Hierarchical fuzzy
WebA hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets [J]. Victoria Lopez, Alberto … Web7 de dez. de 2024 · Download PDF Abstract: A fuzzy opinion is a Gaussian fuzzy set with the center representing the opinion and the standard deviation representing the uncertainty about the opinion, and a fuzzy opinion network is a connection of a number of fuzzy opinions in a structured way. In this paper, we propose: (a) a top-down hierarchical …
Hierarchical fuzzy
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Web31 de dez. de 2024 · Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering Abstract: Financial time series are generally high-dimensional, nonstationary, and exhibit heteroscedasticity. To derive a suitable way to cluster financial time series, these characteristics have to be taken into consideration. Web12 de dez. de 2005 · Backpropagation-like approach is used to train the membership dunctions of hierarchical fuzzy neural networks and a time-varying learning rate is employed that is determined from input-output data and model structure. Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high accuracy. But …
Web1 de dez. de 1985 · This paper extends hierarchical analysis to the case where the participants are allowed to employ fuzzy ratios in place of exact ratios. If a person … Web4 de set. de 2024 · Hence, we propose a privacy-preserving hierarchical fuzzy neural network to address these technical challenges while also alleviating privacy concerns. The network is trained with a two-stage optimization algorithm, and the parameters at low levels of the hierarchy are learned with a scheme based on the well-known alternating direction …
Web1. The idea of hierarchical fuzzy logic control systems is to put the input variables into a collection of low-dimensional fuzzy logic control systems, instead of creating a single … Webapplied sciences Article An Integrated Risk Index Model Based on Hierarchical Fuzzy Logic for Underground Risk Assessment Muhammad Fayaz 1, Israr Ullah 1, Dong-Hwan Park 2, Kwangsoo Kim 2 and DoHyeun Kim 1,* 1 Department of Computer Engineering, Jeju National University, Jeju 63243, Korea; [email protected] (M.F.); …
Web15 de set. de 2009 · In this paper an original soft hierarchical Fuzzy Clustering algorithm is proposed, named Hierarchical Hyper-spherical Divisive Fuzzy C-Means (H2D-FCM), with the following characteristics: it generates a “soft” hierarchy in which a document can belong to several child clusters of a node, and the clusters in the same hierarchical level are …
Web27 de out. de 2024 · Once again, a dictionary could help. This article contains 12 tests to find addresses using fuzzy matching that could be useful for improving your algorithm. … one arm cloakWeb1 de dez. de 1985 · Fuzzy hierarchical analysis. ☆. This paper extends hierarchical analysis to the case where the participants are allowed to employ fuzzy ratios in place of … one arm crossbowWebA hierarchical fuzzy expert system (HFES) is developed using model information data. A risk scale of failure is developed, which will guide the operators of water networks to better manage their networks. The HFES model is used to assess a case study collected from a real municipal water network. one arm cold one arm warmWeb1 de out. de 2008 · A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The new method proposed determines the number of layer in … one arm corpsWeb4 de out. de 2024 · The approximation learning of fuzzy concepts associated with fuzzy rough sets and three-way decisions is a useful technology for the representation, learning, and transformation of uncertain knowledge. However, how to integrate the advantages of fuzzy rough approximations and three-way approximations has rarely been carefully … i saw the devil falling like a lightningWeb15 de dez. de 2013 · Moreover, hierarchical fuzzy TOPSIS does not have disadvantages of the pairwise comparisons among criteria, sub-criteria and alternatives. Therefore, this research proposes the fuzzy hierarchical TOPSIS for supplier selection and evaluation in detergent production industry, which overcome disadvantages of Chen [22] ’s fuzzy … one arm chin up vs one arm pull upWeb12 de abr. de 2024 · The consistency of the fuzzy judgment matrix was tested with Theorem 2 of the fuzzy hierarchical analysis method (Zhang, 2007). The indicator weights of each layer were calculated according to Formulas ( 2 ), ( 3 ), and ( 4 ), the total hierarchical ranking of indicator layer b was found, namely the weight w of indicator b on target layer … i saw the devil fshare