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Titlebook: Novel Developments in Uncertainty Representation and Processing; Advances in Intuitio Krassimir T. Atanassov,Oscar Castillo,S?awomir Zad Co

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發(fā)表于 2025-3-21 18:58:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Novel Developments in Uncertainty Representation and Processing
副標(biāo)題Advances in Intuitio
編輯Krassimir T. Atanassov,Oscar Castillo,S?awomir Zad
視頻videohttp://file.papertrans.cn/669/668385/668385.mp4
概述Presents recent research in Uncertainty Representation and Processing.Proceedings of 14th International Conference on Intuitionistic Fuzzy Sets and Generalized Nets held October 26-28, 2015 in Cracow,
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Novel Developments in Uncertainty Representation and Processing; Advances in Intuitio Krassimir T. Atanassov,Oscar Castillo,S?awomir Zad Co
描述.This volume contains, first of all, the papers presented at the Fourteenth International Workshop on?Intuitionistic Fuzzy Sets and Generalized Nets? (IWIFSGN-2015) held on October 26-28, 2015 in Cracow, Poland. Moreover, the volume contains some papers of a particular relevance not presented at the Workshop. The Workshop is mainly devoted to the presentation of recent research results in the broadly perceived fields of intuitionistic fuzzy sets and generalized nets initiated by Professor Krassimir T. Atanassov whose constant inspiration and support is crucial for such a widespread growing popularity and recognition of these areas. The Workshop is a next edition of a series of the IWIFSGN Workshops organized for years by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria, and WIT -- Warsaw School of Information Technology, Warsaw, Poland, and co-organized by: Matej Bel University, Banska Bystrica, Slovakia, Universidad Publica de Navarra, Pamplona, Spain, Universidade de Tras-Os-Montes e Alto Douro, Vila Real, Portugal,? Prof. Asen Zlatarov University, Burgas,
出版日期Conference proceedings 2016
關(guān)鍵詞Intelligent Systems; Intuitionistic Fuzzy Sets; Generalized Nets; Uncertainty Representation; Uncertaint
版次1
doihttps://doi.org/10.1007/978-3-319-26211-6
isbn_softcover978-3-319-26210-9
isbn_ebook978-3-319-26211-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Paired Structures, Imprecision Types and Two-Level Knowledge Representation by Means of Opposites how different types of fuzziness may be introduced in these paired structures to model imprecision and lack of knowledge. As a consequence, we obtain a unifying framework for studying the relationships between different knowledge representation models and different kinds of uncertainty.
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Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Setn are modified according to the found index values, obtaining all antecedents in the process. Afterwards, the Cuckoo Search algorithm is used to optimize the Interval Sugeno consequents of the Fuzzy Inference System. Some sample datasets are used to measure the output interval coverage.
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Semi-properties of Atanassov Intuitionistic Fuzzy Relationstionistic fuzzy relations in the context of preservation of the given semi-properties of these relations are presented. The transformations that are considered: lattice operations, the converse, the complement, the composition of relations are the basic ones.
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2194-5357 ets and Generalized Nets held October 26-28, 2015 in Cracow,.This volume contains, first of all, the papers presented at the Fourteenth International Workshop on?Intuitionistic Fuzzy Sets and Generalized Nets? (IWIFSGN-2015) held on October 26-28, 2015 in Cracow, Poland. Moreover, the volume contain
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A Novel Similarity Measure Between Intuitionistic Fuzzy Sets for Constructing Intuitionistic Fuzzy Tused to compare the proposed similarity measure with other similarity measures and an application of the proposed similarity measure to clustering problem is considered. Preliminary conclusions are formulated.
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Novel Developments in Uncertainty Representation and Processing978-3-319-26211-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
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