Results 11 to 20 of about 5,171 (264)

Conditional semi‐fuzzy c‐means clustering for imbalanced dataset

IET Image Processing, 2020
Fuzzy c‐means algorithms have been widely utilised in several areas such as image segmentation, pattern recognition and data mining. However, the related studies showed the limitations in facing imbalanced datasets. The maximum fuzzy boundary tends to be
Yunlong Gao, Chengyu Yang, Kuo‐Yi Lin, Jinyan Pan, Li Li   +4 more
doaj   +1 more source

Bipolar Fuzzy Relations

Mathematics, 2019
We introduce the concepts of a bipolar fuzzy reflexive, symmetric, and transitive relation. We study bipolar fuzzy analogues of many results concerning relationships between ordinary reflexive, symmetric, and transitive relations.
Jeong-Gon Lee, Kul Hur
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Fuzzy Divisive Hierarchical Associative-Clustering Applied to Different Varieties of White Wines According to Their Multi-Elemental Profiles

Molecules, 2020
Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data.
Ioana Feher, Dana Alina Magdas, Cezara Voica, Gabriela Cristea, Costel Sârbu   +4 more
doaj   +1 more source

Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning

Journal of Applied Mathematics, 2023
Fuzzy time series (FTS) is one of the forecasting methods that has been developed until now. The fuzzy time series is a forecasting method that uses the concept of fuzzy logic, which Song and Chissom first introduced.
Susilo Hariyanto, Y. D. Sumanto, Siti Khabibah, null Zaenurrohman   +3 more
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Triangular Fuzzy Time Series for Two Factors High-order based on Interval Variations

JTAM (Jurnal Teori dan Aplikasi Matematika), 2022
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, Etna Vianita, Muhammad Sam'an, Bayu Surarso, Susilo Hariyanto   +4 more
doaj   +1 more source

A Fuzzy Rule-Based GIS Framework to Partition an Urban System Based on Characteristics of Urban Greenery in Relation to the Urban Context

Applied Sciences, 2020
We present a Geographical Information System (GIS)-based framework implementing a Mamdani fuzzy rule-based system to partition in an unsupervised mode an urban system in urban green areas.
Barbara Cardone, Ferdinando Di Martino
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Preimage Problem Inspired by the F-Transform

Mathematics, 2022
In this article, we focus on discrete data processing. We propose to use the concept of closeness, which is less restrictive than a metric, to describe a certain relationship between objects.
Jiří Janeček, Irina Perfilieva
doaj   +1 more source

Community Partition Algorithm Based on Fuzzy Clustering [PDF]

Jisuanji gongcheng, 2016
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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Perrbandingan Validitas Fuzzy Clustering pada Fuzzy C - Means dan Particle Swarms Optimazation (PSO) pada Pengelompokan Kelas

JISKA (Jurnal Informatika Sunan Kalijaga), 2019
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
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Quadrature Rules for the F^m-Transform Polynomial Components

Axioms, 2022
The purpose of this paper is to reduce the complexity of computing the components of the integral Fm-transform, m≥0, whose analytic expressions include definite integrals.
Irina Perfilieva, Tam Pham, Petr Ferbas
doaj   +1 more source