Fuzzy Cognitive Maps for Applied Sciences and Engineering
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Fuzzy Cognitive Maps for Applied Sciences and Engineering

Fuzzy Cognitive Maps for Applied Sciences and Engineering


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About the Book

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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Product Details
  • ISBN-13: 9783662522141
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 395
  • Series Title: Intelligent Systems Reference Library
  • Sub Title: From Fundamentals to Extensions and Learning Algorithms
  • Width: 156 mm
  • ISBN-10: 3662522144
  • Publisher Date: 30 Apr 2017
  • Edition: Intelligent Systems Reference Library
  • Language: English
  • Returnable: Y
  • Spine Width: 22 mm
  • Weight: 639 gr


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