Fernando Berzal, Juan-Carlos Cubero, Nicolás Marín & María-Amparo Vila:
"Lazy Types: Automating Dynamic Strategy Selection"
IEEE Software, September/October 2005.
"The reflective technique of lazy typing-deferring the exact definition of object methods until the last possible moment-can help programmers more easily and consistently deal with partial or incomplete data."
Fernando Berzal, Juan-Carlos Cubero, Nicolás Marín & María-Amparo Vila:
"Fuzzy types: A first step towards lazy types in the .NET Framework"
International Conference on Computational Intelligence, 8th Fuzzy Days, Dortmund, Germany, September 29 - October 1, 2004
"Many applications deal with data that are not easy to accommodate in conventional data models. This paper shows how the advanced features of modern programming platforms allow the transparent implementation of lazy typing capabilities than can then be easily used by programmers. As a first approximation to the problem, we show how these capabilities can be used to develop applications with fuzzy types."
Fernando Berzal, Juan-Carlos Cubero, Nicolás Marín & Olga Pons:
"Fuzzy object-oriented modeling with metadata attributes in C#"
International Conference on Computational Intelligence, 8th Fuzzy Days, Dortmund, Germany, September 29 - October 1, 2004
The framework we present responds to programmers' needs by providing an easy-to-use transparent mechanism to deal withimprecision in the description of objects. Our framework implementation makes use of advanced features of reflection and metadata attributes in the .NET platform in order to make the implementation of fuzzy user-defined classes easier and it can be used without interfering with the usual object-oriented software development tasks.
Fernando Berzal, Juan-Carlos Cubero, Nicolás Marín & Olga Pons:
"Enabling Fuzzy Object Comparison in Modern Programming Platforms through Reflection"
IFSA 2003, Lecture Notes in Artificial Intelligence, In "Fuzzy Sets and Systems", Taner BilgiÁ, Bernard de Baets & Okyay Kaynak (eds.). Springer-Verlag, LNAI 2715, pp. 660-667, June 2003, ISBN 3-540-40383-3
Comparison plays a determining role in many problems related to object management. Every modern programming language provides a comparison method (e.g. the equals method in Java) that allows us to compare two objects of any user-defined class. However, if we develop classes to imprecisely represent objects described using Fuzzy Set Theory, the built-in method is no longer suitable. Fuzzy object comparison must be handled using a fuzzy equality concept. We describe how to enable modern programming platforms so that classes with imprecise attributes can be developed and fuzzy objects of these classes can easily be compared. In particular, we introduce a generic fuzzyEquals method in Java.