Results 1 to 10 of about 1,141,336 (343)
A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements [PDF]
SensorsHigh concentrations of pollutants in urban areas generate cardiovascular and respiratory problems in citizens; these are aggravated by the persistence of summer heatwaves.
Barbara Cardone +3 more
doaj +2 more sources
Supervised fuzzy partitioning [PDF]
Pattern Recognition, 2020 Centroid-based methods including k-means and fuzzy c-means are known as effective and easy-to-implement approaches to clustering purposes in many applications. However, these algorithms cannot be directly applied to supervised tasks. This paper thus presents a generative model extending the centroid-based clustering approach to be applicable to ...
Pooya Ashtari +2 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Energy partitioning for “fuzzy” atoms [PDF]
The Journal of Chemical Physics, 2004 The total energy of a molecule is presented as a sum of one- and two-atomic energy components in terms of “fuzzy” atoms, i.e., such divisions of the three-dimensional physical space into atomic regions in which the regions assigned to the individual atoms have no sharp boundaries but exhibit a continuous transition from one to another.
Salvador Sedano, Pedro, Mayer, István
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source