Fuzzy Cognitive Maps Fuzzy Cognitive Maps
Studies in Fuzziness and Soft Computing

Fuzzy Cognitive Maps

Advances in Theory, Methodologies, Tools and Applications

    • ‏149٫99 US$
    • ‏149٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٧ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
High Dimensional Neurocomputing High Dimensional Neurocomputing
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Intelligent Computer Graphics 2011 Intelligent Computer Graphics 2011
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Artificial Intelligence in Theory and Practice II Artificial Intelligence in Theory and Practice II
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Analysis and Design of Intelligent Systems Using Soft Computing Techniques Analysis and Design of Intelligent Systems Using Soft Computing Techniques
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Applications of Soft Computing Applications of Soft Computing
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Innovations in Intelligent Machines - 1 Innovations in Intelligent Machines - 1
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Theory and Applications of Ordered Fuzzy Numbers Theory and Applications of Ordered Fuzzy Numbers
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A Practical Introduction to Fuzzy Logic Using LISP A Practical Introduction to Fuzzy Logic Using LISP
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Fuzzy Logic and Information Fusion Fuzzy Logic and Information Fusion
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Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
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The Book of Dede Korkut and Fuzzy Logic The Book of Dede Korkut and Fuzzy Logic
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Recent Advances on Fuzzy Sets Recent Advances on Fuzzy Sets
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