A new method for rule interpolation inspired by rough-fuzzy sets

Chengyuan Chen; Qiang Shen

doi:10.1109/FUZZ-IEEE.2012.6251216

A new method for rule interpolation inspired by rough-fuzzy sets

Chengyuan Chen
, Qiang Shen

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

15 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 21st International Conference on Fuzzy Systems
Publisher	IEEE Press
Pages	1098-1105
ISBN (Electronic)	978-1-4673-1505-0
ISBN (Print)	978-1-4673-1507-4
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2012.6251216
Publication status	Published - 2012
Event	Fuzzy Systems - Queensland, Brisbane, Australia Duration: 10 Jun 2012 → 15 Jun 2012 Conference number: 21

Conference

Conference	Fuzzy Systems
Abbreviated title	FUZZ-IEEE-2012
Country/Territory	Australia
City	Brisbane
Period	10 Jun 2012 → 15 Jun 2012

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10.1109/FUZZ-IEEE.2012.6251216

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@inproceedings{cb2457648cb44a85a03287ecd32caea6,

title = "A new method for rule interpolation inspired by rough-fuzzy sets",

author = "Chengyuan Chen and Qiang Shen",

year = "2012",

doi = "10.1109/FUZZ-IEEE.2012.6251216",

language = "English",

isbn = "978-1-4673-1507-4 ",

pages = "1098--1105",

booktitle = "Proceedings of the 21st International Conference on Fuzzy Systems",

publisher = "IEEE Press",

address = "United States of America",

note = "Fuzzy Systems, FUZZ-IEEE-2012 ; Conference date: 10-06-2012 Through 15-06-2012",

}

TY - GEN

T1 - A new method for rule interpolation inspired by rough-fuzzy sets

AU - Chen, Chengyuan

AU - Shen, Qiang

N1 - Conference code: 21

PY - 2012

Y1 - 2012

UR - http://hdl.handle.net/2160/37858

U2 - 10.1109/FUZZ-IEEE.2012.6251216

DO - 10.1109/FUZZ-IEEE.2012.6251216

M3 - Conference Proceeding (ISBN)

SN - 978-1-4673-1507-4

SP - 1098

EP - 1105

BT - Proceedings of the 21st International Conference on Fuzzy Systems

PB - IEEE Press

T2 - Fuzzy Systems

Y2 - 10 June 2012 through 15 June 2012

ER -

A new method for rule interpolation inspired by rough-fuzzy sets

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