Skip to content
Back to outputs

Decision rule approach

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

Standard

Decision rule approach. / Greco, Salvatore; Matarazzo, B.; Slowinski, R.

Multiple criteria decision analysis: state of the art surveys. Vol. 5. ed. / Salvatore Greco; B. Matarazzo; R. Slowinski. Vol. 78 78. ed. New York : Springer, 2005. p. 507-555 (International series in operations research & management science; No. 78).

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

Harvard

Greco, S, Matarazzo, B & Slowinski, R 2005, Decision rule approach. in S Greco, B Matarazzo & R Slowinski (eds), Multiple criteria decision analysis: state of the art surveys. Vol. 5. 78 edn, vol. 78, International series in operations research & management science, no. 78, Springer, New York, pp. 507-555. https://doi.org/10.1007/0-387-23081-5_13

APA

Greco, S., Matarazzo, B., & Slowinski, R. (2005). Decision rule approach. In S. Greco, B. Matarazzo, & R. Slowinski (Eds.), Multiple criteria decision analysis: state of the art surveys. Vol. 5 (78 ed., Vol. 78, pp. 507-555). (International series in operations research & management science; No. 78). Springer. https://doi.org/10.1007/0-387-23081-5_13

Vancouver

Greco S, Matarazzo B, Slowinski R. Decision rule approach. In Greco S, Matarazzo B, Slowinski R, editors, Multiple criteria decision analysis: state of the art surveys. Vol. 5. 78 ed. Vol. 78. New York: Springer. 2005. p. 507-555. (International series in operations research & management science; 78). https://doi.org/10.1007/0-387-23081-5_13

Author

Greco, Salvatore ; Matarazzo, B. ; Slowinski, R. / Decision rule approach. Multiple criteria decision analysis: state of the art surveys. Vol. 5. editor / Salvatore Greco ; B. Matarazzo ; R. Slowinski. Vol. 78 78. ed. New York : Springer, 2005. pp. 507-555 (International series in operations research & management science; 78).

Bibtex

@inbook{6619ab7830954836a3c65177eea21e85,
title = "Decision rule approach",
abstract = "We present the methodology of Multiple-Criteria Decision Aiding (MCDA) based on preference modelling in terms of {"}if..., then...{"} decision rules. The basic assumption of the decision rule approach is that the decision maker (DM) accepts to give preferential information in terms of examples of decisions and looks for simple rules justifying her decisions. An important advantage of this approach is the possibility of handling inconsistencies in the preferential information, resulting from hesitations of the DM. The proposed methodology is based on the elementary, natural and rational principle of dominance. It says that if action is at least as good as action on each criterion from a considered family, then is also comprehensively at least as good as The set of decision rules constituting the preference model is induced from the preferential information using a knowledge discovery technique properly modified, so as to handle the dominance principle. The mathematical basis of the decision rule approach to MCDA is the Dominance-based Rough Set Approach (DRSA) developed by the authors. We present some basic applications of this approach, along with didactic examples whose aim is to show in an easy way how DRSA can be used in various contexts of MCDA.",
author = "Salvatore Greco and B. Matarazzo and R. Slowinski",
year = "2005",
doi = "10.1007/0-387-23081-5_13",
language = "English",
isbn = "9780387230672",
volume = "78",
series = "International series in operations research & management science",
publisher = "Springer",
number = "78",
pages = "507--555",
editor = "Salvatore Greco and B. Matarazzo and R. Slowinski",
booktitle = "Multiple criteria decision analysis: state of the art surveys. Vol. 5",
edition = "78",

}

RIS

TY - CHAP

T1 - Decision rule approach

AU - Greco, Salvatore

AU - Matarazzo, B.

AU - Slowinski, R.

PY - 2005

Y1 - 2005

N2 - We present the methodology of Multiple-Criteria Decision Aiding (MCDA) based on preference modelling in terms of "if..., then..." decision rules. The basic assumption of the decision rule approach is that the decision maker (DM) accepts to give preferential information in terms of examples of decisions and looks for simple rules justifying her decisions. An important advantage of this approach is the possibility of handling inconsistencies in the preferential information, resulting from hesitations of the DM. The proposed methodology is based on the elementary, natural and rational principle of dominance. It says that if action is at least as good as action on each criterion from a considered family, then is also comprehensively at least as good as The set of decision rules constituting the preference model is induced from the preferential information using a knowledge discovery technique properly modified, so as to handle the dominance principle. The mathematical basis of the decision rule approach to MCDA is the Dominance-based Rough Set Approach (DRSA) developed by the authors. We present some basic applications of this approach, along with didactic examples whose aim is to show in an easy way how DRSA can be used in various contexts of MCDA.

AB - We present the methodology of Multiple-Criteria Decision Aiding (MCDA) based on preference modelling in terms of "if..., then..." decision rules. The basic assumption of the decision rule approach is that the decision maker (DM) accepts to give preferential information in terms of examples of decisions and looks for simple rules justifying her decisions. An important advantage of this approach is the possibility of handling inconsistencies in the preferential information, resulting from hesitations of the DM. The proposed methodology is based on the elementary, natural and rational principle of dominance. It says that if action is at least as good as action on each criterion from a considered family, then is also comprehensively at least as good as The set of decision rules constituting the preference model is induced from the preferential information using a knowledge discovery technique properly modified, so as to handle the dominance principle. The mathematical basis of the decision rule approach to MCDA is the Dominance-based Rough Set Approach (DRSA) developed by the authors. We present some basic applications of this approach, along with didactic examples whose aim is to show in an easy way how DRSA can be used in various contexts of MCDA.

U2 - 10.1007/0-387-23081-5_13

DO - 10.1007/0-387-23081-5_13

M3 - Chapter (peer-reviewed)

SN - 9780387230672

VL - 78

T3 - International series in operations research & management science

SP - 507

EP - 555

BT - Multiple criteria decision analysis: state of the art surveys. Vol. 5

A2 - Greco, Salvatore

A2 - Matarazzo, B.

A2 - Slowinski, R.

PB - Springer

CY - New York

ER -

ID: 232525