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Output details

15 - General Engineering

University of Sheffield

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Output 6 of 66 in the submission

Article title

A neural-fuzzy modelling framework based on granular computing: Concepts and applications

Type

D - Journal article

DOI

10.1016/j.fss.2010.06.004

Title of journal

Fuzzy Sets and Systems

Article number

Volume number

161

Issue number

First page of article

2808

ISSN of journal

01650114

Year of publication

2010

URL

Number of additional authors

Additional information

Despite Granular Computing theory existing for a decade, this paper is the first article worldwide proposing and developing a new data-mining and modelling framework using this theory. Evident impact of this framework includes the model-based evaluation of Friction Stir Welding – for Boeing and Embraer products (TWI UK, Dr Beamish, kathryn.beamish@twi.co.uk) as well as fault detection in steel manufacturing (TATA Steel, Long Products Europe, Dr Thornton, steve.thornton@tatasteel.com). The early concept underpinning this research formed the main part of the international patent PCT/GB2006/001178, which was followed by industry and UK EPSRC (platform grant: EP/E063497/1) funding and this publication.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract