Results 31 to 40 of about 590,423 (257)
The comparison of the fuzzy partition coefficient (FPC) for the selecting centers of FCM.
, 2022 The comparison of the fuzzy partition coefficient (FPC) for the selecting centers of FCM.
Zhenbo Cao (728918) +5 more
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InformationAnalyzing the uncertainty of outcomes based on estimates of the data’s membership degrees to fuzzy sets is essential for making decisions. These fuzzy sets are often designated by experts as strong fuzzy partitions of the data domain with trapezoidal ...
Barbara Cardone, Ferdinando Di Martino
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Fuzzy Clustering Algorithm with Histogram Based Initialization for Remotely Sensed Imagery
Advances in Electrical and Electronic Engineering, 2020 The paper presents histogram-based initialzation of Fuzzy C Means (FCM) clustering algorithm for remote sensing image analysis. The drawback of well known FCM clustering is sensitive to the choice of initial cluster centers.
Deepa Sharma, Jyoti Singhai
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Clustering stock price volatility using intuitionistic fuzzy sets [PDF]
, 2022 Clustering involves gathering a collection of objects into homogeneous groups or clusters, such that objects in the same cluster are more similar when compared to objects present in other groups.
Chountas, P., Urumov, G.
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A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams
Future Internet, 2022 Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed.
Barbara Cardone +2 more
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Logical Entropy of Fuzzy Dynamical Systems
Entropy, 2016 Recently the logical entropy was suggested by D. Ellerman (2013) as a new information measure. The present paper deals with studying logical entropy and logical mutual information and their properties in a fuzzy probability space.
Dagmar Markechová, Beloslav Riečan
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An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
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Applied Sciences, 2023 Many sentiment analysis methods have been proposed recently to evaluate, through the Web, the perceptions of users and their satisfaction with the use of products and services; these approaches have been applied in various fields in which it is necessary
Barbara Cardone +2 more
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen +13 more
wiley +1 more source