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Fuzzy partitioning with FID3.1
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397), 2003FID3.1 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), 2002The 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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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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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
1993In 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, 1993The 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), 2017This 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, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy objects in spaces with fuzzy partitions
Soft Computing, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiří Močkoř, Michal Holčapek
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Applying fuzzy logic to codesign partitioning
IEEE Micro, 1997We propose a tool that will allow designers using the codesign approach to partially automate the development of embedded systems. The framework takes advantage of tools already available on the market for VLSI CAD as well as soft computing techniques.
CATANIA, Vincenzo +2 more
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Evaluation of Fuzzy Partitions
Remote Sensing of Environment, 2000Abstract The aim of this study is the development of tools dedicated to fuzzy partition evaluation in the field of satellite image classification. While a traditional crisp partition only provides qualitative information, a fuzzy partition represents a large amount of quantitative information.
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