Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

A Comparison: Fuzzy Signatures and Choquet Integral

Date

Authors

Mendis, B Sumudu

Gedeon, Tamas (Tom)

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Fuzzy Signatures are hierarchical multi aggregative descriptors of objects. They have reduced computational complexity compared to formal fuzzy rule based systems. Weighted Relevance Aggregation enhances the performance of hierarchical Fuzzy Signatures. Thus, they are very robust and flexible under perturbed input data. On the other hand the Choquet Integral, which is based on fuzzy measures, is a powerful aggregation tool in multi-criteria decision making. We compared Fuzzy Signatures and the Choquet Integral as practical applications for hierarchical and non-hierarchical data aggregation/organization methods.

Keywords

Keywords: Computational complexity; Fuzzy logic; Fuzzy systems; Integral equations; Problem solving; Aggregation operators; Choquet integral; Fuzzy integrals; Fuzzy measure; Fuzzy Signatures; Generalised weighted relevance aggregation operator; Multi-criteria decis Aggregation operators; Choquet integral; Fuzzy integrals; Fuzzy measure; Fuzzy Signatures; Generalised weighted relevance aggregation operator; Multi-criteria decision making

URI

http://hdl.handle.net/1885/51388

Collections

ANU Research Publications

Source

Fuzzy Systems. Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008)

Type

Conference paper

DOI

10.1109/FUZZY.2008.4630565

Restricted until

2037-12-31

Downloads

File

Description

01_Mendis_A_Comparison:_Fuzzy_Signatures_2008.pdf (228.97 KB)