首页|基于异质在线评论信息的多准则决策方法研究

基于异质在线评论信息的多准则决策方法研究

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随着信息技术的发展,互联网中积累了大量有价值的信息,这些信息已成为多准则决策重要的信息来源.由于个人知识背景、经验、表达习惯以及不同准则特质的不同,在线评论信息通常由多种形式的信息组成,如实数、区间数和文本信息.这种异质信息会给决策过程中的信息处理、融合和方案选择带来新的挑战.为了应对这些挑战,本文提出了一种基于异质在线评论信息的多准则决策方法.首先,通过数据获取与预处理方法,获得与决策问题相关的异质在线评论信息.其次,提出了一种异质信息处理方法,将不同形式的信息统一处理为分布在同一识别框架上的语言分布信息.然后,为了应对在线评论信息中的模糊和不确定性,提出了一种区间权重确定模型和一种基于证据推理算法的信息融合方法.最后,通过一个关于汽车评估的案例分析验证了将所提出的多准则决策方法的实用性和有效性.
Research on multi-criteria decision-making method based on heterogeneous online reviews
With the development of information technology,a large amount of valuable informa-tion has been accumulated in the Internet,which has become an important source of information in multi-criteria decision-making(MCDM).Due to the differences of personal knowledge back-ground,experience,expression habits,and different criteria characteristics,online reviews usually consists of many forms of information,such as crisp numbers,interval numbers,and text.This heterogeneity of information will bring new challenges to information processing,fusion and al-ternative selection in the decision process.In order to address these challenges,a MCDM method based on heterogeneous online reviews is proposed.First,heterogeneous online reviews related to decision-making problems are obtained through data acquisition and preprocessing methods.Then,a heterogeneous information processing method is proposed to uniformly process these dif-ferent forms of information into linguistic distribution information.Next,in order to cope with the ambiguity and uncertainty in online information,an interval weight determination model and an information fusion method based on evidence reasoning algorithm are proposed.Finally,the practicality and validity are verified by a case study regarding vehicle evaluation.

heterogeneous online reviewsmulti-criteria decision makingheterogeneous infor-mation processinginterval weight determinationinformation fusion

何世繁、潘晓宏、王应明

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福州大学经济与管理学院,福州 350108

青岛大学商学院,青岛 266061

异质在线评论信息 多准则决策 异质信息处理 区间权重确定 信息融合

国家自然科学基金国家自然科学基金

7237107772301149

2024

系统工程理论与实践
中国系统工程学会

系统工程理论与实践

CSTPCDCSSCI北大核心
影响因子:1.575
ISSN:1000-6788
年,卷(期):2024.44(4)
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