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A Heuristic Approach To Possibilistic Clustering Algorithms And Applications


A Heuristic Approach To Possibilistic Clustering Algorithms And Applications
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A Heuristic Approach To Possibilistic Clustering Algorithms And Applications


A Heuristic Approach To Possibilistic Clustering Algorithms And Applications
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Author : Dmitri A. Viattchenin
language : en
Publisher: Springer
Release Date : 2013-04-19

A Heuristic Approach To Possibilistic Clustering Algorithms And Applications written by Dmitri A. Viattchenin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-19 with Computers categories.


The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover, a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdani’s fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications



A Heuristic Approach To Possibilistic Clustering Algorithms And Applications


A Heuristic Approach To Possibilistic Clustering Algorithms And Applications
DOWNLOAD
Author : Dmitri A. Viattchenin
language : en
Publisher: Springer
Release Date : 2013-04-17

A Heuristic Approach To Possibilistic Clustering Algorithms And Applications written by Dmitri A. Viattchenin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.


The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover, a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdani’s fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications



Novel Developments In Uncertainty Representation And Processing


Novel Developments In Uncertainty Representation And Processing
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Author : Krassimir T. Atanassov
language : en
Publisher: Springer
Release Date : 2015-10-23

Novel Developments In Uncertainty Representation And Processing written by Krassimir T. Atanassov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-23 with Computers categories.


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, Bulgaria, Complutense University, Madrid, Spain, and the University of Westminster, Harrow, UK.



Foundations Of Intelligent Systems


Foundations Of Intelligent Systems
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Author : Marzena Kryszkiewicz
language : en
Publisher: Springer
Release Date : 2017-06-19

Foundations Of Intelligent Systems written by Marzena Kryszkiewicz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-19 with Computers categories.


This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.



Advances In Green Energies And Materials Technology


Advances In Green Energies And Materials Technology
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Author : Younes Chiba
language : en
Publisher: Springer Nature
Release Date : 2021-06-09

Advances In Green Energies And Materials Technology written by Younes Chiba and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Technology & Engineering categories.


This book presents selected articles from the Algerian Symposium on Renewable Energy and Materials (ASREM-2020) held at Médéa, Algeria. It highlights the latest advances in the field of green energies and material technology with specific accentuation on numerical plans and recent methodologies designed to solve engineering problems. It includes mathematical models and experimental measurements to study different problems in renewable energy and materials characterization, with contributions from experts in both academia and industry, and presents a platform to further collaborations in this important area.



Knowledge Based Clustering


Knowledge Based Clustering
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Author : Witold Pedrycz
language : en
Publisher: John Wiley & Sons
Release Date : 2005-05-13

Knowledge Based Clustering written by Witold Pedrycz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-13 with Technology & Engineering categories.


A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience



Informational Paradigm Management Of Uncertainty And Theoretical Formalisms In The Clustering Framework A Review


Informational Paradigm Management Of Uncertainty And Theoretical Formalisms In The Clustering Framework A Review
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Author : Pierpaolo D’Urso
language : en
Publisher: Infinite Study
Release Date :

Informational Paradigm Management Of Uncertainty And Theoretical Formalisms In The Clustering Framework A Review written by Pierpaolo D’Urso and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets theory.



Fuzzy Logic And Its Applications To Engineering Information Sciences And Intelligent Systems


Fuzzy Logic And Its Applications To Engineering Information Sciences And Intelligent Systems
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Author : Zeungnam Bien
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Fuzzy Logic And Its Applications To Engineering Information Sciences And Intelligent Systems written by Zeungnam Bien and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences. Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.



Learning And Intelligent Optimization


Learning And Intelligent Optimization
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Author : Paola Festa
language : en
Publisher: Springer Nature
Release Date : 2025-01-02

Learning And Intelligent Optimization written by Paola Festa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Mathematics categories.


This book constitutes the refereed proceedings of the 18th International Conference on Learning and Intelligent Optimization, LION 18, held in Ischia Island, Italy, in June 2024. The 31 full papers and 4 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. These papers focus on the current research, challenges and applications in the fields of Artificial Intelligent, Machine Learning and Operations Research.



Metaheuristics For Machine Learning


Metaheuristics For Machine Learning
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Author : Mansour Eddaly
language : en
Publisher: Springer Nature
Release Date : 2023-03-13

Metaheuristics For Machine Learning written by Mansour Eddaly and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Computers categories.


Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.