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José Alberto Batista Tomé
Person information
- affiliation: Technical University of Lisbon, Instituto Superior Técnico, INESC-ID
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2010 – 2019
- 2014
- [j2]José Alberto Batista Tomé, João Paulo Carvalho
:
Fuzzy Boolean Nets - a nature inspired model for learning and reasoning. Fuzzy Sets Syst. 253: 1-27 (2014)
2000 – 2009
- 2009
- [c9]João Paulo Carvalho, José Alberto Batista Tomé:
Rule Based Fuzzy Cognitive Maps in Socio-Economic Systems. IFSA/EUSFLAT Conf. 2009: 1821-1826 - 2007
- [j1]João Paulo Carvalho
, José Alberto Batista Tomé:
Qualitative optimization of Fuzzy Causal Rule Bases using Fuzzy Boolean Nets. Fuzzy Sets Syst. 158(17): 1931-1946 (2007) - [c8]José Alberto Batista Tomé, João Paulo Carvalho:
Fuzzy Boolean Networks Learning Behaviour. ISDA 2007: 889-894 - [p1]João Paulo Carvalho
, José Alberto Batista Tomé, Daniel Chang Yan:
Two-Input Fuzzy TPE Systems. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 539-548 - 2006
- [c7]João Paulo Carvalho
, Marco Carola, José Alberto Batista Tomé:
Using Rule-based Fuzzy Cognitive Maps to Model Dynamic Cell Behavior in Voronoi Based Cellular Automata. FUZZ-IEEE 2006: 1687-1694 - 2005
- [c6]José Alberto Batista Tomé, João Paulo Carvalho:
One step ahead prediction using Fuzzy Boolean Neural Networks. EUSFLAT Conf. 2005: 500-505 - [c5]José Alberto Batista Tomé, João Paulo Carvalho
:
Market Index Prediction using Fuzzy Boolean Nets. HIS 2005: 477-481 - 2004
- [c4]João Paulo Carvalho
, José Alberto Batista Tomé:
Qualitative modelling of an economic system using rule-based fuzzy cognitive maps. FUZZ-IEEE 2004: 659-664 - 2002
- [c3]José Alberto Batista Tomé:
Learning in Fuzzy Boolean Networks - Rule Distinguishing Power. SBIA 2002: 270-279 - 2001
- [c2]João Paulo Carvalho, José Alberto Batista Tomé:
Rule Based Fuzzy Cognittive Maps-Expressing Time in Qualitative System Dynamics. FUZZ-IEEE 2001: 280-283 - [c1]João Paulo Carvalho
, José Alberto Batista Tomé:
Automatic Implementation and Simulation of Qualitative Cognitive Maps. International Conference on Computational Science (2) 2001: 217-220
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