Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences

Salem Chakhar; Ines Saad; Ashraf Labib; Alessio Ishizaka

doi:10.1007/978-3-030-85977-0_5

Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences

Salem Chakhar, Ines Saad, Ashraf Labib, Alessio Ishizaka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Downloads (Pure)

Abstract

Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a multicriteria classification approach that relies on an aggregation/disaggregation strategy within a group of decision makers, permitting thus to considerably reduce the needed cognitive effort at individual as well as group levels. The aggregation/disaggregation strategy is known for its ability to reduce the cognitive effort at the level of individual decision makers. At group level, a simple majority rule is used to generate consensual decisions with no additional information from the decision makers. A didactic example is used to illustrate the proposed approach.

Original language	English
Title of host publication	Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.
Editors	Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin
Publisher	Springer
Pages	52-67
Number of pages	16
Volume	425
ISBN (Electronic)	9783030859770
ISBN (Print)	9783030859763
DOIs	https://doi.org/10.1007/978-3-030-85977-0_5
Publication status	Published - 28 Aug 2021
Event	5th International Conference on Information and Knowledge Systems: ICIKS 2021 - Duration: 22 Jun 2021 → 23 Jun 2021

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	425
ISSN (Print)	1865-1348

Conference

Conference	5th International Conference on Information and Knowledge Systems
Period	22/06/21 → 23/06/21

Keywords

group decision making
aggregation/disaggregation approach
cognitive effort
majority principle

Access to Document

10.1007/978-3-030-85977-0_5

Cognitive Effort Reduction within Group Decision Making
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/[insert DOI]
Accepted author manuscript (Post-print), 206 KB

Cite this

Chakhar, S., Saad, I., Labib, A., & Ishizaka, A. (2021). Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences. In I. Saad, C. Rosenthal-Sabroux, F. Gargouri, & P-E. Arduin (Eds.), Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021. (Vol. 425, pp. 52-67). (Lecture Notes in Business Information Processing; Vol. 425). Springer. https://doi.org/10.1007/978-3-030-85977-0_5

Chakhar, Salem ; Saad, Ines ; Labib, Ashraf et al. / Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences. Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.. editor / Inès Saad ; Camille Rosenthal-Sabroux ; Faiez Gargouri ; Pierre-Emmanuel Arduin. Vol. 425 Springer, 2021. pp. 52-67 (Lecture Notes in Business Information Processing).

@inproceedings{8d4562b5fa644454b55b346ce4824e04,

title = "Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences",

abstract = "Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a multicriteria classification approach that relies on an aggregation/disaggregation strategy within a group of decision makers, permitting thus to considerably reduce the needed cognitive effort at individual as well as group levels. The aggregation/disaggregation strategy is known for its ability to reduce the cognitive effort at the level of individual decision makers. At group level, a simple majority rule is used to generate consensual decisions with no additional information from the decision makers. A didactic example is used to illustrate the proposed approach.",

keywords = "group decision making, aggregation/disaggregation approach, cognitive effort, majority principle",

author = "Salem Chakhar and Ines Saad and Ashraf Labib and Alessio Ishizaka",

year = "2021",

month = aug,

day = "28",

doi = "10.1007/978-3-030-85977-0_5",

language = "English",

isbn = "9783030859763",

volume = "425",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer",

pages = "52--67",

editor = "In{\`e}s Saad and Camille Rosenthal-Sabroux and Faiez Gargouri and Pierre-Emmanuel Arduin",

booktitle = "Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.",

note = "5th International Conference on Information and Knowledge Systems : ICIKS 2021 ; Conference date: 22-06-2021 Through 23-06-2021",

}

Chakhar, S, Saad, I, Labib, A & Ishizaka, A 2021, Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences. in I Saad, C Rosenthal-Sabroux, F Gargouri & P-E Arduin (eds), Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.. vol. 425, Lecture Notes in Business Information Processing, vol. 425, Springer, pp. 52-67, 5th International Conference on Information and Knowledge Systems, 22/06/21. https://doi.org/10.1007/978-3-030-85977-0_5

Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences. / Chakhar, Salem; Saad, Ines; Labib, Ashraf et al.
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.. ed. / Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Vol. 425 Springer, 2021. p. 52-67 (Lecture Notes in Business Information Processing; Vol. 425).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences

AU - Chakhar, Salem

AU - Saad, Ines

AU - Labib, Ashraf

AU - Ishizaka, Alessio

PY - 2021/8/28

Y1 - 2021/8/28

N2 - Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a multicriteria classification approach that relies on an aggregation/disaggregation strategy within a group of decision makers, permitting thus to considerably reduce the needed cognitive effort at individual as well as group levels. The aggregation/disaggregation strategy is known for its ability to reduce the cognitive effort at the level of individual decision makers. At group level, a simple majority rule is used to generate consensual decisions with no additional information from the decision makers. A didactic example is used to illustrate the proposed approach.

AB - Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a multicriteria classification approach that relies on an aggregation/disaggregation strategy within a group of decision makers, permitting thus to considerably reduce the needed cognitive effort at individual as well as group levels. The aggregation/disaggregation strategy is known for its ability to reduce the cognitive effort at the level of individual decision makers. At group level, a simple majority rule is used to generate consensual decisions with no additional information from the decision makers. A didactic example is used to illustrate the proposed approach.

KW - group decision making

KW - aggregation/disaggregation approach

KW - cognitive effort

KW - majority principle

UR - https://iciks.org/

U2 - 10.1007/978-3-030-85977-0_5

DO - 10.1007/978-3-030-85977-0_5

M3 - Conference contribution

SN - 9783030859763

VL - 425

T3 - Lecture Notes in Business Information Processing

SP - 52

EP - 67

BT - Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.

A2 - Saad, Inès

A2 - Rosenthal-Sabroux, Camille

A2 - Gargouri, Faiez

A2 - Arduin, Pierre-Emmanuel

PB - Springer

T2 - 5th International Conference on Information and Knowledge Systems

Y2 - 22 June 2021 through 23 June 2021

ER -

Chakhar S, Saad I, Labib A , Ishizaka A. Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences. In Saad I, Rosenthal-Sabroux C, Gargouri F, Arduin P-E, editors, Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021.. Vol. 425. Springer. 2021. p. 52-67. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-030-85977-0_5

Cognitive effort reduction within group decision making through aggregation and disaggregation of individual preferences

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this