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<p>With the development of technology, cloud-based operations have emerged as a convenient solution. The success of firms largely depends on the service quality (SQ) of the cloud. In this regard, the current work endeavors to compare cloud computing platforms (CCP) from the perspectives of SQ and brand competitive positioning (CP). To this end, the present work proposes an innovative multi-criteria decision-making (MCDM) framework that extends the modified preference selection index (MPSI) method with two-stage logarithmic normalization and a unique hybridization of Alternative Ranking using two-step Logarithmic Normalization (ARLON) with the Root Assessment Method (RAM). A group of 494 respondents took part in the survey. The present work also extends the growing strand of literature by providing a p, q Quasirung Orthopair Fuzzy Number (p, q QOFN) based application of the proposed framework for better decision-making under uncertainty. The reliability of the framework is tested by comparative analysis, and stability is examined through sensitivity analysis. It is seen that reliability (S4), recoverability (S2), maturity (S1), fault tolerance/availability (S3), and suitability (S5) are of utmost importance for ensuring service quality. We observe that community connect (C7), quality (C3), and features (C1) rank highest among the competitive priorities. The findings show that users find Microsoft Azure (A2) and Google (A3) CCPs provide superior service compared to others. Looking at the competitive positioning, it is evident that Google (A3) and IBM Cloud (A4) perform better than the others.</p>

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Data-driven comparing of cloud computing platforms: application of a novel p, q-quasirung orthopair fuzzy framework

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Goutam Dutta,
  • Sanjib Biswas,
  • Dragan Pamucar,
  • Doel Mukherjee

摘要

With the development of technology, cloud-based operations have emerged as a convenient solution. The success of firms largely depends on the service quality (SQ) of the cloud. In this regard, the current work endeavors to compare cloud computing platforms (CCP) from the perspectives of SQ and brand competitive positioning (CP). To this end, the present work proposes an innovative multi-criteria decision-making (MCDM) framework that extends the modified preference selection index (MPSI) method with two-stage logarithmic normalization and a unique hybridization of Alternative Ranking using two-step Logarithmic Normalization (ARLON) with the Root Assessment Method (RAM). A group of 494 respondents took part in the survey. The present work also extends the growing strand of literature by providing a p, q Quasirung Orthopair Fuzzy Number (p, q QOFN) based application of the proposed framework for better decision-making under uncertainty. The reliability of the framework is tested by comparative analysis, and stability is examined through sensitivity analysis. It is seen that reliability (S4), recoverability (S2), maturity (S1), fault tolerance/availability (S3), and suitability (S5) are of utmost importance for ensuring service quality. We observe that community connect (C7), quality (C3), and features (C1) rank highest among the competitive priorities. The findings show that users find Microsoft Azure (A2) and Google (A3) CCPs provide superior service compared to others. Looking at the competitive positioning, it is evident that Google (A3) and IBM Cloud (A4) perform better than the others.