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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ASC
2004
13 years 7 months ago
Soft computing applications in dynamic model identification of polymer extrusion process
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...
KES
2004
Springer
14 years 27 days ago
FESMI: A Fuzzy Expert System for Diagnosis and Treatment of Male Impotence
In this paper, we present the design, implementation and evaluation of FESMI, a fuzzy expert system that deals with diagnosis and treatment of male impotence. The diagnosis process...
Constantinos Koutsojannis, Ioannis Hatzilygeroudis
KES
2006
Springer
13 years 7 months ago
Fuzzy-Evolutionary Synergism in an Intelligent Medical Diagnosis System
In this paper, we present the design, implementation and evaluation of HIGAS, a hybrid intelligent system that deals with diagnosis and treatment consultation of acid-base disturba...
Constantinos Koutsojannis, Ioannis Hatzilygeroudis
CLEIEJ
2007
203views more  CLEIEJ 2007»
13 years 7 months ago
Optimization Criteria for Effort Estimation using Fuzzy Technique
Effective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of ...
Harish Mittal, Pradeep Bhatia