Results 31 to 40 of about 105,086 (297)
Fuzzy Granular Hyperplane Classifiers
IEEE Access, 2020 Granular computing has advantage of knowledge discovery for complex data. In the paper, we present Fuzzy Granular Hyperplane Classifiers (FGHCs) for data classification from a new angle of Granular Computing.
Wei Li +4 more
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Una comparación de algoritmos basados en trayectoria granular para el problema de localización y ruteo con flota heterogénea (LRPH) [PDF]
, 2017 Indexación: Scopus.We consider the Location-Routing Problem with Heterogeneous Fleet (LRPH) in which the goal is to determine the depots to be opened, the customers to be assigned to each open depot, and the corresponding routes fulfilling the demand of ...
Bernal-Moyano, J.A. +4 more
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A Novel Neighborhood Granular Meanshift Clustering Algorithm
Mathematics, 2022 The most popular algorithms used in unsupervised learning are clustering algorithms. Clustering algorithms are used to group samples into a number of classes or clusters based on the distances of the given sample features.
Qiangqiang Chen +5 more
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Mining top-k granular association rules for recommendation
, 2013 Recommender systems are important for e-commerce companies as well as researchers. Recently, granular association rules have been proposed for cold-start recommendation.
Min, Fan, Zhu, William
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Data granulation by the principles of uncertainty [PDF]
, 2015 Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets
Journal of Applied Mathematics, 2013 Covering is a widely used form of data structures. Covering-based rough set theory provides a systematic approach to this data. In this paper, graphs are connected with covering-based rough sets.
Shiping Wang +3 more
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Algorithms, 2020 Granular computing techniques are a huge discipline in which the basic component is to operate on groups of similar objects according to a fixed similarity measure. The first references to the granular computing can be seen in the works of Zadeh in fuzzy
Piotr Artiemjew
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UNCERTAINTY MANAGEMENT IN SEISMIC VULNERABILITY ASSESSMENT USING GRANULAR COMPUTING BASED ON COVERING OF UNIVERSE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Earthquake is an abrupt displacement of the earth's crust caused by the discharge of strain collected along faults or by volcanic eruptions. Earthquake as a recurring natural cataclysm has always been a matter of concern in Tehran, capital of Iran, as a ...
F. Khamespanah, M. R. Delavar, M. Zare
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Wind Power Prediction Based on a Hybrid Granular Chaotic Time Series Model
Frontiers in Energy Research, 2022 For realizing high-accuracy short-term wind power prediction, a hybrid model considering physical features of data is proposed in this paper, with consideration of chaotic analysis and granular computing.
Yanyang Wang +7 more
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Steady state properties of a mean field model of driven inelastic mixtures
, 2002 We investigate a Maxwell model of inelastic granular mixture under the influence of a stochastic driving and obtain its steady state properties in the context of classical kinetic theory.
A. Baldassarri +22 more
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