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» Representing Incomplete Knowledge about Fuzzy Sets
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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
KES
2000
Springer
13 years 11 months ago
Effects of antecedent pruning in fuzzy classification systems
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...
Andreas Nürnberger, Aljoscha Klose, Rudolf Kr...
ICTAI
2003
IEEE
14 years 25 days ago
An Intelligent Early Warning System for Software Quality Improvement and Project Management
One of the main reasons behind unfruitful software development projects is that it is often too late to correct the problems by the time they are detected. It clearly indicates th...
Xiaoqing Frank Liu, Gautam Kane, Monu Bambroo
ATAL
2010
Springer
13 years 8 months ago
Strategic planning for probabilistic games with incomplete information
Alternating-time Temporal Logic (ATL) [1] is used to reason about strategic abilities of agents. Aiming at strategies that can realistically be implemented in software, many varia...
Henning Schnoor
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 7 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...