Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making

Ivan Palomares; Michael Crosscombe; Zhen Song Chen; Jonathan Lawry

doi:10.1109/SMC.2018.00561

Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making

Ivan Palomares, Michael Crosscombe, Zhen Song Chen, Jonathan Lawry

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

301 Downloads (Pure)

Abstract

This paper investigates the problem of measuring consensus in multi-perspective Multi-Criteria Group Decision Making (MCGDM) problems, in which participants have individual views on the relative importance of different evaluation criteria. A novel dual consensus measure for multi-perspective MCGDM problems is introduced. The proposed measure determines the level of agreement between participants' opinions based on: (i) the global performance or satisfaction of alternatives, (ii) their partial performances of alternatives under each criterion, and (iii) the similarity between the perspectives of participants regarding criteria weights. Preliminary experiments are conducted for an example multi-perspective MCGDM scenario. The degree to which global and partial performance information are jointly taken into account - together with the actual pairwise distances between the opinions of participants - are shown to directly affect the overall measurement of consensus in the group. An application example is introduced in a MCGDM problem on selecting the safest logistic route to transport hazardous materials.

Original language	English
Title of host publication	2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3313-3318
Number of pages	6
ISBN (Electronic)	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00561
Publication status	Published - 17 Jan 2019
Event	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 7 Oct 2018 → 10 Oct 2018

Publication series

Name	IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Publisher	IEEE
ISSN (Print)	1062-922X

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/Territory	Japan
City	Miyazaki
Period	7/10/18 → 10/10/18

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10.1109/SMC.2018.00561

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Palomares, I., Crosscombe, M., Chen, Z. S., & Lawry, J. (2019). Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. In 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018) (pp. 3313-3318). Article 8616558 (IEEE International Conference on Systems, Man, and Cybernetics (SMC)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SMC.2018.00561

Palomares, Ivan ; Crosscombe, Michael ; Chen, Zhen Song et al. / Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018). Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 3313-3318 (IEEE International Conference on Systems, Man, and Cybernetics (SMC)).

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title = "Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making",

abstract = "This paper investigates the problem of measuring consensus in multi-perspective Multi-Criteria Group Decision Making (MCGDM) problems, in which participants have individual views on the relative importance of different evaluation criteria. A novel dual consensus measure for multi-perspective MCGDM problems is introduced. The proposed measure determines the level of agreement between participants' opinions based on: (i) the global performance or satisfaction of alternatives, (ii) their partial performances of alternatives under each criterion, and (iii) the similarity between the perspectives of participants regarding criteria weights. Preliminary experiments are conducted for an example multi-perspective MCGDM scenario. The degree to which global and partial performance information are jointly taken into account - together with the actual pairwise distances between the opinions of participants - are shown to directly affect the overall measurement of consensus in the group. An application example is introduced in a MCGDM problem on selecting the safest logistic route to transport hazardous materials.",

author = "Ivan Palomares and Michael Crosscombe and Chen, {Zhen Song} and Jonathan Lawry",

year = "2019",

month = jan,

day = "17",

doi = "10.1109/SMC.2018.00561",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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booktitle = "2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)",

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note = "2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

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Palomares, I, Crosscombe, M, Chen, ZS & Lawry, J 2019, Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. in 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)., 8616558, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Institute of Electrical and Electronics Engineers (IEEE), pp. 3313-3318, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 7/10/18. https://doi.org/10.1109/SMC.2018.00561

Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. / Palomares, Ivan; Crosscombe, Michael; Chen, Zhen Song et al.
2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018). Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 3313-3318 8616558 (IEEE International Conference on Systems, Man, and Cybernetics (SMC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making

AU - Palomares, Ivan

AU - Crosscombe, Michael

AU - Chen, Zhen Song

AU - Lawry, Jonathan

PY - 2019/1/17

Y1 - 2019/1/17

N2 - This paper investigates the problem of measuring consensus in multi-perspective Multi-Criteria Group Decision Making (MCGDM) problems, in which participants have individual views on the relative importance of different evaluation criteria. A novel dual consensus measure for multi-perspective MCGDM problems is introduced. The proposed measure determines the level of agreement between participants' opinions based on: (i) the global performance or satisfaction of alternatives, (ii) their partial performances of alternatives under each criterion, and (iii) the similarity between the perspectives of participants regarding criteria weights. Preliminary experiments are conducted for an example multi-perspective MCGDM scenario. The degree to which global and partial performance information are jointly taken into account - together with the actual pairwise distances between the opinions of participants - are shown to directly affect the overall measurement of consensus in the group. An application example is introduced in a MCGDM problem on selecting the safest logistic route to transport hazardous materials.

AB - This paper investigates the problem of measuring consensus in multi-perspective Multi-Criteria Group Decision Making (MCGDM) problems, in which participants have individual views on the relative importance of different evaluation criteria. A novel dual consensus measure for multi-perspective MCGDM problems is introduced. The proposed measure determines the level of agreement between participants' opinions based on: (i) the global performance or satisfaction of alternatives, (ii) their partial performances of alternatives under each criterion, and (iii) the similarity between the perspectives of participants regarding criteria weights. Preliminary experiments are conducted for an example multi-perspective MCGDM scenario. The degree to which global and partial performance information are jointly taken into account - together with the actual pairwise distances between the opinions of participants - are shown to directly affect the overall measurement of consensus in the group. An application example is introduced in a MCGDM problem on selecting the safest logistic route to transport hazardous materials.

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T3 - IEEE International Conference on Systems, Man, and Cybernetics (SMC)

SP - 3313

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BT - 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018)

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Palomares I, Crosscombe M, Chen ZS, Lawry J. Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. In 2018 IEEE International Conference on Systems, Man and Cybernetics (SMC 2018). Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 3313-3318. 8616558. (IEEE International Conference on Systems, Man, and Cybernetics (SMC)). doi: 10.1109/SMC.2018.00561

Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making

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