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Intelligent and fuzzy systems = inte...

International Conference on Intelligent and Fuzzy Systems (2023 :)

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Intelligent and fuzzy systems = intelligence and sustainable future proceedings of the INFUS 2023 Conference.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent and fuzzy systems/ edited by Cengiz Kahraman ... [et al.].
其他題名:	intelligence and sustainable future proceedings of the INFUS 2023 Conference.
其他題名:	INFUS 2023
其他作者:	Kahraman, Cengiz.
團體作者:	International Conference on Intelligent and Fuzzy Systems
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xvii, 833 p. :ill. (some col.), digital ;24 cm.
內容註:	Contextual bipolar database queries: a conjunctive and disjunctive perspective -- Intuitionistic Fuzzy Modal Topological Structures Based on Two New Intuitionistic Fuzzy Modal Operators -- Multi-Scale Dimensionality Reduction with F-Transforms in Time Series Analysis -- Mathematics, Scientiﬁc Reasoning and Fuzzy Logic -- Optimal transport and the Wasserstein distance for fuzzy measures: an example -- Some Properties of a New Concept of Fractional Derivative for Fuzzy Functions on Time Scales -- On monotonic function method for generating fuzzy similarity measures -- Regularity and Paracompactness in Fuzzy Topological Spaces -- Fuzzy Threshold Aggregation -- A Novel Bivariate Elliptic Fuzzy Membership Function: A Modeling and Decision-Making Tool for Bike Sharing -- Cryptography Based on Fuzzy Graphs -- Aggregating distances with uncertainty: the modular (pseudo-)metric case -- Peterson's Rules based on Grades for Fuzzy Logical Syllogisms -- A new construction of uninorms in bounded lattices derived from t-normsand t-conorms -- Aggregation Operators for Face Recognition -- First-Order Representations and Calculi of Categorical Propositions -- Properties of general extensional fuzzy cuts -- Reverse order Pentagonal Fuzzy Numbers and its application in Game Problems -- Similarity Analysis of Means-End Chain Models -- Unfolding Computational Graphs for Dynamic Planning under Uncertainty -- Strong Connectivity Deﬁnition of Periodic Fuzzy Graph.
Contained By:	Springer Nature eBook
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-39774-5
ISBN:	9783031397745

Intelligent and fuzzy systems = intelligence and sustainable future proceedings of the INFUS 2023 Conference.. Volume 1 /
Intelligent and fuzzy systemsintelligence and sustainable future proceedings of the INFUS 2023 Conference.Volume 1 /[electronic resource] :INFUS 2023edited by Cengiz Kahraman ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xvii, 833 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,7582367-3389 ;. - Lecture notes in networks and systems ;758..

Contextual bipolar database queries: a conjunctive and disjunctive perspective -- Intuitionistic Fuzzy Modal Topological Structures Based on Two New Intuitionistic Fuzzy Modal Operators -- Multi-Scale Dimensionality Reduction with F-Transforms in Time Series Analysis -- Mathematics, Scientiﬁc Reasoning and Fuzzy Logic -- Optimal transport and the Wasserstein distance for fuzzy measures: an example -- Some Properties of a New Concept of Fractional Derivative for Fuzzy Functions on Time Scales -- On monotonic function method for generating fuzzy similarity measures -- Regularity and Paracompactness in Fuzzy Topological Spaces -- Fuzzy Threshold Aggregation -- A Novel Bivariate Elliptic Fuzzy Membership Function: A Modeling and Decision-Making Tool for Bike Sharing -- Cryptography Based on Fuzzy Graphs -- Aggregating distances with uncertainty: the modular (pseudo-)metric case -- Peterson's Rules based on Grades for Fuzzy Logical Syllogisms -- A new construction of uninorms in bounded lattices derived from t-normsand t-conorms -- Aggregation Operators for Face Recognition -- First-Order Representations and Calculi of Categorical Propositions -- Properties of general extensional fuzzy cuts -- Reverse order Pentagonal Fuzzy Numbers and its application in Game Problems -- Similarity Analysis of Means-End Chain Models -- Unfolding Computational Graphs for Dynamic Planning under Uncertainty -- Strong Connectivity Deﬁnition of Periodic Fuzzy Graph.

This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

ISBN: 9783031397745

Standard No.: 10.1007/978-3-031-39774-5doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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520 $a This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
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