Dr. Ronald R. Yager is a researcher in computational intelligence and decision making under uncertainty and fuzzy logic. He is currently Director of the Machine Intelligence Institute and Professor of Information Systems at Iona College. He has been an active IEEE Fellow since 1997 for his contributions to the development of the theory of fuzzy logic. He is the Editor and Chief of the International Journal of Intelligent Systems, which serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. He has also been invited to serve on the Editorial Boards and Executive Advisory Boards for a number of International Journals, including IEEE Intelligent Systems, IEEE Transactions on Fuzzy Systems, and the Fuzzy Sets and Systems Journal.
6 résultat(s)
Télécharger le livre : Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis
Madhumangal Pal , Laxminarayan Sahoo , Tapan Senapati , Ronald R. Yager
Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis
This book focuses on cutting-edge developments in optimal decision-making incorporating modeling and optimization for determining renewable energy sources, supply chain management, and environmental planning under uncertainty. It addresses mathematical models of...
Editeur : Springer
Parution : 2025-03-02
Collection : Studies in Systems, Decision and Control
Format(s) : PDF, ePub
200,44 €
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Télécharger le livre : Picture Fuzzy Logic and Its Applications in Decision Making Problems
Valentina Emilia Balas , Chiranjibe Jana , Madhumangal Pal , Ronald R. Yager
Picture Fuzzy Logic and Its Applications in Decision Making Problems
Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators, and their applications in scientific research and real-world engineering problems....
Editeur : Academic Press
Parution : 2023-11-08

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200,45 €
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Télécharger le livre : Using Open Data to Detect Organized Crime Threats
José María Blanco , Henrik Legind Larsen , Raquel Pastor Pastor , Ronald R. Yager
Using Open Data to Detect Organized Crime Threats
This work provides an innovative look at the use of open data for extracting information to detect and prevent crime, and also explores the link between terrorism and organized crime. In counter-terrorism and other forms of crime prevention, foresight about potential...
Editeur : Springer
Parution : 2017-04-07

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94,94 €
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Télécharger le livre : Readings in Fuzzy Sets for Intelligent Systems
Didier J. Dubois , Henri Prade , Ronald R. Yager
Readings in Fuzzy Sets for Intelligent Systems
Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate...
Editeur : Morgan Kaufmann
Parution : 2014-05-12

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74,85 €
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Télécharger le livre : Modern Information Processing
Bernadette Bouchon-Meunier , Giulianella Coletti , Ronald R. Yager
Modern Information Processing
The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy.The book...
Editeur : Elsevier Science
Parution : 2011-10-13

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130,82 €
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Télécharger le livre : Intelligent Systems for Information Processing: From Representation to Applications
B. Bouchon-Meunier , L. Foulloy , Ronald R. Yager
Intelligent Systems for Information Processing: From Representation to Applications
Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed....
Editeur : Jai Press
Parution : 2003-11-07

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101,23 €
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