Fuzzy Cognitive Maps Advances in Theory, Methodologies, Tools and Applications /

Fuzzy Cognitive Maps Advances in Theory, Methodologies, Tools and Applications /

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The theory of cognitive maps was developed in 1976. Its main aim was the representation of (causal) relationships among “concepts” also known as “factors” or “nodes”. Concepts could be assigned values. Causal relationships between two concepts could be of three types: positive, negative or neutral....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Glykas, Michael (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Fuzziness and Soft Computing, 247
Θέματα:
Engineering.
Operations research.
Decision making.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
Operation Research/Decision Theory.
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems
  • Expert-Based and Computational Methods for Developing Fuzzy Cognitive Maps
  • A Novel Approach on Constructed Dynamic Fuzzy Cognitive Maps Using Fuzzified Decision Trees and Knowledge-Extraction Techniques
  • The FCM Designer Tool
  • Fuzzy Cognitive Networks: Adaptive Network Estimation and Control Paradigms
  • Modeling of Operative Risk Using Fuzzy Expert Systems
  • Fuzzy Cognitive Maps in Banking Business Process Performance Measurement
  • Fuzzy Cognitive Maps-Based IT Projects Risks Scenarios
  • Software Reliability Modelling Using Fuzzy Cognitive Maps
  • Fuzzy Cognitive Networks for Maximum Power Point Tracking in Photovoltaic Arrays
  • Fuzzy Cognitive Maps Applied to Computer Vision Tasks
  • Classifying Patterns Using Fuzzy Cognitive Maps
  • Dynamic Fuzzy Cognitive Maps for the Supervision of Multiagent Systems
  • Soft Computing Technique of Fuzzy Cognitive Maps to Connect Yield Defining Parameters with Yield in Cotton Crop Production in Central Greece as a Basis for a Decision Support System for Precision Agriculture Application
  • Analysis of Farmers’ Concepts of Environmental Management Measures: An Application of Cognitive Maps and Cluster Analysis in Pursuit of Modelling Agents’ Behaviour
  • Using Fuzzy Cognitive Maps to Support the Analysis of Stakeholders’ Views of Water Resource Use and Water Quality Policy
  • Fuzzy Cognitive Map to Support Conflict Analysis in Drought Management.

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