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IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
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C4.5: programs for machine learning
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SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Extracting Refined Rules from Knowledge-Based Neural Networks
Machine Learning
Data mining and knowledge discovery in databases
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Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
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Foundations of Neuro-Fuzzy Systems
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Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
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Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
A complete fuzzy decision tree technique
Fuzzy Sets and Systems - Theme: Learning and modeling
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
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Soft Computing - A Fusion of Foundations, Methodologies and Applications
A survey of Knowledge Discovery and Data Mining process models
The Knowledge Engineering Review
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Applied Soft Computing
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Applied Soft Computing
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ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
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Applied Soft Computing
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Artificial Intelligence in Medicine
Modified Gath--Geva clustering for fuzzy segmentation of multivariate time-series
Fuzzy Sets and Systems
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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IEEE Transactions on Fuzzy Systems
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IEEE Transactions on Neural Networks
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Applied Soft Computing
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Computer Methods and Programs in Biomedicine
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Journal of Biomedical Informatics
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Knowledge-Based Systems
Knowledge-Based Systems
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Applied Soft Computing
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Applied Soft Computing
Bi-linear adaptive estimation of Fuzzy Cognitive Networks
Applied Soft Computing
Visualization of multidimensional data in explorative forecast
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Computers and Electronics in Agriculture
Engineering Applications of Artificial Intelligence
Using experts feedback in clinical case resolution and arbitration as accuracy diagnosis methodology
Computers in Biology and Medicine
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
Computer Methods and Programs in Biomedicine
Dynamic risks modelling in ERP maintenance projects with FCM
Information Sciences: an International Journal
A hybrid intelligent system for medical data classification
Expert Systems with Applications: An International Journal
Modeling maintenance projects risk effects on ERP performance
Computer Standards & Interfaces
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In this research work, a novel framework for the construction of augmented Fuzzy Cognitive Maps based on Fuzzy Rule-Extraction methods for decisions in medical informatics is investigated. Specifically, the issue of designing augmented Fuzzy Cognitive Maps combining knowledge from experts and knowledge from data in the form of fuzzy rules generated from rule-based knowledge discovery methods is explored. Fuzzy cognitive maps are knowledge-based techniques which combine elements of fuzzy logic and neural networks and work as artificial cognitive networks. The knowledge extraction methods used in this study extract the available knowledge from data in the form of fuzzy rules and insert them into the FCM, contributing to the development of a dynamic decision support system. The fuzzy rules, which derived by these extraction algorithms (such as fuzzy decision trees, association rule-based methods and neuro-fuzzy methods) are implemented to restructure the FCM model, producing new weights into the FCM model, that initially structured by experts. Concluding, our scope is to present a new methodology through a framework for decision making tasks using the soft computing technique of FCMs based on knowledge extraction methods. A well known medical decision making problem pertaining to the problem of radiotherapy treatment planning selection is presented to illustrate the application of the proposed framework and its functioning.