Neutrosophic Multi-Criteria Decision Making Approach for IoT-Based Enterprises

Abstract

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.INDEX TERMS Multi-criteria decision making (MCDM), analytical hierarchal Process (AHP), neutrosophic sets, Internet of Things (IoT).

An intelligent framework using disruptive technologies for COVID-19 analysis

“…These key technologies include artificial intelligence (AI), industry 4.0, Internet of Things (IoT), Internet of Medical Things (IoMT), big data, virtual reality (VR), Drone technology and Autonomous Robots, 5 G, and blockchain to achieve specific goals. In order to answer the questions on what are disruptive technologies and how they can be used, Table 1 presents the effective disruptive technologies that can be applied to limit the COVID-19 outbreaks based on literature ( Lasi et al., 2014 ; Koro, 2015; Alladia et al., 2019 a; 2019 b; S Chen et al., 2020 ; Chamola et al., 2020 ; Javaid et al., 2019; 2020; Nabeeh et al., 2019a ; R.P.. Singh et al., 2020 ) and our analysis. Additionally, the following disruptive technologies can be used jointly to meet the criteria for having an intelligent framework used in COVID-19 analysis.…”

“…Internet of Things (IoT) The connection between objects over a specific network without human intervene. People could access the needed content remotely from anywhere to attain the proper medical service ( Nabeeh et al., 2019a ). The IoT, an essential part of the revolution of Industry 4.0, is the connection between services and semantics via wireless protocols (Koro, 2015) .…”

New approach on differential equation via trapezoidal neutrosophic number

“…Internet of things is one of the developing areas in recent times. In [21], neutrosophic AHP (Analytical hierarchy process) of the IoT in enterprises has been effectively presented in decision-making criteria. Neutrosophic logic in IoT may be employed to handle inconsistent data.…”

“…IoT is one of the challenging and emerging fields of research in science and engineering. Nabeeh et al [21] presented a neutrosophic analytical hierarchy process (AHP) of the IoT in enterprises to help decision-makers to estimate the influential factors.…”

Design of the Bartlett and Hartley tests for homogeneity of variances under indeterminacy environment

“…Smarandache [15] mentioned that neutrosophic logic which considers the measure of indeterminacy is the generalization of traditional fuzzy logic. More details on the neutrosophic can be seen in [16][17][18][19][20][21]. Based on the neutrosophic logic, Smarandache [22] gave the idea of neutrosophic statistics.…”