dc.contributor |
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.contributor |
Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.contributor.author |
Vazquez, Fernando |
dc.contributor.author |
Gibert, Karina |
dc.date |
2001-11 |
dc.identifier.citation |
Vazquez, F., Gibert, Karina. "Generación automàtica de reglas difusas en dominios poco estructurados con variables numéricas". 2001. |
dc.identifier.uri |
http://hdl.handle.net/2117/97832 |
dc.language.iso |
eng |
dc.relation |
LSI-01-51-R |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Àrees temàtiques de la UPC::Informàtica |
dc.subject |
Wastewater treatment process |
dc.subject |
Wwtp |
dc.subject |
Ill-structured domain |
dc.subject |
Fuzzy rules |
dc.title |
Generación automàtica de reglas difusas en dominios poco estructurados con variables numéricas |
dc.title |
Automatic generation of fuzzy rules in ill-structured domains with numerical variables |
dc.type |
info:eu-repo/semantics/publishedVersion |
dc.type |
info:eu-repo/semantics/report |
dc.description.abstract |
In this report, an application of a methodology of automatic
generation of conceptual descriptions for characterizing a given partition in an ill-structured domain is presented. A specific application on a wastewater treatment process (wwtp) illustrates the behaviour of this methodology. The methodology is based on the combination of statistical tools and inductive
learning, in such a way that the nature of the data is preserved, avoiding
previous transformations of the variables. Thus qualitative and
quantitative information can be induced from data. This information is
useful for the automatic generation of a system of fuzzy rules, which, in
turn, allows the posterior recognition of the obtained classes.
In previous works it has been proved that the multiple box-plot is a useful
and powerful statistical tool for distinguishing classes by means of
numerical variables. It constitutes the basis for the methodology presented
here, which permits detection of relevant variables characterized of any
classes.
In this report, we propose the first version of a formal methodology having
as an objective the automatic generation of conceptual class descriptions.
The goal is to characterize the various situations that can arise in a day
at a wastewater treatment plant (relevant information to facilitate the
plant's managing the decision making processes). |