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Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 18th International C Marie-Jeanne Lesot,Susana Vieira,Rona

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發(fā)表于 2025-3-21 17:37:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information Processing and Management of Uncertainty in Knowledge-Based Systems
副標題18th International C
編輯Marie-Jeanne Lesot,Susana Vieira,Ronald R. Yager
視頻videohttp://file.papertrans.cn/466/465131/465131.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 18th International C Marie-Jeanne Lesot,Susana Vieira,Rona
描述.This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was?scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually...The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; ?XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery;
出版日期Conference proceedings 2020
關鍵詞artificial intelligence; computer networks; computer systems; computer vision; correlation analysis; data
版次1
doihttps://doi.org/10.1007/978-3-030-50153-2
isbn_softcover978-3-030-50152-5
isbn_ebook978-3-030-50153-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Conference proceedings 2020ncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was?scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually...The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organ
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1865-0929 ement of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was?scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually...The 173 papers were carefully reviewed and selected from 213 submissions. The papers
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Possibilistic Bounds for Granular Countinge complexity, and approximate granular counting, with linear time complexity. This paper extends approximate granular counting by computing bounds for exact granular count. In this way, the efficiency of approximate granular count is combined with certified bounds whose width can be adjusted in accordance to user needs.
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Laura Franzoi,Andrea Sgarro,Anca Dinu,Liviu P. Dinuer is first illustrated in great detail. Then a suite of fiber properties and their measuring methods are described. The pros and cons of each method are outlined. New methods to measure physical pro978-3-030-00871-0
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A Fuzzy Model for Interval-Valued Time Series Modeling and Application in Exchange Rate Forecastingries methods and alternative interval models employing statistical criteria for both, low and high exchange rate prices. The results show that fuzzy rule-based modeling approach developed in this paper outperforms the random walk, and other competitive approaches in out-of-sample interval-valued exc
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