Abstract
The consensus process plays a decisive role in a group decision making problem. From a perspective of optimization, various consensus models have been presented to help the group reach a predefined consensus level. The aim of this paper is to propose a new minimum cost consensus model and its dual model in an uncertain situation. In this new model, different individual tolerance levels are allowed and the group opinion is obtained by the weighted average (WA) operator. In such a model, the moderator does not need to pay if the changed opinion of a decision maker is still under the tolerance level of that decision maker. Moreover, the decision makers do not need to change their opinions into a common value to reach the consensus level. The proposed dual consensus model has some significant economic interpretations. Some properties with respect to the two proposed consensus models are analyzed. The validity of the proposed models is illustrated by a numerical example.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ben-Arieh D, Easton T (2007) Multi-criteria group consensus under linear cost opinion elasticity. Decis Support Syst 43(3):713–721
Ben-Arieh D, Easton T, Evans B (2009) Minimum cost consensus with quadratic cost functions. IEEE Trans Syst Man Cybern Part A Syst Hum 39:210–217
Cabrerizo FJ, Chiclana F et al (2015) Fuzzy decision making and consensus: challenges. J Intell Fuzzy Syst 29:1109–1118
Cabrerizo FJ, Pérez IJ (2017) Group decision making: consensus approaches based on soft consensus measures. In: Fuzzy Sets, Rough Sets. Multisets and Clustering. Springer, Cham, pp 307–321
Dong QX, Cooper O (2016) A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making. Eur J Oper Res 250:521–530
Dong Y, Xu J (2016) Consensus building in group decision making. Springer, Singapore
Dong Y, Zhang H, Herrera-Viedma E (2016) Integrating experts’ weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors. Decis Support Syst 84:1–15
Dong Y, Ding Z (2017) Managing consensus based on leadership in opinion dynamics. Inf Sci 397:187–205
Gong Z, Xu X (2015) The consensus models with interval preference opinions and their economic interpretation. Omega 55:81–90
Gong Z, Zhang H (2015) Two consensus models based on the minimum cost and maximum return regarding either all individuals or one individual. Eur J Oper Res 240:183–192
Herrera-Viedma E, Herrera F, Chiclana F (2002) A consensus model for multiperson decision making with different preference structures. IEEE Trans Syst Man Cybern Part A Syst Hum 32:394–402
Labella Á, Estrella FJ, Martínez L (2017) AFRYCA 2.0: an improved analysis framework for consensus reaching processes. Prog Artif Intell 6:181–194
Liu F, Wu Y, Pedrycz W (2018) A modified consensus model in group decision making with an allocation of information granularity. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2018.2793885
Wu J, Dai L (2018) A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust. Inf Fusion 41:232–242
Wu Z, Xu J (2016) Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations. Omega 65:28–40
Wu Z, Xu J (2016) Possibility distribution-based approach for MAGDM with hesitant fuzzy linguistic information. IEEE Trans Cybern 46:694–705
Wu Z, Xu J (2018) A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters. Inf Fusion 41:217–231
Zhang G, Dong Y (2011) Minimum-cost consensus models under aggregation operators. IEEE Trans Syst Man Cybern Part A Syst Hum 41:1253–1261
Zhang B, Dong Y, Xu Y (2014) Multiple attribute consensus rules with minimum adjustments to support consensus reaching. Knowl Based Syst 67:35–48
Zhang B, Liang H, Zhang G (2018) Reaching a consensus with minimum adjustment in MAGDM with hesitant fuzzy linguistic term sets. Inf Fusion 42:12–23
Acknowledgements
The research was supported by the National Natural Science Foundation of China (Nos. 71671118 and 71601134).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Yang, X., Wu, Z., Xu, J., Qiu, R. (2019). A Minimum Cost Consensus Model Considering Individual Tolerance Levels. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-93351-1_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93350-4
Online ISBN: 978-3-319-93351-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)