Interval-Valued Intuitionistic Fuzzy-Analytic Hierarchy Process for evaluating the impact of security attributes in Fog based Internet of Things paradigm

Verma, Richa; Chandra, Shalini

doi:10.1016/j.comcom.2021.04.019

Cited by 30 publications

(10 citation statements)

References 38 publications

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“…e final results show that the optimization model based on analytic hierarchy theory can accurately characterize the safety and reliability of traffic transportation. In view of the relevant problems existing in the construction of the Internet, as well as for the targeted evaluation and analysis of the Internet, an atomization method based on the theory of fuzzy analytic hierarchy process was proposed in [2]. e method firstly iteratively analyzes the evaluation data of the Internet, and then obtains the optimized corresponding parameters, and then imports the data into the fuzzy hierarchy analysis function.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Analytic Hierarchy Process in the Quality Monitoring and Evaluation of College Teachers and the Construction of Index System

Shi

2022

Security and Communication Networks

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In view of the relevant problems existing in the faculty of colleges and universities, in order to further analyze the deficiencies existing in the quality monitoring and index system of the faculty of colleges and universities. Based on the method and theory of fuzzy analytic hierarchy process, this study evaluates the quality monitoring results of university teachers, and researches the establishment of the index system of university teachers. The results show that k of different parameters increases slowly at first and then tends to be stable with the increase of iteration time. However, different parameters show different variation relations at higher iteration time. When k is 15, it can be used for targeted analysis of model index CR1. It can be seen from the weight analysis chart of quality monitoring of college teachers that the highest proportion is work pressure, while the lowest proportion is working environment. The research shows that the work pressure has the greatest influence on the quality monitoring analysis of college teachers. The construction diagram of the index system of college teachers shows that the fuzzy analytic hierarchy process can better reflect the quality system and index system of college teachers. Relevant research results can provide theoretical support for the application of fuzzy analytic hierarchy process in the research of college teachers.

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Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Analytic Hierarchy Process in the Quality Monitoring and Evaluation of College Teachers and the Construction of Index System

Shi

2022

Security and Communication Networks

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“…Step 1: In the first step, experts’ judgements for rating the one criterion over the other are obtained from each conducted experiment, which is then converted into a matrix form, as mentioned by Verma and Chandra (2021). This would provide a pairwise comparison matrix of the criterion in linguistic terms for each experiment.…”

Section: Methodsmentioning

confidence: 99%

“…A pairwise comparison matrix of CE challenges in linguistic terms from each experiment had been obtained (Verma and Chandra, 2021), which were further converted to IVIF sets using the conversion scale provided in Table 6. A pairwise comparison matrix of CE challenges obtained from experiment 1 in linguistic term had been shown in Table 7 and its conversion into IVIF sets had been presented in Table 8.…”

Section: Numerical Illustrationmentioning

confidence: 99%

Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain

Agarwal

Tyagi

Garg

2022

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Purpose The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC. Design methodology approach A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects. Findings The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies. Research limitations implications The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future. Originality value The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.

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“…To measure risk, two different types of risk estimation methods, risk assessment and fuzzy models, have been developed. To rank the elements at both levels in an edge-fogcloud context, a study [176] used AHP based on interval-valued intuitionistic fuzzy sets (IVIFS). The Fog-IoT security factors and their subfactors are prioritised and ranked using this integrated approach.…”

Section: Fuzzy Inference Systemmentioning

confidence: 99%

Fuzzy Theory in Fog Computing: Review, Taxonomy, and Open Issues

et al. 2022

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Geographically dispersed Fog Computing architecture ubiquitously connected to a range of heterogeneous nodes at the edge of the network can provide cooperative flexible, and variable computations, communications, and storage services. Several fog computing methods, models, and techniques have been used to solve cloud issues. The fuzzy theory has also been used in many aspects of fog computing. Objectives: This work presents a systematic literature review of the use of fuzzy theory in Fog Computing, highlighting the main practical motivations, classification types in research approaches, fuzzy methods used, popular evaluation tools, open issues, and future trends. Methods: The investigations were systematically performed using fuzzy theory in fog computing, and four databases which are ScienceDirect, Web of Science (WoS), Scopus, and IEEE Xplore Digital Library from 2015 to 2022, were used to analyse their performance evaluation, architecture, and applications. Results: 94 articles were selected based on fuzzy theory in fog computing using different methods, models, and techniques, based on the proposed exclusion and inclusion criteria. The results of the taxonomy were divided into five major classes: task and resource management, intrusion detection systems, trust management, and healthcare services. Discussion: Applications requiring real-time, low latency, and quick responses are well suited for fog computing. These studies show that resource sharing improves the fog computing architecture by delivering reduced latency, distributed processing, improved scalability, better security, fault tolerance, and privacy. Conclusion: The majority of the time, research areas on fuzzy theory in fog computing are crucially significant. We conclude that this review will enhance research capacity, thereby expanding and creating new research domains.

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Interval-Valued Intuitionistic Fuzzy-Analytic Hierarchy Process for evaluating the impact of security attributes in Fog based Internet of Things paradigm

Cited by 30 publications

References 38 publications

Application of Fuzzy Analytic Hierarchy Process in the Quality Monitoring and Evaluation of College Teachers and the Construction of Index System

Application of Fuzzy Analytic Hierarchy Process in the Quality Monitoring and Evaluation of College Teachers and the Construction of Index System

Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain

Fuzzy Theory in Fog Computing: Review, Taxonomy, and Open Issues

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