Identificacion Principal del registro INGC-EBK-000663

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160825152751

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 131202s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783642397394

a Standard number or code 10.1007/978-3-642-39739-4

a Title Fuzzy Cognitive Maps for Applied Sciences and Engineering

h Medium [libro electrónico] :

b Remainder of title From Fundamentals to Extensions and Learning Algorithms /

c Statement of responsibility, etc edited by Elpiniki I. Papageorgiou.

a Place of publication, distribution, etc Berlin, Heidelberg :

b Name of publisher, distributor, etc Springer Berlin Heidelberg :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xxvii, 395 p.

b Other physical details il.

a Series statement Intelligent Systems Reference Library,

x International Standard Serial Number 1868-4394 ;

v Volume number/sequential designation 54

a Formatted contents note Methods and Algorithms for Fuzzy Cognitive Map-based Modeling -- Fuzzy Cognitive Maps as representations of mental models and group beliefs -- FCM Relationship Modeling for Engineering Systems -- Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps -- Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management -- Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education -- Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series -- Synthesis and Analysis of Multi-Step Algorithms of Fuzzy Cognitive Maps Learning -- Designing and Training Relational Fuzzy Cognitive Maps -- Cooperative Autonomous Agents Based On Dynamical Fuzzy Cognitive Maps -- FCM-GUI: A graphical user interface for Big Bang-Big -- Crunch Learning for FCM and Evaluation -- JFCM - A Java library for Fuzzy Cognitive Maps -- Use and evaluation of FCM as a tool for long term socio ecological research -- Application of Fuzzy Grey Cognitive Maps for process problems in industry Papageorgiou -- Use and Perspectives of Fuzzy Cognitive Maps in Robotics -- Fuzzy Cognitive Maps for Structural Damage Detection -- Fuzzy cognitive strategic maps for business management -- The Complex Nature of Migration at a Conceptual Level -- Overlook to the Internal Migration Experience in Gebze through Fuzzy Cognitive Mapping Method -- Understanding Public Participation and Combining Perceptions of Stakeholdersâ_T for a Better Management in Danube Delta Biosphere Reserve -- Employing Fuzzy Cognitive Map for Periodontal Disease Assessment.

a Summary, etc Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to â_oconceptsâ__ bearing different states of activation depending on the knowledge they represent, and the â_oedgesâ__ denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation. During the last 10 years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results.   The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge engineering. It comprehensively covers the state-of-the-art FCM modeling and learning methods, with algorithms, codes and software tools, and provides a set of applications that demonstrate their various usages in applied sciences and engineering.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Personal name Papageorgiou, Elpiniki I.

e Relator term ed.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-642-39739-4

c item type EBK

a descripción COM