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A Definition for Hesitant fuzzy Partitions [PDF]
International Journal of Computational Intelligence Systems, 2016 In this paper, we define hesitant fuzzy partitions (H-fuzzy partitions) to consider the results of standard fuzzy clustering family (e.g. fuzzy c-means and intuitionistic fuzzy c-means).
Laya Aliahmadipour +3 more
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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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A hybrid fuzzy–ensemble method for time series forecasting [PDF]
Scientific ReportsThis study proposes a rule-free hybrid forecasting framework that integrates type-1 fuzzy function modeling with ensemble regression via random forests. The proposed hybrid fuzzy–ensemble model first constructs lagged representations of a univariate time
Ali Zafer Dalar
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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
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FUZZY-GENETIC CONTROL OF QUADROTOR UNMANNED AERIAL VEHICLES [PDF]
Interdisciplinary Description of Complex Systems, 2016 This article presents a novel fuzzy identification method for dynamic modelling of quadrotor unmanned aerial vehicles. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for ...
Attila Nemes
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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
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IEEE Transactions on Quantum Engineering, 2023 It is important for the design of a distributed quantum circuit (DQC) to minimize the communication cost in k-way balanced partitioning. In this article, given an original quantum circuit (QC), a partitioning number k, the maximum capacity δ ...
Jin-Tai Yan
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R-Norm Entropy and R-Norm Divergence in Fuzzy Probability Spaces
Entropy, 2018 In the presented article, we define the R-norm entropy and the conditional R-norm entropy of partitions of a given fuzzy probability space and study the properties of the suggested entropy measures.
Dagmar Markechová +2 more
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Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD [PDF]
International Journal of Computational Intelligence Systems, 2012 The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm
C.J. Carmona +3 more
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Energies, 2023 A dynamic fuzzy neural network for short-term load forecasting of the Greek power system is proposed, and an hourly based prediction for the whole year is performed.
George Kandilogiannakis +3 more
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