Fuzzy granulation-based wind speed prediction with multi-objective optimization [PDF]
Scientific ReportsAccurate wind power forecasting is essential for enhancing the integration of renewable energy sources, thereby supporting global decarbonization initiatives.
Chi Zhang, Jianzhou Wang, Zhiwu Li
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Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM. [PDF]
PLoS ONELivestock product prices serve as a barometer and bellwether for the agricultural market. However, traditional point prediction techniques focus mainly on tracking or fitting, resulting in limited information and challenges in evaluating the uncertainty ...
Weimin Ma +3 more
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Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making [PDF]
International Journal of Computational Intelligence Systems, 2011 The notion of semantic information granulation is explored to estimate the information specificity or generality of documents. Basically, a document is considered more specific than another document if it contains more cohesive domain-specific ...
Raymond Y.K. Lau +2 more
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A Diagnosis Method for Noise and Intermittent Faults in Analog Circuits Based on the Fusion of Multiscale Fuzzy Entropy Features and Amplitude Features [PDF]
SensorsIntermittent faults occur randomly, last for short durations, and ultimately lead to permanent failures, threatening the safety and stability of analog circuits.
Junyou Shi +4 more
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Optimal Granulation Selection Method Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets [PDF]
Jisuanji kexue, 2021 In order to obtain the optimal granulations after reduction from the intuitionistic hesitant fuzzy decision information system with multiple attributes,this paper deals with the uncertain information in this system from the perspective of multi-gra ...
XUE Zhan-ao, SUN Bing-xin, HOU Hao-dong, JING Meng-meng
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Two-Phase Information Granulation Combined with Interval Type-2 FRCM and Mixed Metrics [PDF]
Jisuanji gongcheng, 2021 To address the unevenly distributed complex data with crossed clusters, this paper proposes a two-phase information granulation algorithm based on the trusted granularity criterion, which combines Interval Type-2 Fuzzy C-Means(IT2FCM) clustering and ...
SHAO Lijie, MA Fumin
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Fuzzy information granules in time series data [PDF]
Int. J. Intell. Syst., 2004 Often, it is desirable to represent a set of time series through typical shapes in order to detect common patterns. The algorithm presented here compares pieces of a different time series in order to find such similar shapes. The use of a fuzzy clustering technique based on fuzzy c-means allows us to detect shapes that belong to a certain group of ...
HEIKO HOFER +5 more
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Support Vector Machine and Granular Computing Based Time Series Volatility Prediction
Journal of Robotics, 2022 With the development of information technology, a large amount of time-series data is generated and stored in the field of economic management, and the potential and valuable knowledge and information in the data can be mined to support management and ...
Yuan Yang, Xu Ma
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Fuzzy information granules in time series data [PDF]
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003 It is often desirable to summarize a set of time series through typical shapes in order to analyze them. The algorithm presented here compares pieces of different time series in order to find similar shapes. The use of a fuzzy clustering technique based on fuzzy c-means allows us to consider such subsets belonging to typical shapes with a degree of ...
Ortolani, Marco +4 more
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Polynomial Fuzzy Information Granule-Based Time Series Prediction
Mathematics, 2022 Fuzzy information granulation transfers the time series analysis from the numerical platform to the granular platform, which enables us to study the time series at a different granularity. In previous studies, each fuzzy information granule in a granular
Xiyang Yang +3 more
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