Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications: 247 (Studies in Fuzziness and Soft Computing, 247) - Image 1

£108.92

Springer Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications: 247 (Studies in Fuzziness and Soft Computing, 247)

Name: Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications: 247 (Studies in Fuzziness and Soft Computing, 247)
Brand: Springer
Price: 108.92 GBP
Availability: InStock

E-Commerce

This is the most expensive it has ever been. Walk away.

£109 today · previous high £109 · all-time low £109

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 46 days • 46 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 46 days • 1 price levels

Days at Price

Price Analysis

Most common price: £109 (46 days, 100.0%)

Price range: £109 - £109

Price levels: 1 different prices over 46 days

Description

This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications―and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics can in many cases let the user encode and decode concept patterns as fixed-point attractors or limit cycles or perhaps as more exotic dynamical equilibria. These global equilibrium patterns are often “hidden” in the nonlinear dynamics. The user will not likely see these global patterns by simply inspecting the local causal edges or nodes of large FCMs.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3642032192
Category: Books > Subjects > Business, Finance & Law > E-Commerce
Domain: Amazon UK
Release Date: 07 July 2010
Listed Since: 24 June 2009

Barcode

No barcode data available

Springer Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications: 247 (Studies in Fuzziness and Soft Computing, 247)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms: 54 (Intelligent Systems Reference Library, 54)

Fuzzy Controller Design: Theory and Applications: 19 (Automation and Control Engineering)

Fuzzy Modelling: Paradigms and Practice: 7 (International Series in Intelligent Technologies, 7)

Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers: 200 (Studies in Fuzziness and Soft Computing, 200)

A First Course in Fuzzy and Neural Control

Fuzzy Modeling and Control: 69 (Studies in Fuzziness and Soft Computing, 69)

Fuzzy Control, Estimation and Diagnosis: Single and Interconnected Systems

14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020: 1306 (Advances in Intelligent Systems and Computing, 1306)

Fuzzy Modeling and Control: 69 (Studies in Fuzziness and Soft Computing, 69)

Fuzzy Modeling for Control: 12 (International Series in Intelligent Technologies, 12)

Fuzzy Information and Engineering: Volume 1: 54 (Advances in Intelligent and Soft Computing, 54)

Industrial Applications of Fuzzy Technology in the World (Advances in Fuzzy Systems - Applications & Theory): 2 (Advances In Fuzzy Systems-applications And Theory)

Fuzzy Information and Engineering and Decision: 646 (Advances in Intelligent Systems and Computing, 646)

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications: 266 (Studies in Fuzziness and Soft Computing, 266)

Fuzzy Control Systems (Mathematics Research Developments Series)

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach: 37 (Automation and Control Engineering)

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications: 266 (Studies in Fuzziness and Soft Computing, 266)

Multistage Fuzzy Control: A Model-Based Approach to Fuzzy Control and Decision Making (Handbook of Theoretical Physics)

Fuzzy Techniques: Theory and Applications: Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual ... in Intelligent Systems and Computing, 1000)

Fuzzy Modeling for Control: 12 (International Series in Intelligent Technologies, 12)

Wiley Fuzzy Control: Synthesis and Analysis - Academic Book

Artificial Intelligence in Control and Decision-making Systems: Dedicated to Professor Janusz Kacprzyk: 1087 (Studies in Computational Intelligence, 1087)

Springer Neuro-Fuzzy Architectures and Hybrid Learning Book

The Theory of the Knowledge Square: The Fuzzy Rational Foundations of the Knowledge-Production Systems: 289 (Studies in Fuzziness and Soft Computing, 289)