy partition of \(A\) will be a fuzzy-quotient ring (with respect to some fuzzy ideal) if and only if its associated fuzzy similarity relation is compatible ...
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Modelling fuzzy partitions with fuzzy answer sets

2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017
This paper introduces a representation of fuzzy partitions in terms of fuzzy logic programming. This representation models relationships among the different classes that define the fuzzy partition. There are essentially two such relationships. The first one is that classes are disjoint and, therefore, contradictory each other; on the other hand, the ...
N. Madrid, M. Ojeda-Aciego
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Connectives for fuzzy partitions

Fuzzy Sets and Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy objects in spaces with fuzzy partitions

Soft Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiří Močkoř, Michal Holčapek
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