Neutrosophic Multi-Criteria Decision Making Approach for IoT-Based Enterprises
Neutrosophic Multi-Criteria Decision Making Approach for IoT-Based Enterprises
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DOI：
10.1109/access.2019.2908919
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发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Aboelfetouh, Ahmed
中科院分区：
文献类型：
--
作者：
Nabeeh, Nada A.;Abdel-Basset, Mohamed;Aboelfetouh, Ahmed
物联网（IoT）连接了数十亿台设备，为物与人之间提供了创造性的机会。与物联网相关的产品的快速发展是一个新的挑战，以保持安全问题，缺乏信心，并了解物联网。层次分析法（AHP）是一种经典的多准则决策（MCDM）方法，用于分析和衡量复杂问题，并获得所选准则的权重。在真实的情况下，模糊和不一致的信息会导致决策者的困惑。由于真实的生活中不确定因素的存在，加之决策者的知识和经验有限，决策者不可能对所有情况都做出准确的判断。在本研究中，我们提出了一个企业物联网的层次分析法，以帮助决策者估计的影响因素。对影响因素的估计可以影响物联网相关企业的成功。本研究将层次分析法与中性分析技术相结合，有效地提出了与影响因素相关的标准。基于满足成功企业估计影响因素的决策技术，提出了推荐方案。一个案例研究应用在智能村，开罗，埃及，显示所提出的模型的适用性。智慧村庄的一致性率的测量后，应用神经网络的方法，以达到最接近的最佳结果。关于英国智慧城市的其他案例研究和中国已经提出证明，我们的建议可以在不同的环境中使用和复制。
The Internet of Things (IoT) connects billions of devices to afford inventive opportunities between things and people. The rapid development of products related to the IoT is a new challenge to keep security issues, lack of confidence, and understanding of the IoT. Analytical hierarchy process (AHP) is a classic multi-criteria decision making (MCDM) method used to analyze and scale complex problems and to obtain weights for the selected criteria. The vague and inconsistent information in real situations can lead to the decision maker's confusion. The decision makers cannot determine accurate judgments for all situations due to the conditions of uncertainty factors in real life; in addition to the limited knowledge and experience of decision makers. In this research, we present a neutrosophic AHP of the IoT in enterprises to help decision makers to estimate the influential factors. The estimation of influential factors can affect the success of the IoT-related enterprise. This study combines AHP methods with neutrosophic techniques to effectively present the criteria related to influential factors. The recommended alternatives are presented based on neutrosophic techniques satisfying the estimated influential factors for a successful enterprise. A case study is applied in Smart Village, Cairo, Egypt, to show the applicability of the proposed model. The smart village' consistency rate is measured after applying neutrosophic methodologies to reach to nearest optimum results. Additional case studies on the smart city in the U.K. and China have been presented to justify that our proposal can be used and replicated in different environments.