Results 21 to 30 of about 3,244 (195)
Automatic generation of fuzzy classification rules using granulation-based adaptive clustering [PDF]
, 2015 A central problem of fuzzy modelling is the generation of fuzzy rules that fit the data to the highest possible extent. In this study, we present a method for automatic generation of fuzzy rules from data. The main advantage of the proposed method is its
Abbod, MF, Al-Shammaa, M
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A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform [PDF]
, 2015 This is a copy of the author's final draft version of an article published in the journal Soft computing.The reliability of peers is very important for safe communication in peer-to-peer (P2P) systems.
Barolli, Leonard +5 more
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Granular Classification for Imbalanced Datasets: A Minkowski Distance-Based Method
Algorithms, 2021 The problem of classification for imbalanced datasets is frequently encountered in practical applications. The data to be classified in this problem are skewed, i.e., the samples of one class (the minority class) are much less than those of other classes
Chen Fu, Jianhua Yang
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Texture analysis as a tool to study the kinetics of wet agglomeration processes [PDF]
, 2015 In this work wet granulation experiments were carried out in a planetary mixer with the aim to develop a novel analytical tool based on surface texture analysis.
Codemo, Carlo +5 more
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Geo-spatial Information Science, 2022 It is well agreed that geologic risk occurs during hydrocarbon exploration because diverse uncertainties accompany the entire hydrocarbon system parameters such as the source rock, reservoir rock, trap and seal rock.
Sahand Seraj, Mahmoud Reza Delavar
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IEEE Access, 2020 A set-valued information system (SVIS) with missing values is known as an incomplete set-valued information system (ISVIS). This article focuses on studying uncertainty measurement for an ISVIS and the optimal selection of subsystems by means of Gaussian
Lijun Chen +5 more
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Fuzzy Information and Engineering, 2016 Information granularity and hierarchical structures in granular computing are the two main aspects for investigating the uncertainty and structure of all types of granular spaces.
Bing Huang +3 more
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Improved Spatial Information Based Semisupervised Classification of Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Motivation in the use of semisupervised learning method is because of its ability to strategically explore and use abundantly available unlabeled samples along with the limited number of labeled samples, as seen in the remote sensing (RS) imagery.
Neeta S. Kothari +2 more
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Iterative Information Granulation for Novelty Detection in Complex Datasets [PDF]
, 2016 Recognition memory in a number of mammals is usually utilised to identify novel objects that violate model predictions. In humans in particular, the recognition of novel objects is foremost associated to their ability to group objects that are highly ...
Panoutsos, G., Rubio-Solis, A.
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Modeling of Social Transitions Using Intelligent Systems
, 2008 In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neruo-Fuzzy Inference System and Rough Set Theory (RST),called SONFIS and ...
Owladeghaffari, Hamed +2 more
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