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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Birmingham : A - Electronic, Electrical and computer engineering

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Output 3 of 108 in the submission

Article title

A new fuzzy set merging technique using inclusion-based fuzzy cluttering

Type

D - Journal article

DOI

10.1109/TFUZZ.2007.902011

Title of journal

IEEE Transactions on Fuzzy Systems

Article number

Volume number

Issue number

First page of article

145

ISSN of journal

1063-6706

Year of publication

2008

URL

Number of additional authors

Additional information

This paper describes an advancement of theoretical knowledge and understanding in the field of data mining and fuzzy reasoning. It demonstrates a new mathematical model of rule based simplification through a modification of standard fuzzy c-means algorithm by incorporating an inclusion based measure to common metric distance. The paper is a joint work between Birmingham, Salford and Rotterdam Universities. This work has been employed as a basis for an EU project led by Prof Kaymak in the field of nature-inspired smart information system as well in finance sector. It also initiated a number of PhD projects.

Interdisciplinary

Cross-referral requested

Research group

B - Human Computer Interaction

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract