Assessment of cloud vendors using interval‐valued probabilistic linguistic information and unknown weights

Sivagami, R.; Krishankumar, Raghunathan; Sangeetha, V.; Ravichandran, K. S.; Kar, Samarjit; Gandomi, Amir H.

doi:10.1002/int.22439

Cited by 21 publications

(7 citation statements)

References 57 publications

(83 reference statements)

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“…Optimization models (Krishankumar et al, 2021 ; Sivagami et al, 2021 ) are put forward in the former category and the system incurs overhead for obtaining partial information on each criterion. When experts are unable/unwilling to express their views on the importance of criterion, the methods from the latter category are put forward, such as entropy (Zheng et al, 2020 ; Mahmood and Ali, 2020), analytical hierarchy process (Anbuudayasankar et al, 2020 ), best–worst approach (Rezai, 2015; Pamucar et al, 2020 ), and so on.…”

Section: Methodsmentioning

confidence: 99%

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

et al. 2022

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Pandemics are well-known as epidemics that spread globally and cause many illnesses and mortality. Because of globalization, the accelerated occurrence and circulation of new microbes, the infection has emerged and the incidence and movement of new microbes have sped up. Using technological devices to minimize the visit durations, specifying days for handling chronic diseases, subsidy for the staff are the alternatives that can help prevent healthcare systems from collapsing during pandemics. The study aims to define the efficient usage of optimization tools during pandemics to prevent healthcare systems from collapsing. In this study, a new integrated framework with fuzzy information is developed, which attempts to prioritize these alternatives for policymakers. First, rating data are assigned respective fuzzy values using the standard singleton grades. Later, criteria weights are determined by extending Cronbach´s measure to fuzzy context. The measure not only understands data consistency comprehensively, but also takes into consideration the attitudinal characteristics of experts. By this approach, a rational weight vector is obtained for decision-making. Further, an improved Weighted Aggregated Sum Product Assessment (WASPAS) algorithm is put forward for ranking alternatives, which is flexibly considering criteria along with personalized ordering and holistic ordering alternatives. The usefulness of the developed framework is tested with the help of a real case study. Rank values of alternatives when unbiased weights are used is given by 0.741, 0.582, 0.640 with ordering as $$R_{1} \succ R_{3} \succ R_{2}$$ R 1 ≻ R 3 ≻ R 2 . The sensitivity/comparative analysis reveals the impact of the proposed model as useful in selecting the best alternative for the healthcare systems during pandemics.

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Section: Methodsmentioning

confidence: 99%

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

et al. 2022

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“…PLTS is also an extension form of HFLTS, which is composed of linguistic terms with assigned probabilities [ 24 ]. The IVPLTS changed the crisp probabilities into interval probabilities, which was used by Bai et al [ 12 ] and Sivagami et al [ 156 ] in multi-criteria group decision-making (MCGDM) problems.…”

Section: Interval Techniques In Mcdmmentioning

confidence: 99%

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

Liao

Wang

Tang

et al. 2023

Int. J. Fuzzy Syst.

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Due to the diversity of information, many decision-making problems cannot be solved based on a single criterion. The complexity of assessment objects and the limitations of individual cognition cause the opinions given by experts uncertain, which further aggravates decision-making difficulties. Although fuzzy sets and intuitionistic fuzzy sets are proposed to express vague information, they still have the problem of losing information. As a tool to express uncertain information, interval techniques can effectively prevent the loss of information and improve the accuracy of decision-making. In this regard, many scholars applied interval analysis techniques and their fuzzy extensions to solve multi-criteria decision-making (MCDM) problems. This study reviews 195-related articles published from 2007 to 2022, and analyzes the research progress of interval analysis techniques and their fuzzy extensions in MCDM problems. Through bibliometrics analyses, publication and citation trends as well as productive countries can be intuitively and quantitatively obtained. Then, we review theories and methods regarding the combination of interval techniques and MCDM methods, and find that interval-valued fuzzy sets are extensively discussed and combined with TOPSIS. Next, real-world applications of these publications are reviewed, and we obtain that interval techniques are mainly used in supply chain selection. Finally, we propose future directions regarding interval techniques in MCDM problems. It is hoped that this study would be helpful for scholars and practitioners to carry out further research.

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“…Broadly, weights are determined with partially known information or completely unknown information. Programming models [47] are used for the former context, and the latter context uses approaches like the analytical hierarchy process [48], entropies [49] and the like. The present study assumes that the information about the factors is unknown, so it closely resembles the latter context.…”

Section: Weight Calculation Proceduresmentioning

confidence: 99%

An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations

et al. 2022

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Sustainability is becoming the core theme of every organization to protect the planet from the drastic effects of climate change. Many organizations have drastically changed their practices to encourage green habits for sustainable operations. Practitioners have discussed the difficulties in the literature owing to the adoption of sustainable aspects of environmental, economic and social paradigms in the organization. One can identify diverse barriers, and ranking them would help policy-makers plan their actions. Motivated by this claim, a new integrated approach with nonlinear fuzzy data is put forward in this paper. The nonlinear mapping of fuzzy data provides a better representation of uncertainty, which inspired the authors to use nonlinear data. Further, the attitudinal variance method is proposed for a weight assessment of the criteria that can handle hesitation effectively and consider each agent’s reliability. The Boran principle in the nonlinear context is used to calculate the reliability values. Complex proportional assessment (COPRAS), a popular ranking algorithm, is extended to nonlinear data for rationally ranking barriers that affect sustainable operations. An illustrative example exemplifies the usability of the approach, and a comparison/sensitivity analysis reveals the pros and cons of the framework.

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Assessment of cloud vendors using interval‐valued probabilistic linguistic information and unknown weights

Cited by 21 publications

References 57 publications

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations

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