Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace

Subramanian, Thiruselvan; Nickolas, S.

doi:10.4018/ijfsa.2016040108

Cited by 12 publications

(3 citation statements)

References 48 publications

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“…Other MCDM methods can also be experimented with the fuzzy approach. A hybrid approach of three fuzzy techniques (Fuzzy ANP, Fuzzy TOPSIS, and Fuzzy ELECTRE) was proposed by Subramanian [95] to solve complex decisionmaking problems involving qualitative and quantitative criteria. Fuzzy set theory handles uncertainty in CSS in an efficient way.…”

Section: Various Mcdm Techniques Used For Cssmentioning

confidence: 99%

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

2022

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Section: Various Mcdm Techniques Used For Cssmentioning

confidence: 99%

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

2022

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“…In [29], The influences of attributes on the overall quality of services were integrated with the user's preferences in order to calculate the final weights of attributes using the ANP method to allow for a flexible network-like structure representation. In [30], the authors employed fuzzy-ANP to calculate criteria weights for cloud services evaluation. In [31], the authors examined the causal relationships between the criteria using fuzzy DEMATEL-based ANP technique to determine the influence and the weights of the criteria.…”

Section: B Dependency-aware Cloud Security Evaluation Methodsmentioning

confidence: 99%

Towards Security Effectiveness Evaluation for Cloud Services Selection following a Risk-Driven Approach

Maroc¹,

Zhang²

2020

IJACSA

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Cloud computing is gaining a lot of popularity with an increasing number of services available in the market. This has rendered services selection and evaluation a difficult and challenging task, particularly for security-based evaluation. A key problem with much of the literature on cloud services security evaluation is that it fails to consider the overall evaluation context given the cloud characteristics and the underlying influence factors including threats, vulnerabilities, and security controls. In this paper, we propose a holistic riskdriven security evaluation approach for cloud services selection. We first use fuzzy DEMATEL method to jointly assess the likelihood and impact of threats with respect to the cloud service types, the exploitability of vulnerabilities to the identified threats, and the effectiveness of security controls in mitigating those vulnerabilities. Consequently, the overall diffusion of risk is captured via the relations across these concepts, which is leveraged to filter and prioritize the most critical security controls. The selected controls were then weighted using a combination of fuzzy DEMATEL and fuzzy ANP methods based on several factors, including their effectiveness in preventing the identified risks, user's preferences and level of control (i.e., responsibilities). The latter denotes how much control a cloud user is transferring to the cloud provider. To enhance the reliability of the results, the subjective weights were integrated with objective weights using the Entropy method. Finally, the TOPSIS method was employed for services ranking and the Improvement Gap Analysis (IGA) method was leveraged to provide more insights on the strength and weaknesses of the selected services. An illustrative example is given to demonstrate the application of the proposed framework.

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“…Sidhu and Singh (2017) used improved TOPSIS methodology for developing a framework for evaluating the trustworthiness of CC service providers. Subramanian and Savarimuthu (2016) developed a model for the evaluation and selection of cloud services using fuzzy ANP, fuzzy TOPSIS and fuzzy ELECTRE. Finally, for proving the robustness of the model, sensitivity analysis was carried out.…”

Section: Applications Of Mcdm Methodologies In the Cloud Computing Areamentioning

confidence: 99%

To investigate the determinants of cloud computing adoption in the manufacturing micro, small and medium enterprises

Raut

Gardas²,

Narkhede

et al. 2019

BIJ

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Purpose The purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology. Design/methodology/approach Through literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors. Findings The results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector. Research limitations/implications The DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector. Originality/value For the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.

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Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace

Cited by 12 publications

References 48 publications

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

Towards Security Effectiveness Evaluation for Cloud Services Selection following a Risk-Driven Approach

To investigate the determinants of cloud computing adoption in the manufacturing micro, small and medium enterprises

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