Multicriteria decision support using rules that represent rough-graded preference relations

P. Fortemps; Salvatore Greco; R. Slowinski

doi:10.1016/j.ejor.2007.03.036

Multicriteria decision support using rules that represent rough-graded preference relations

P. Fortemps, Salvatore Greco, R. Slowinski

Research output: Contribution to journal › Article › peer-review

Abstract

The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking.

Original language	English
Pages (from-to)	206-223
Number of pages	18
Journal	European Journal of Operational Research
Volume	188
Issue number	1
DOIs	https://doi.org/10.1016/j.ejor.2007.03.036
Publication status	Published - 1 Jul 2008

Access to Document

10.1016/j.ejor.2007.03.036

Cite this

@article{da1f213ffedf474aaf2a966b87535f23,

title = "Multicriteria decision support using rules that represent rough-graded preference relations",

abstract = "The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking.",

author = "P. Fortemps and Salvatore Greco and R. Slowinski",

year = "2008",

month = jul,

day = "1",

doi = "10.1016/j.ejor.2007.03.036",

language = "English",

volume = "188",

pages = "206--223",

journal = "European Journal of Operational Research",

issn = "0377-2217",

publisher = "Elsevier BV",

number = "1",

}

TY - JOUR

T1 - Multicriteria decision support using rules that represent rough-graded preference relations

AU - Fortemps, P.

AU - Greco, Salvatore

AU - Slowinski, R.

PY - 2008/7/1

Y1 - 2008/7/1

N2 - The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking.

AB - The approach described in this paper aims to support multicriteria choice and ranking of actions when the input preference information acquired from the decision maker is a graded comprehensive pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a graded fuzzy preference relation, which can be exploited by weighted-fuzzy net flow score or lexicographic-fuzzy net flow score procedure to obtain a final recommendation in terms of the best choice or of the ranking.

U2 - 10.1016/j.ejor.2007.03.036

DO - 10.1016/j.ejor.2007.03.036

M3 - Article

SN - 0377-2217

VL - 188

SP - 206

EP - 223

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 1

ER -

Multicriteria decision support using rules that represent rough-graded preference relations

Abstract

Access to Document

Fingerprint

Cite this