三角模糊中性集下多属性决策的交叉熵方法

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2023-08-31 DOI:10.3233/kes-230071
Suhua Wang, Pengfei Yan, Lei Wang, Shaojuan Ouyang
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引用次数: 0

摘要

云计算是在高度竞争的社会中,作为企业信息技术的高级阶段而出现的,目前正处于快速发展的阶段。使用云计算的企业可以降低构建基础设施的成本,并获得巨大的收益。由于云计算的便利性,越来越多的企业倾向于使用云服务来构建自己的业务系统。然而,市场上有许多不同的云服务提供商,企业需要科学的决策工具来确定选择哪个云服务提供商。云服务提供商的选择被视为多属性决策(MADM)。本文在传统交叉熵方法的基础上,建立了三角模糊中性集下的交叉熵方法。首先,介绍了tfns。然后,将传统的模糊交叉熵法与TFNSs信息相结合,建立了TFNSs下MADM的三角模糊嗜中性数交叉熵(TFNN-CE)方法。最后,给出了一个云服务提供商选择的数值例子,并通过比较说明了交叉熵方法与tfns方法的优越性。
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Cross-entropy method for multiple attribute decision making under the triangular fuzzy neutrosophic sets
Cloud computing is emerging as an advanced stage of enterprise information technology in a highly competitive society, and is now in a phase of rapid development. Enterprises using cloud computing can reduce the cost of building infrastructure and reap huge benefits. Due to the convenience of cloud computing, more and more enterprises are inclined to use cloud services to build their business systems. However, there are many different cloud service providers in the market, and enterprises need scientific decision-making tools to determine which cloud service provider to choose. The cloud service provider selection is viewed as the multi-attribute decision-making (MADM). In this paper, the cross-entropy method under triangular fuzzy neutrosophic sets (TFNSs) is built based on the traditional cross-entropy method. Firstly, the TFNSs is introduced. Then, combine the traditional fuzzy cross-entropy method with TFNSs information, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) method is established for MADM under TFNSs. Finally, a numerical example for cloud service provider selection has been given and some comparisons is used to illustrate advantages of cross-entropy method with TFNSs.
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CiteScore
2.10
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0.00%
发文量
22
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