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Fuzzy Cognitive Maps for Applied Sciences and Engineering

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Cover of 'Fuzzy Cognitive Maps for Applied Sciences and Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Methods and Algorithms for Fuzzy Cognitive Map-based Modeling
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    Chapter 2 Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs
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    Chapter 3 FCM Relationship Modeling for Engineering Systems
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    Chapter 4 Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps
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    Chapter 5 Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management
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    Chapter 6 Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education
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    Chapter 7 Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series
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    Chapter 8 Synthesis and Analysis of Multi-Step Learning Algorithms for Fuzzy Cognitive Maps
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    Chapter 9 Designing and Training Relational Fuzzy Cognitive Maps
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    Chapter 10 Cooperative Autonomous Agents Based on Dynamical Fuzzy Cognitive Maps
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    Chapter 11 FCM-GUI: A Graphical User Interface for Big Bang-Big Crunch Learning of FCM
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    Chapter 12 JFCM : A Java Library for FuzzyCognitive Maps
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    Chapter 13 Use and Evaluation of FCM as a Tool for Long Term Socio Ecological Research
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    Chapter 14 Using Fuzzy Grey Cognitive Maps for Industrial Processes Control
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    Chapter 15 Fuzzy Cognitive Maps for Applied Sciences and Engineering
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    Chapter 16 Fuzzy Cognitive Maps for Structural Damage Detection
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    Chapter 17 Fuzzy Cognitive Strategic Maps
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    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
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    Chapter 19 Understanding Public Participation and Perceptions of Stakeholders for a Better Management in Danube Delta Biosphere Reserve (Romania)
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    Chapter 20 Employing Fuzzy Cognitive Map for Periodontal Disease Assessment
Overall attention for this book and its chapters
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Citations

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Title
Fuzzy Cognitive Maps for Applied Sciences and Engineering
Published by
Springer Berlin Heidelberg, December 2013
DOI 10.1007/978-3-642-39739-4
ISBNs
978-3-64-239738-7, 978-3-64-239739-4
Editors

Papageorgiou, Elpiniki I.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Iran, Islamic Republic of 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Unknown 102 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 29%
Student > Ph. D. Student 28 26%
Researcher 12 11%
Student > Bachelor 11 10%
Student > Doctoral Student 8 7%
Other 13 12%
Unknown 4 4%
Readers by discipline Count As %
Computer Science 27 25%
Engineering 20 19%
Environmental Science 12 11%
Agricultural and Biological Sciences 8 7%
Business, Management and Accounting 8 7%
Other 18 17%
Unknown 14 13%