Fuzzy Entropy
Refined multiscale fuzzy entropy to analyse post exercise cardiovascular response in older adults with orthostatic intolerance
... diverse entropy definitions, fractal dimensions or fuzzy logic techniques, among ...classical entropy and physiologic complexity concepts do not have a straightforward correspondence, as other ...
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New Fuzzy Entropy Measure of Order α
... These measures among many others developed the generalized fuzzy entropy measures, interesting applications and related entropy measures can be found in Gurdialet. al.(2001), Pal and Bezdek(1994), Hu ...
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A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents
... and Fuzzy Entropy, in this article a new feature selection method called Intuitionistic Fuzzy Entropy-Feature Selection (IFE-FS) is proposed for text ...intuitionistic fuzzy ...
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A Fuzzy Entropy Algorithm For Data Extrapolation In Multi-Compressor System
... of fuzzy entropy. Fuzzy entropy has been used to extrapolate the data pertaining to the compressor ...using fuzzy entropy has been tested on a multi-compressor system for ...
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Estimation of SSVEP based EEG complexity using inherent fuzzy entropy
... by fuzzy entropy measurement and repetitive steady-state visual evoked potential (SSVEP) ...Inherent Fuzzy Entropy (IFE) algorithm, and relative complexity (RC) was defined the difference ...
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Cloud Service Selection for Dynamic QoS and Fuzzy Entropy Weight TOPSIS
... of fuzzy entropy weight decision-making fusion is designed in this paper, which can calculation weight for real-time attribute by using entropy, realize distinction between characteristics of each ...
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On Intuitionistic Fuzzy Entropy as Cost Function in Image Denoising
... In this paper, we proposed an algorithm to find the optimal threshold value for denoising an image. In order to find the op- timal threshold value to denoising an image, a new cost func- tion is designed which is the ...
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A Dual Fuzzy Entropy Model for QoS Routing in MANET
... and Fuzzy routing, there exists a technical drawback in these ...nodes. Entropy based solutions finds the best path depending upon the probability of performance generated from the history of the nodes but ...
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An Improved Method on Non subsampled Contourlet Transform Ultrasonic Image Denoising
... intuitionistic fuzzy entropy theory is applied to the denoising of high-frequency coefficients of the NSCT ...intuitionistic fuzzy entropy is proposed, and the corresponding noise suppression ...
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1. Optimal feature selection algorithm for high dimensional data sets using particle swarm optimization
... ineffective. Fuzzy entropy enables the partition of the input space into decision regions in order to select appropriate features with good seperability for the classification ...on Fuzzy ...
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Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images
... local entropy information of the image can be used to solve over-enhanced and under- enhanced image ...higher entropy indicates the presence of higher details in the image ...multiscale fuzzy ...
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Research on settlement particle recognition based on fuzzy comprehensive evaluation method
... of fuzzy partitions changes, the dependence relation of the front and back terms in the fuzzy entropy formula is also changed ...the fuzzy N division with higher segmentation precision and a ...
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Image Segmentation with Fuzzy Clustering Based on Generalized Entropy
... weighted fuzzy factor to improve ...studied entropy based fuzzy clustering ...combined entropy with fuzzy clustering method, and proposed fuzzy clustering based on ...of ...
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An intuitionistic fuzzy diagnosis analytics for stroke disease
... Intuitionistic Fuzzy Based Decision Tree in order to diagnosis the different types of stroke ...Intuitionistic Fuzzy is cal- culated using Hamming Distance as main requirement for Intuitionistic ...
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Research on Fuzzy C Means Algorithm Based on the Information Entropy
... the Fuzzy C-Means (FCM) algorithm, a new improved FCM algorithm based on the information entropy has been proposed in this ...the entropy evaluation method is used to measure the varying degree of ...
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A local approach to the entropy of countable fuzzy partitions
... the entropy of a countable partition of a fuzzy dynamical sys- tem at different points of the state ...local fuzzy entropy of a fuzzy dynamical system and proves it to be an isomorphism ...
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Some New Trigonometric α-Order Fuzzy Entropies
... trigonometric fuzzy entropies are proposed and the fuzzy entropy axiomatic requirements are satisfied for the new fuzzy ...new fuzzy entropies is done with several widely used ...
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Entropy Measure of Temporal Intuitionistic Fuzzy Sets
... and entropy of fuzzy sets and IFSs gained importance since their introduction by Zadeh [12] and Atanassov [1] ...The entropy of IFSs measures the degree of fuzziness of the IFSs due to imperfect ...
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A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets
... of fuzzy sets [3]. Fuzzy entropy is one of the most important methods to measure the degree of disorder in fuzzy sets, and knowledge measure is one of the most important bases for measuring ...
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Ant Possibilistic Fuzzy Clustered Forecasting on High Dimensional Data
... ABSTRACT: Stock market plays a significant role and has greater influence on basic economic energies of a country. Rapid changes in the stock exchange market with high dimensional uncertain data make the investors to ...
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