针对不确定 MAGDM 的高级 CoCoSo 方法:评估大学生的创业技能

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Lijun Li, Zhuolin Xiao
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引用次数: 0

摘要

随着国家提出的 "大众创新、万众创业 "的创新发展驱动战略的深入实施,高校作为培养创新创业人才的主阵地,根据国家深化高校创新创业教育的相关政策和实施意见,建立了多层次、全方位的大学生创新创业能力培养体系,积极促进大学生创新创业能力的提高。大学生创新创业能力评价可视为经典的多属性群体决策(MAGDM)问题。PULTSs 可以很好地描述大学生创新创业能力评价过程中的不确定性信息,而组合折中解(CoCoSo)方法适合于稳定决策结果。本文提出了基于概率不确定语言集(PULTSs)的概率不确定语言组合折中解(PUL-CoCoSo)方法和组合折中解方法,用于多属性分组决策(MAGDM)。在 PULTSs 下获得了基于 CRITIC 方法的属性权重。最后,通过一个与大学生创新创业能力评价相关的应用,展示了所开发算法的使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced CoCoSo method for uncertain MAGDM: Evaluating college students’ entrepreneurial skills
With the in-depth implementation of the innovative development-driven strategy of “mass innovation and entrepreneurship” put forward by the state, colleges and universities, as the main positions for cultivating innovative and entrepreneurial talents, have set up a multi-level and all-round training system for college students’ innovative and entrepreneurial ability according to the relevant policies and implementation opinions of the state for deepening innovation and entrepreneurship education in colleges and universities, and actively promoted the improvement of college students’ innovative and entrepreneurial ability. The college students’ innovation and entrepreneurship ability evaluation could be regarded as the classical multiple attribute group decision making (MAGDM) issue. The PULTSs could well depict uncertain information during the college students’ innovation and entrepreneurship ability evaluation and the combined compromise solution (CoCoSo) method is appropriate to stable the decision-making results. In this paper, the probabilistic uncertain linguistic combined compromise solution (PUL-CoCoSo) method based on the probabilistic uncertain linguistic sets (PULTSs) and combined compromise solution method is proposed for multiple attribute group decision making (MAGDM). The weights of attribute based on the CRITIC method are obtained under PULTSs. Finally, an application related to the college students’ innovation and entrepreneurship ability evaluation is utilized to demonstrate the usage of the developed algorithms.
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CiteScore
2.10
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发文量
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