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Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification [PDF]
PeerJ Computer ScienceThe accuracy of most classification methods is significantly affected by missing values. Therefore, this study aimed to propose a data imputation method to handle missing values through the application of nearest neighbor data and fuzzy membership ...
Kurnia Muludi +3 more
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Horizontal membership function (HMF) for fuzzy membership function type with two parameters
Fuzzy Information and EngineeringMembership function (MF), also called vertical membership function (VMF), is an essential object of study in fuzzy concepts which models fuzzy sets using different sorts of data or fuzzy hypotheses.
Annisa Rahmita Soemarsono +2 more
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Remote Sensing, 2018 Because of the degradation of classification accuracy that is caused by the uncertainty of pixel class and classification decisions of high-resolution remote-sensing images, we proposed a supervised classification method that is based on an interval type-
Chunyan Wang, Aigong Xu, Xiaoli Li
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Ordered subalgebras of ordered BCI-algebras based on the MBJ-neutrosophic structure [PDF]
Neutrosophic Sets and Systems, 2023 The neutrosophic set consists of three fuzzy sets called true membership function, false membership function and indeterminate membership function.
Eunsuk Yang, Eun Hwan Roh, Young Bae Jun
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Roughness in Membership Continuous Function
مجلة المختار للعلوم, 2021 In this paper, we introduce the new definition of rough membership function using continuous function and we discuss several concepts and properties of rough continuous set value functions as new results on rough continuous function and membership ...
Faraj.A. Abdunani, Ahmed.A. Shletiet
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Fuzzy Geospatial Object-Based Membership Function Downscaling
Remote Sensing, 2023 The area-to-point kriging method (ATPK) is an important technology of downscaling without auxiliary information in remote sensing. However, it uses a constant semivariogram to downscale geospatial variables, which ignores the spatial heterogeneity ...
Yu Lin, Jifa Guo
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Methods for the Construction of Membership Functions [PDF]
International Journal of Intelligent Systems, 1999 Summary: In almost every work on fuzzy sets, the existence of membership functions taking part in the considered model is assumed and it is not studied in depth whether or not such functions exist. On the other hand, generally the relationship between a certain studied characteristic and its referential set is not problematic since it is usually a ...
Alejandro Sancho-Royo, José L. Verdegay
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Ranking Function to Solve a Fuzzy Multiple Objective Function
مجلة بغداد للعلوم, 2021 In this paper two ranking functions are employed to treat the fuzzy multiple objective (FMO) programming model, then using two kinds of membership function, the first one is trapezoidal fuzzy (TF) ordinary membership function, the second one is ...
Rasha Jalal Mitlif, Iden Hasan Hussein
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Rejection and symmetric difference of bipolar picture fuzzy graph
Demonstratio Mathematica, 2023 Due to the absence of a negative of three membership functions, there are drawbacks to the existing definition of a picture fuzzy graph (PFG). In that definition of bipolar picture fuzzy graph (BPFG), membership function, neutral membership function ...
Almousa Maha Mohammed, Tchier Fairouz
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A Fuzzy Support Vector Machine Based on New Membership Function [PDF]
Jisuanji gongcheng, 2016 Membership functions of traditional Fuzzy Support Vector Machine(FSVM) are mostly designed based on the distance between the samples and the class centers,which decrease the effect of support vectors.This paper combines two membership functions and ...
LIU Kaimin,WU Xiaojun
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