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Titlebook: Advances in Computational Intelligence, Part III; 14th International C Salvatore Greco,Bernadette Bouchon-Meunier,Ronald Conference procee

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發(fā)表于 2025-3-21 17:20:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances in Computational Intelligence, Part III
期刊簡(jiǎn)稱(chēng)14th International C
影響因子2023Salvatore Greco,Bernadette Bouchon-Meunier,Ronald
視頻videohttp://file.papertrans.cn/148/147150/147150.mp4
發(fā)行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
學(xué)科分類(lèi)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Advances in Computational Intelligence, Part III; 14th International C Salvatore Greco,Bernadette Bouchon-Meunier,Ronald  Conference procee
影響因子These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012.The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and methodological aspects of soft computing; basic issues in rough sets; 40th anniversary of the measures of fuziness; SPS11 uncertainty in profiling systems and applications; handling uncertainty with copulas; formal methods to deal with uncertainty of many-valued events; linguistic summarization and description of data; fuzzy implications: theory and applications; sensing and data mining for teaching and learning; theory and applications of intuitionistic fuzzy sets; approximate aspects of data m
Pindex Conference proceedings 2012
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發(fā)表于 2025-3-21 22:14:53 | 只看該作者
Ryo Nishihara,Daniel Citterio,Koji Suzukifunction and it is expressed in terms of a two-dimensional F-transform where the first dimension represents the universe domain and the second dimension represents the membership domain. Operators on two dimensional F-transform are then proposed to approximate arithmetic operations with type 2 fuzzy numbers.
板凳
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Information Systems for Biosensing,etric approach previously developed by authors to solve some of these problems, specifically the portfolio selection problem by using BM&FBOVESPA data of some Brazilian securities and the economic dispatch problem, which schedules a power generation in an appropriate manner in order to satisfy the load demand.
地板
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https://doi.org/10.1007/978-0-387-77282-0untries. While we found large variances among the assessments per probability, very high consistency was found for the qualitative properties embedded in the series of assessments per assessor. The apparent robustness of these properties suggests the importance of enforcing them in a Bayesian network under construction.
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Conference proceedings 2012of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012.The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and
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https://doi.org/10.1007/978-1-0716-2473-9istic interpretations of fuzzy intervals, crisp substitutes thereof, and gradual numbers. This framework can encompass the comparison of fuzzy random variables: coupling one form of probabilistic comparison with one form of interval comparison induces a method for ranking random fuzzy intervals.
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