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