Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

S. Corrente; J. Figueira; Salvatore Greco

doi:10.1007/978-3-642-31724-8_49

Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

S. Corrente, J. Figueira, Salvatore Greco

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).

Original language	English
Title of host publication	Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4
Editors	Salvatore Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, R. Yager
Place of Publication	Berlin
Publisher	Springer
Pages	469-479
Number of pages	11
Volume	300
Edition	300
ISBN (Print)	9783642317231
DOIs	https://doi.org/10.1007/978-3-642-31724-8_49
Publication status	Published - 2012

Publication series

Name	Communications in computer and information science
Publisher	Springer
Number	300
ISSN (Print)	1865-0929

Access to Document

10.1007/978-3-642-31724-8_49

http://link.springer.com/chapter/10.1007%2F978-3-642-31724-8_49

Cite this

Corrente, S., Figueira, J., & Greco, S. (2012). Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods. In S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, & R. Yager (Eds.), Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4 (300 ed., Vol. 300, pp. 469-479). (Communications in computer and information science; No. 300). Springer. https://doi.org/10.1007/978-3-642-31724-8_49

Corrente, S. ; Figueira, J. ; Greco, Salvatore. / Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods. Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4. editor / Salvatore Greco ; B. Bouchon-Meunier ; G. Coletti ; M. Fedrizzi ; B. Matarazzo ; R. Yager. Vol. 300 300. ed. Berlin : Springer, 2012. pp. 469-479 (Communications in computer and information science; 300).

@inbook{7558ef64a4cb463cacf31c582ea64f13,

title = "Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods",

abstract = "In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).",

author = "S. Corrente and J. Figueira and Salvatore Greco",

year = "2012",

doi = "10.1007/978-3-642-31724-8_49",

language = "English",

isbn = "9783642317231",

volume = "300",

series = "Communications in computer and information science",

publisher = "Springer",

number = "300",

pages = "469--479",

editor = "Salvatore Greco and B. Bouchon-Meunier and G. Coletti and M. Fedrizzi and B. Matarazzo and R. Yager",

booktitle = "Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4",

edition = "300",

}

Corrente, S, Figueira, J & Greco, S 2012, Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods. in S Greco, B Bouchon-Meunier, G Coletti, M Fedrizzi, B Matarazzo & R Yager (eds), Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4. 300 edn, vol. 300, Communications in computer and information science, no. 300, Springer, Berlin, pp. 469-479. https://doi.org/10.1007/978-3-642-31724-8_49

Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods. / Corrente, S.; Figueira, J.; Greco, Salvatore.
Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4. ed. / Salvatore Greco; B. Bouchon-Meunier; G. Coletti; M. Fedrizzi; B. Matarazzo; R. Yager. Vol. 300 300. ed. Berlin: Springer, 2012. p. 469-479 (Communications in computer and information science; No. 300).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

AU - Corrente, S.

AU - Figueira, J.

AU - Greco, Salvatore

PY - 2012

Y1 - 2012

N2 - In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).

AB - In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).

U2 - 10.1007/978-3-642-31724-8_49

DO - 10.1007/978-3-642-31724-8_49

M3 - Chapter (peer-reviewed)

SN - 9783642317231

VL - 300

T3 - Communications in computer and information science

SP - 469

EP - 479

BT - Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4

A2 - Greco, Salvatore

A2 - Bouchon-Meunier, B.

A2 - Coletti, G.

A2 - Fedrizzi, M.

A2 - Matarazzo, B.

A2 - Yager, R.

PB - Springer

CY - Berlin

ER -

Corrente S, Figueira J, Greco S. Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods. In Greco S, Bouchon-Meunier B, Coletti G, Fedrizzi M, Matarazzo B, Yager R, editors, Advances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4. 300 ed. Vol. 300. Berlin: Springer. 2012. p. 469-479. (Communications in computer and information science; 300). doi: 10.1007/978-3-642-31724-8_49

Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

Abstract

Publication series

Access to Document

Fingerprint

Cite this