Title :
The notion of H-IFS in data modelling
Author :
Rogova, Ermir ; Chountas, Panagiotis ; Atanassov, Krassimir
Author_Institution :
DKMG - HSCS, Westminster Univ., London
Abstract :
In this paper we revise the context of ldquovalue imprecisionrdquo, as part of an knowledge-based environment. We present our approach for including value imprecision as part of a non-rigid hierarchical structures of organization. This led us to introduce the concept of closure of an intuitionistic fuzzy set over a universe that has a hierarchical structure. Intuitively, in the closure of this intuitionistic fuzzy set, the ldquokind ofrdquo relation is taken into account by propagating the degree associated with an element to its sub-elements in the hierarchy. We introduce the automatic analysis according to concepts defined as part of a knowledge hierarchy in order to guide the query answering as part of an integrated database environment with the aid of hierarchical intuitionistic fuzzy sets.
Keywords :
database management systems; fuzzy logic; fuzzy set theory; knowledge based systems; query processing; data modelling; hierarchical intuitionistic fuzzy sets; integrated database environment; knowledge-based environment; query answering; value imprecision; Data mining; Database systems; Decision making; Educational institutions; Fuzzy sets; Information retrieval; Logic; Open wireless architecture; Relational databases; Remuneration;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630554