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Video conferencing software selection based on hybrid MCDM and cumulative prospect theory under a major epidemic
Journal of Intelligent & Fuzzy Systems ( IF 1.7 ) Pub Date : 2021-08-26 , DOI: 10.3233/jifs-211054
Jie Xu 1 , Jian Lv 2 , Hong-Tai Yang 3 , Yan-Lai Li 4
Affiliation  

The video conferencing software is regarded as a significant tool for social distancing and getting incorporations up and going. Due to the indeterminacy of epidemic evolution and the multiple criteria, this paper proposes a video conferencing software selection method based on hybrid multi-criteria decision making (HMCDM) under risk and cumulative prospect theory (CPT), in which the criteria values are expressed in various mathematical forms (e.g., real numbers, interval numbers, and linguistic terms) and can be changed with natural states of the epidemic. Initially, the detailed description of video conferencing software selection problem under an epidemic are given. Subsequently, a whole procedure for video conferencing software selection is conducted, the approaches for processing and normalizing the multi-format evaluation values are presented. Furthermore, the expectations provided by DMs under different natural states of the epidemic are considered as the corresponding reference points (RP). Based on this, the matrix of gains and losses is constructed. Then, the prospect values of all criteria and the perceived probabilities of natural states are calculated according to the value function and the weighting function in CPT respectively. Finally, the proposed method is illustrated by an empirical case study, and the comparison analysis and the sensitivity analysis for the loss aversion parameter are conducted to prove the effectiveness and robustness. The results show that considering the psychological characteristics of DMs in selection decision is beneficial to avoid the unacceptable and potential loss risks. This study could provide a useful guideline for managers who intend to select appropriate video conferencing software.

中文翻译:

大流行下基于混合MCDM和累积前景理论的视频会议软件选择

视频会议软件被认为是一种重要的工具,可用于保持社交距离和开展业务。针对流行病演变的不确定性和多准则,本文提出了一种基于风险和累积前景理论(CPT)下的混合多准则决策(HMCDM)的视频会议软件选择方法,其中准则值表示为各种数学形式(例如,实数、区间数和语言术语)并且可以随着流行病的自然状态而改变。首先,详细描述了疫情下的视频会议软件选择问题。随后,进行视频会议软件选择的整个过程,介绍了处理和规范化多格式评估值的方法。此外,DMs在不同流行自然状态下提供的期望被视为相应的参考点(RP)。在此基础上,构建了损益矩阵。然后,根据CPT中的价值函数和权重函数分别计算所有准则的前景值和自然状态的感知概率。最后,通过一个实证案例来说明所提出的方法,并对损失厌恶参数进行比较分析和敏感性分析,以证明其有效性和鲁棒性。结果表明,在选择决策中考虑DMs的心理特征有利于避免不可接受的和潜在的损失风险。这项研究可以为打算选择合适的视频会议软件的管理人员提供有用的指导。
更新日期:2021-08-29
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