A novel linguistic decision-making method based on the voting model for large-scale linguistic decision making

• DOI: 10.1007/s00500-021-06382-0
• Publication Date: 2021-11-13T15:02:37Z
• Authors: Li Yan; Zheng Pei
• Keywords: Deep linguistic processing; Linguistic description; Representation; Linguistic sequence complexity; Group Decision Making

Abstract The notable characteristic of large-scale linguistic decision-making problems is that there are so many decision makers who provide assessments by using fuzzy representation models. In real-world applications, terms mean different things for people, and based on models may be simultaneous in the same problems. To this end, a novel method voting model proposed paper to deal with multi-linguistic provided makers. process, evaluation-based defined matrix designed represent models, properties analyzed show can simultaneously represented. Based matrix, new framework developed assessments, which normalization trust degrees contained, more important, 2-tuple aggregation operators, an uniform fusion aggregate Finally, user experiences shared bikes, problem employed furthermore, compared existing methods example, it seems useful effective tools assessments.