A New Approach of Dynamic Fuzzy Cognitive Knowledge Networks in Modelling Diagnosing Process of Meniscus Injury * *The present work was financially supported by the "Andreas Mentzelopoulos Scholarships University of Patras".-Reference-Cited by-同舟云学术

A New Approach of Dynamic Fuzzy Cognitive Knowledge Networks in Modelling Diagnosing Process of Meniscus Injury * *The present work was financially supported by the "Andreas Mentzelopoulos Scholarships University of Patras".

Published:2017-07 Issue:1 Volume:50 Page:5861-5866
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Anninou Antigoni P.,Groumpos Peter P.,Poulios Panagiotis,Gkliatis Ioannis

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference15 articles.

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2. A new meniscus injury diagnostic model using fuzzy cognitive maps. In Control and Automation (MED), 2016 24th Mediterranean Conference on, 7–12;Anninou,2016

3. Time dependent fuzzy cognitive maps for medical diagnosis. In Hellenic Conference on Artificial Intelligence, 544–554;Bourgani,2014

4. Carvalho, J.P. and Tomé, J. (2002). Issues on the stability of fuzzy cognitive maps and rule-based fuzzy cognitive maps. In Proceedings of the 21st International Conference of the North American Fuzzy Information Processing Society, NAFIPS2002, New Orleans.

5. Fuzzy cognitive mapping: Applications in education;Cole;International Journal of Intelligent Systems,2000

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