Results 31 to 40 of about 34,687 (147)
Dimensionality reduction method for hyperspectral image analysis based on rough set theory
High-dimensional features often cause computational complexity and dimensionality curse. Feature selection and feature extraction are the two mainstream methods for dimensionality reduction.
Zhenhua Wang +5 more
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Modeling of Social Transitions Using Intelligent Systems
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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Prediction of Heatwave Using Advanced Soft Computing Technique
At present, there is no suitable instrument available to simulate modeling the thermal performance of various areas of our states due to its complicated meteorological behavior.
Ratnakar Das +3 more
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This research was carried out to compare selected forecasting methods, such as the following: Artificial Neural Networks (ANNs), Classification and Regression Trees (CARTs), Chi-squared Automatic Interaction Detector (CHAID), Fuzzy Logic Toolbox (FUZZY),
Joanna Piotrowska-Woroniak +3 more
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Evaluating complex decision and predictive environments: the case of green supply chain flexibility
Supply chain flexibility is an important operations strategy dimension for organizations to achieve and maintain competitive advantage. With rising greener customer expectations and increasingly stringent environmental regulations, green supply chains ...
Chunguang Bai, Joseph Sarkis
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Rough Volterra equations 1: the algebraic integration setting [PDF]
We define and solve Volterra equations driven by an irregular signal, by means of a variant of the rough path theory called algebraic integration. In the Young case, that is for a driving signal with H\"older exponent greater than 1/2, we obtain a global
Deya, Aurélien, Tindel, Samy
core +5 more sources
Fire Control System Operation Status Assessment Based on Information Fusion: Case Study
In traditional fault diagnosis strategies, massive and disordered data cannot be utilized effectively. Furthermore, just a single parameter is used for fault diagnosis of a weapons fire control system, which might lead to uncertainty in the results. This
Yingshun Li, Aina Wang, Xiaojian Yi
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Enhanced Binary Cuckoo Search With Frequent Values and Rough Set Theory for Feature Selection
Redundant and irrelevant features in datasets decrease classification accuracy, and increase computational time of classification algorithms, overfitting problem and complexity of the underlying classification model.
Ahmed Alia, Adel Taweel
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Using optimisation techniques to granulise rough set partitions [PDF]
Rough set theory (RST) is concerned with the formal approximation of crisp sets and is a mathematical tool which deals with vagueness and uncertainty.
Crossingham, Bodie
core
Sentiment Analysis Techniques –Survey
Online social media platforms allow people to express their ideas and opinions about anything as products, education, or politics, this produce a huge data requires appropriate tools to analyze it accurately, and that’s why Sentiment Analysis (SA) has ...
Nobojh Mirzh, Zuhair Hussein Ali
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