DocumentCode :
2419838
Title :
Flexible Hierarchies and Fuzzy Knowledge-Based OLAP
Author :
Rogova, Ermir ; Chountas, Panagiotis ; Atanassov, Krassimir
Author_Institution :
Univ. of Westminster, London
Volume :
2
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
7
Lastpage :
11
Abstract :
In this paper we revise the context of "value uncertainty", as part of an OLAP based environment. A new multidimensional-cubic model named as the if-cube is introduced which is able to operate over data with imprecision either in the facts or in the dimensional hierarchies. These query requirements led us to introduce the concept of closure of an intuitionistic fuzzy set over a universe that has a hierarchical structure, H-IFS. We introduce the automatic recommendation of analysis according to the concepts defined as part of a domain ontology in order to guide the decision making with the aid of H-IFS.
Keywords :
data mining; decision making; fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); OLAP; decision making; dimensional hierarchies; domain ontology; fexible hierarchies; fuzzy knowledge; if-cube; intuitionistic fuzzy set; multidimensional-cubic model; query requirements; value uncertainty; Dairy products; Decision making; Fuzzy sets; Fuzzy systems; Lattices; Marketing and sales; Multidimensional systems; Ontologies; Thesauri; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.293
Filename :
4406035
Link To Document :
بازگشت