首页|基于改进区间直觉模糊多属性群决策的在线知识付费产品评价方法研究

基于改进区间直觉模糊多属性群决策的在线知识付费产品评价方法研究

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针对在线知识付费产品评价与优选问题,从知识付费产品和知识生产者两个维度设计评价属性,提出一种改进的区间直觉模糊多属性群决策方法.首先,考虑决策者的专业性,确定每一属性的决策者权重;其次,构建一种基于信息和知识交流的共识达成模型,使关键性决策信息和知识不会被修改;然后,为了更准确地刻画决策者的心理偏好,提出一种改进前景理论的价值函数;最后,利用一个案例研究,验证了所提方法的有效性,并通过与现有决策方法的对比分析,证实了所提方法的创新性.本研究不仅能从产品质量评价视角为研究在线知识付费产品提供新的研究思路,还能帮助在线知识付费平台评价在线知识付费产品,进而督促知识生产者提高产品质量.
Evaluation method of online knowledge paid products based on an improved interval-valued intuitionistic fuzzy multi-attribute group decision making
To address the evaluation and selection problem of online knowledge payment products,the evaluation attributes from two dimensions of knowledge payment products and knowledge producers were designed,and an improved interval-valued intuitionistic fuzzy multi-attribute group decision making method was proposed.The decision maker weights of each attribute were determined by considering the expertise of decision makers;a consensus reaching model based on information and knowl-edge exchange was constructed so that critical decision information and knowledge would not be modified;then,a value func-tion of improved prospect theory was used to more accurately portray the psychological preferences of decision makers.A case study was used to verify the effectiveness of the proposed method,and the innovative nature of the proposed method was con-firmed by a comparative analysis with existing decision-making methods.This paper not only provided new research ideas for studying online knowledge payment products from the perspective of product quality evaluation,but also helped online knowl-edge payment platforms to evaluate online knowledge payment products,and then urged knowledge producers to improve prod-uct quality.

online knowledge payment productsinterval-valued intuitionistic fuzzy setsconsensus reachingdecision maker weights for attributesprospect theory

苏加福、王丹、徐保健、樊兢、张凤婷

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重庆工商大学智能制造服务国际科技合作基地,重庆 400067

格乐大学国际学院,曼谷 泰国 10220

广西财经学院经济与贸易学院,广西 南宁 530007

在线知识付费产品 区间直觉模糊集 共识达成 属性的决策权重 前景理论

国家社科基金一般项目

23BGL061

2024

计算机集成制造系统
中国兵器工业集团第210研究所

计算机集成制造系统

CSTPCD北大核心
影响因子:1.092
ISSN:1006-5911
年,卷(期):2024.30(7)