Grey target group decision model based on expected intervals of experts
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Xie, Xudong | |
dc.contributor.author | Hu, Mingli | |
dc.contributor.author | Yang, Yingjie | |
dc.contributor.author | Zhang, Yuwen | |
dc.date.acceptance | 2020-07-06 | |
dc.date.accessioned | 2020-10-05T14:56:09Z | |
dc.date.available | 2020-10-05T14:56:09Z | |
dc.date.issued | 2020 | |
dc.description.abstract | In group decision-making, the behavior expectation of the relevant experts has a significant impact on the selection result of the group decision-making. To address this challenge, a grey target group decision-making model based on expert’s expectations was proposed. The article considers the expert's expectations based on the distance between the expert's expected interval of each index and the average (bull’s-eye), and the expert weights are derived from their expected interval. The value matrix is then normalized for the degree of interval coincidence between the expert’s evaluations and his/her expected interval for the index. Finally, the paper proves the validity and feasibility of the proposed method through a case comparison analysis. | en |
dc.funder | Other external funder (please detail below) | en |
dc.funder.other | Royal Society | en |
dc.identifier.citation | Xie, X., Hu, M., Yang, Y. and Zhang, Y. (2020) Grey target group decision model based on expected intervals of experts. Journal of Grey System, Vol. 25, No. 2, pp.129-138. | en |
dc.identifier.issn | 0957-3720 | |
dc.identifier.uri | https://dora.dmu.ac.uk/handle/2086/20237 | |
dc.language.iso | en | en |
dc.peerreviewed | Yes | en |
dc.projectid | IEC\NSFC\170391 | en |
dc.publisher | Research Information Ltd | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.subject | Grey target group decision-making | en |
dc.subject | Degree of interval coincidence | en |
dc.subject | Expected interval | en |
dc.subject | Expert weight | en |
dc.title | Grey target group decision model based on expected intervals of experts | en |
dc.type | Article | en |