IFSA 2007 World Congress

Cancun, Mexico, June 18-21, 2007

SPECIAL SESSION: 10SS

JOINT MODEL-BASED AND DATA-BASED LEARNING: THE FUZZY LOGIC APPROACH

ORGANIZERS: Joseph Aguilar-Martin and Julio Waissman Vilanova

SCOPE: The proposed session is planned to include all aspects of relations between interval and fuzzy techniques, including:

* A model is a theoretical representation of some phenomenon, by logical and quantitative relationships. A model has an ontology that is the set of expressions in the model which are intended to produce missing information, whether they are past, present or future.

Learning is the process of acquiring knowledge, or values, through experience, or teaching, that causes a change of behavior that is persistent.

The learning process can generate models of two types:

1) Data-based - by analyzing data that lead to a mapping of input objects onto desired outputs, 2) Model-based - by tuning a set of parameters to be applied to local previously built models.

* All research works where both types appear, and using some concepts related to Fuzzy logic" will be considered. Illustrative real size applications are welcome.

CONTACT INFORMATION : Julio Waissman Vilanova

Centro de Investigacion en Tecnologias de Informacion y Sistemas -ICBI-UAEH.

CU, Carr. Pachuca-Tulancingo Km. 4.5,

C.P. 42084, Pachuca,Hidalgo, MEXICO.