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| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20140310143342.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
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100904s2010 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783642032202 |
|
978-3-642-03220-2 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
Berlin, Heidelberg : |
| -- |
Springer Berlin Heidelberg, |
| -- |
2010. |
| 912 ## - |
|---|
| -- |
ZDB-2-ENG |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Glykas, Michael. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Fuzzy Cognitive Maps |
| Medium |
[electronic resource] : |
| Remainder of title |
Advances in Theory, Methodologies, Tools and Applications / |
| Statement of responsibility, etc |
edited by Michael Glykas. |
| 246 3# - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
THE FCM MODELLING AND SIMULATION TOOL CAN BE DOWNLOADED FROM AN INTERNET SITE. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
200p. 179 illus. |
| Other physical details |
online resource. |
| 440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Studies in Fuzziness and Soft Computing, |
| International Standard Serial Number |
1434-9922 ; |
| Volume number/sequential designation |
247 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. Increase in the value of a concept would yield a corresponding positive or negative increase at the concepts connected to it via relationships. In 1986 Bart Kosko introduced the notion of fuzziness to cognitive maps and created the theory of Fuzzy Cognitive Maps (FCMs). The relationship between two concepts in (FCMs) can take a value in the interval [-1,1]. This relationship value is called “weight”. For the last twenty years extensive research in the theory of FCMs has been performed that provided major improvements and enhancements in its theoretical underpinning. New methodologies and approaches have been developed. FCMs have also been applied to many different sectors. New software tools have been developed that automate FCM creation and management. The aim of this book is to present recent advances and state of the art in FCM theory, methodologies, applications and tools that exist to date scattered in journal papers, in a concrete and integrated manner. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
|
|---|
| Topical term or geographic name as entry element |
Engineering mathematics. |
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|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Appl.Mathematics/Computational Methods of Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
|
|---|
| Topical term or geographic name as entry element |
Operations Research/Decision Theory. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9783642032196 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-03220-2 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
