Rankings from Fuzzy Pairwise Comparisons

P.M. van den Broek; J.A.R. Noppen

doi:10.1109/CIMCA.2005.1631466

Rankings from Fuzzy Pairwise Comparisons

P.M. van den Broek, J.A.R. Noppen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

194 Downloads (Pure)

Abstract

We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.

Original language	Undefined
Title of host publication	CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation
Editors	M. Mohammadian
Place of Publication	Los Alamitos, California, USA
Publisher	IEEE
Pages	188-190
Number of pages	3
ISBN (Print)	978-0-7695-2504-4
DOIs	https://doi.org/10.1109/CIMCA.2005.1631466
Publication status	Published - 2006
Event	CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation - Vienna, Austria Duration: 28 Nov 2005 → 30 Nov 2005

Publication series

Name
Publisher	IEEE Computer Society
Volume	2

Conference

Conference	CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation
Period	28/11/05 → 30/11/05
Other	28-30 Nov 2005

Keywords

SE-SC: Soft Computing applied to Software Engineering
METIS-248478
EWI-9077
IR-63913

Access to Document

10.1109/CIMCA.2005.1631466

0394VandenBroek_Rankings

Cite this

@inproceedings{f8c7d26d3a054c3ba0fc6e282ca81222,

title = "Rankings from Fuzzy Pairwise Comparisons",

abstract = "We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.",

keywords = "SE-SC: Soft Computing applied to Software Engineering, METIS-248478, EWI-9077, IR-63913",

author = "{van den Broek}, P.M. and J.A.R. Noppen",

note = "http://dx.doi.org/10.1109/CIMCA.2005.1631466 ; CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation ; Conference date: 28-11-2005 Through 30-11-2005",

year = "2006",

doi = "10.1109/CIMCA.2005.1631466",

language = "Undefined",

isbn = "978-0-7695-2504-4",

publisher = "IEEE",

pages = "188--190",

editor = "M. Mohammadian",

booktitle = "CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation",

address = "United States",

}

van den Broek, PM & Noppen, JAR 2006, Rankings from Fuzzy Pairwise Comparisons. in M Mohammadian (ed.), CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation., 10.1109/CIMCA.2005.1631466, IEEE, Los Alamitos, California, USA, pp. 188-190, CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation, 28/11/05. https://doi.org/10.1109/CIMCA.2005.1631466

Rankings from Fuzzy Pairwise Comparisons. / van den Broek, P.M.; Noppen, J.A.R.
CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation. ed. / M. Mohammadian. Los Alamitos, California, USA: IEEE, 2006. p. 188-190 10.1109/CIMCA.2005.1631466.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Rankings from Fuzzy Pairwise Comparisons

AU - van den Broek, P.M.

AU - Noppen, J.A.R.

N1 - http://dx.doi.org/10.1109/CIMCA.2005.1631466

PY - 2006

Y1 - 2006

N2 - We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.

AB - We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.

KW - SE-SC: Soft Computing applied to Software Engineering

KW - METIS-248478

KW - EWI-9077

KW - IR-63913

U2 - 10.1109/CIMCA.2005.1631466

DO - 10.1109/CIMCA.2005.1631466

M3 - Conference contribution

SN - 978-0-7695-2504-4

SP - 188

EP - 190

BT - CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation

A2 - Mohammadian, M.

PB - IEEE

CY - Los Alamitos, California, USA

T2 - CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation

Y2 - 28 November 2005 through 30 November 2005

ER -