Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms - Couverture rigide

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9783642397387: Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms

Synopsis

Methods and Algorithms for Fuzzy Cognitive Map-based Modeling.- Fuzzy Cognitive Maps as representations of mental models and group beliefs.- FCM Relationship Modeling for Engineering Systems.- Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps.- Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management.- Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education.- Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series.- Synthesis and Analysis of Multi-Step Algorithms of Fuzzy Cognitive Maps Learning.- Designing and Training Relational Fuzzy Cognitive Maps.- Cooperative Autonomous Agents Based On Dynamical Fuzzy Cognitive Maps.- FCM-GUI: A graphical user interface for Big Bang-Big.- Crunch Learning for FCM and Evaluation.- JFCM - A Java library for Fuzzy Cognitive Maps.- Use and evaluation of FCM as a tool for long term socio ecological research.- Application of Fuzzy Grey Cognitive Maps for process problems in industry Papageorgiou.- Use and Perspectives of Fuzzy Cognitive Maps in Robotics.- Fuzzy Cognitive Maps for Structural Damage Detection.- Fuzzy cognitive strategic maps for business management.- The Complex Nature of Migration at a Conceptual Level.- Overlook to the Internal Migration Experience in Gebze through Fuzzy Cognitive Mapping Method.- Understanding Public Participation and Combining Perceptions of Stakeholders' for a Better Management in Danube Delta Biosphere Reserve.- Employing Fuzzy Cognitive Map for Periodontal Disease Assessment.

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Autres éditions populaires du même titre

9783662522141: Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms

Edition présentée

ISBN 10 :  3662522144 ISBN 13 :  9783662522141
Editeur : Springer, 2017
Couverture souple