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Entropy of Fuzzy Partitions and Entropy of Fuzzy Dynamical Systems
Entropy, 2016 In the paper we define three kinds of entropy of a fuzzy dynamical system using different entropies of fuzzy partitions. It is shown that different definitions of the entropy of fuzzy partitions lead to different notions of entropies of fuzzy dynamical ...
Dagmar Markechová, Beloslav Riečan
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An improved fuzzy clustering image segmentation algorithm combining spatial information
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU +4 more
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Neutrosophic Fuzzy Threshold Graph [PDF]
Neutrosophic Sets and Systems, 2021 The aim of this paper is to introduce the extension of intuitionistic fuzzy threshold graph to Neutrosophic field of approach. A new structure called Neutrosophic fuzzy threshold graph (NFTG) have been portrayed and the Neutrosophic fuzzy alternating 4 ...
V. Keerthika, M. Gomathi
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Jurnal Matematika UNAND, 2021 Analisis Klaster (cluster analisis) memiliki tujuan untuk mengelompokkan objek-objek berdasarkan karakteristik yang dimiliki. Pengelompokan dengan analisis klaster dibagi menjadi dua metode yaitu metode berhirarki dan metode tak berhirarki.
WIDYA WIJAYANTI +2 more
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IET Generation, Transmission & Distribution, 2023 Peak‐valley period partition of load curve is a key aspect of time‐of‐use (ToU) tariff to improve power load characteristics, such as shifting peak loads towards valley time periods.
Peng Wang +3 more
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A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data
JOIV: International Journal on Informatics Visualization, 2021 Clustering is a process of grouping a set of objects into multiple clusters, so that the collection of similar objects will be grouped into the same cluster and dissimilar objects will be grouped into other clusters.
Iwan Tri Riyadi Yanto +3 more
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Fuzzy 2-partition entropy threshold selection based on Big Bang–Big Crunch Optimization algorithm
Egyptian Informatics Journal, 2015 The fuzzy 2-partition entropy approach has been widely used to select threshold value for image segmenting. This approach used two parameterized fuzzy membership functions to form a fuzzy 2-partition of the image.
Baljit Singh Khehra +2 more
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REGULAR PARTIAL DOMATIC NUMBER ON ANTI FUZZY GRAPHS [PDF]
Journal of Mechanics of Continua and Mathematical SciencesAG = (N, A, σ, μ) be a anti fuzzy graph. A partition of N(AG) Π = {D1, D2, …., Dk} is a regular anti fuzzy partial domatic partition of AG if (i) for each Di, < Di > is an anti fuzzy regular and (ii) Di is an anti fuzzy dominating set of GA.
Rengasamy Muthuraj +2 more
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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 +4 more
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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
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