Fuzzy levels of preference strength in a graph model with multiple decision makers
| dc.contributor.author | Yu, Jing | |
| dc.contributor.author | Hipel, Keith W. | |
| dc.contributor.author | Kilgour, D. Marc | |
| dc.contributor.author | Fang, Liping | |
| dc.date.accessioned | 2020-03-18T16:28:14Z | |
| dc.date.available | 2020-03-18T16:28:14Z | |
| dc.date.issued | 2019-12-15 | |
| dc.description | The final publication is available at Elsevier via https://doi.org/10.1016/j.fss.2018.12.016. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.description.abstract | A new hybrid preference structure combining multiple-level strength of preference and fuzzy preference is proposed to facilitate the modeling and analysis of strategic conflicts involving multiple decision makers (DMs) with complex preferences using the Graph Model for Conflict Resolution (GMCR). The new preference structure, named fuzzy strength of preference, provides a more comprehensive and flexible representation of DMs' relative preferences among states. A key contribution of this paper is to redefine four graph model stability definitions for fuzzy preferences, fuzzy Nash stability (FNash), fuzzy general metarationality (FGMR), fuzzy symmetric metarationality (FSMR), and fuzzy sequential stability (FSEQ), as general stabilities, strong stabilities, and weak stabilities at each level, permitting deeper analysis of graph models with the new preference structure. The resulting methodology can be utilized to model and analyze complex multiple-DM conflicts, thereby enhancing the capability of the graph model to provide strategic insights. A graph model of the Zhanghe River water allocation conflict in China demonstrates that the method can find the evolution path of a conflict and give new strategic insights for both practitioners and researchers. The fuzzy strength of preference framework makes GMCR more capable for addressing a wider range of practical conflicts. | en |
| dc.description.sponsorship | This work was supported by the National Natural Science Foundation of China [Grant Numbers 71603116, 71704068]; Major Program of National Social Science Foundation of China [Grant Number 15ZDA053]; Key Program of the National Social Science Foundation Project of China [Grant Number 14AZD021]; the Natural Science Foundation of Jiangsu Province [Grant Number BK20171422], and the Fundamental Research Funds for the Central Universities [Grant Numbers 30918013106, 30918014110]. | en |
| dc.identifier.uri | https://doi.org/10.1016/j.fss.2018.12.016 | |
| dc.identifier.uri | http://hdl.handle.net/10012/15699 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | decision analysis | en |
| dc.subject | graph model for conflict resolution | en |
| dc.subject | multiple levels of preference | en |
| dc.subject | fuzzy preference | en |
| dc.subject | stability definitions | en |
| dc.title | Fuzzy levels of preference strength in a graph model with multiple decision makers | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | J. Yu et al., Fuzzy levels of preference strength in a graph model with multiple decision makers, Fuzzy Sets Syst. (2018), https://doi.org/10.1016/j.fss.2018.12.016 | en |
| uws.contributor.affiliation1 | Faculty of Engineering | en |
| uws.contributor.affiliation2 | Systems Design Engineering | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |
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