直觉模糊环境下考虑用户动态偏好的云服务选择方法研究

doi:10.3969/j.issn.1007-7375.2022.04.009

摘要/Abstract

摘要： 云制造平台上集中了大量云服务，如何为没有专业知识的用户选择合适的云服务是一个重要的挑战。云服务选择过程中，当用户处在产品生命周期的不同阶段时，用户偏好随时间动态发生变化，进而对云服务QoS属性的偏好程度发生变化，这将直接影响云服务选择结果。因此，本文提出一种考虑用户动态偏好的云服务选择方法。首先，云服务QoS属性存在多种数据格式，故使用直觉模糊数处理异构的QoS数据。其次，在直觉模糊环境下采用熵权法确定用户初始偏好，进而使用马尔可夫链确定用户的动态偏好。最后，在直觉模糊环境下采用VIKOR方法评估备选云服务。实验结果表明，本文方法可以有效地帮助处在产品不同生命周期的用户选择满意的服务，且在不同的场景下，本文提出的方法是可靠的。

关键词: 云服务, 直觉模糊集, 动态偏好, 马尔科夫链, VIKOR方法

Abstract: There are a large number of cloud services on the cloud manufacturing platform. How to select satisfactory cloud services from a large number of cloud services for users without professional knowledge has become an important challenge. In the process of cloud service selection, when users are at different stages of the product life cycle, their preference for the attributes of cloud services is different. In other words, the preferences of users change dynamically over time, which will directly affect the results of cloud service selection. A cloud service selection method is proposed that considers the dynamic preferences of users. First, the intuitionistic fuzzy numbers is used to process heterogeneous QoS attribute data. Secondly, under the intuitionistic fuzzy environment, the entropy method is used to obtain the QoS attribute weight as the user's initial preference, and then the user's dynamic preference is determined by using the Markov chain. Finally, the VIKOR method is used to evaluate cloud services under an intuitionistic fuzzy environment, and a ranking is given. Experimental results show that this method can effectively help decision makers in different life cycles of products to choose satisfactory services, and the method proposed is reliable in different scenarios.

Key words: cloud service, intuitionistic fuzzy set, dynamic preference, Markov chain, VIKOR (vlsekriterijumska optimizacija I kompromisno resenje)

中图分类号:

C931

成煜鑫, 禹春霞, 刘明明. 直觉模糊环境下考虑用户动态偏好的云服务选择方法研究[J]. 工业工程, 2022, 25(4): 70-79.

CHENG Yuxin, YU Chunxia, LIU Mingming. A Cloud Service Selection Method Considering User Dynamic Preference under an Intuitionistic Fuzzy Environment[J]. Industrial Engineering Journal, 2022, 25(4): 70-79.

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