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Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez
Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the...
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Daniel Zuluaga-Astudillo, Juan Carlos Ruge, Javier Camacho-Tauta, Oscar Reyes-Ortiz and Bernardo Caicedo-Hormaza
Diatoms are microscopic algae with a skeleton called a frustule, formed chiefly of silica, and are found in almost all aquatic environments and climatic conditions. Diatomaceous soils (DSs) originate from frustule sedimentation. In civil works (design an...
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Haiyu Gao, Hui Kang, Yaolei Zhang, Jiahao Wang, Wenzhi Lin, Peijun Zhang, Mingli Lin, Mingming Liu, Guangyi Fan and Songhai Li
The rough-toothed dolphin (Steno bredanensis), the single extant species of the genus Steno, inhabits tropical and subtropical oceans. It is an attractive species for studying aquatic adaptation and evolution. The latest advances in high-throughput seque...
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Wenbin Zheng, Jinjin Li and Shujiao Liao
Multi-label learning has become a hot topic in recent years, attracting scholars? attention, including applying the rough set model in multi-label learning. Exciting works that apply the rough set model into multi-label learning usually adapt the rough s...
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Vrushang Patel, Sheela Ramanna, Ketan Kotecha and Rahee Walambe
Text classification aims to assign labels to textual units such as documents, sentences and paragraphs. Some applications of text classification include sentiment classification and news categorization. In this paper, we present a soft computing techniqu...
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Peitao Wang, Cao Liu, Zhenwu Qi, Zhichao Liu and Meifeng Cai
The geometry of the joint determines the mechanical properties of the rock mass and is one of the key factors affecting the failure mode of surrounding rock masses. In this paper, a new rough discrete fractures network (RDFN) characterization method base...
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Wangwang Yan, Yan Chen, Jinlong Shi, Hualong Yu and Xibei Yang
Attribute reduction is commonly referred to as the key topic in researching rough set. Concerning the strategies for searching reduct, though various heuristics based forward greedy searchings have been developed, most of them were designed for pursuing ...
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Fedor Krasnov
Pág. 79 - 84
Visualization of multidimensional data is the most important stage of data research. Often, decisions on the further stages of the study are made from the flat view of the data based on "rough proportions". High visibility and persuasiveness of represent...
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Piotr Artiemjew
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...
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Krzysztof Ropiak and Piotr Artiemjew
The set of heuristics constituting the methods of deep learning has proved very efficient in complex problems of artificial intelligence such as pattern recognition, speech recognition, etc., solving them with better accuracy than previously applied meth...
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