Results 21 to 30 of about 590,423 (257)
Adjoint Fuzzy Partition and Generalized Sampling Theorem [PDF]
A new notion of adjoint fuzzy partition is introduced and the reconstruction of a function from its F-transform components is analyzed.
Kreinovich, Vladik +2 more
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Clustering adalah metode yang membagi objek data ke dalam kelompok berdasarkan informasi yang ditemukan dalam data yang menggambarkan objek dan hubungan di antara mereka.
Max Teja Ajie Cipta Widiyanto
doaj +1 more source
Triangular Fuzzy Time Series for Two Factors High-order based on Interval Variations
Fuzzy time series (FTS) firstly introduced by Song and Chissom has been developed to forecast such as enrollment data, stock index, air pollution, etc. In forecasting FTS data several authors define universe of discourse using coefficient values with any
A. Nafis Haikal +4 more
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Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition [PDF]
This research paper introduces a novel statement for optimizing Tsukamoto fuzzy inference system. Suppose we are given some mathematical programming problem that will solve using Tsukamoto Fuzzy Inference System.
Ibbi, Hartono
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Performance comparison of fuzzy and non-fuzzy classification methods
In data clustering, partition based clustering algorithms are widely used clustering algorithms. Among various partition algorithms, fuzzy algorithms, Fuzzy c-Means (FCM), Gustafson–Kessel (GK) and non-fuzzy algorithm, k-means (KM) are most popular ...
B. Simhachalam, G. Ganesan
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Community Partition Algorithm Based on Fuzzy Clustering [PDF]
At present,most of the community partition algorithms divide the network into several independent associations.But for some real networks,the communities are not independent of each other.There is a common node among some communities,and most of the ...
SONG Li,XIE Gang,YANG Yunyun
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens.
Barbara Cardone, Ferdinando Di Martino
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Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
Assessment of Heart Disease using Fuzzy Classification Techniques
In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight.
Horia F. Pop, Tudor L. Pop, Costel Sarbu
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