Fuzzy Cognitive Maps for Applied Sciences and Engineering

Chapter 1 Methods and Algorithms for Fuzzy Cognitive Map-based Modeling

Chapter 2 Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs

Chapter 3 FCM Relationship Modeling for Engineering Systems

Chapter 4 Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps

Chapter 5 Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management

Chapter 6 Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education

Chapter 7 Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series

Chapter 8 Synthesis and Analysis of Multi-Step Learning Algorithms for Fuzzy Cognitive Maps

Chapter 9 Designing and Training Relational Fuzzy Cognitive Maps

Chapter 10 Cooperative Autonomous Agents Based on Dynamical Fuzzy Cognitive Maps

Chapter 11 FCM-GUI: A Graphical User Interface for Big Bang-Big Crunch Learning of FCM

Chapter 12 JFCM : A Java Library for FuzzyCognitive Maps

Chapter 13 Use and Evaluation of FCM as a Tool for Long Term Socio Ecological Research

Chapter 14 Using Fuzzy Grey Cognitive Maps for Industrial Processes Control

Chapter 15 Fuzzy Cognitive Maps for Applied Sciences and Engineering

Chapter 16 Fuzzy Cognitive Maps for Structural Damage Detection

Chapter 17 Fuzzy Cognitive Strategic Maps

Chapter 18 The Complex Nature of Migration at a Conceptual Level: An Overlook of the Internal Migration Experience of Gebze Through Fuzzy Cognitive Mapping Method

Chapter 19 Understanding Public Participation and Perceptions of Stakeholders for a Better Management in Danube Delta Biosphere Reserve (Romania)

Chapter 20 Employing Fuzzy Cognitive Map for Periodontal Disease Assessment