Analysis of the barriers affecting the quality of electronic services of libraries by VIKOR, FMEA and entropy combined approach in an intuitionistic-fuzzy environment

Mirghafoori, Seyyed Habibollah; Izadi, Mohammad Reza; Daei, Ali

doi:10.3233/jifs-171695

Cited by 38 publications

(25 citation statements)

References 61 publications

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“…For instance, the combination of fuzzy set theory and GRA is typical [52][53][54]. In addition, fuzzy MULTIMOORA [32], fuzzy DEMATEL [55], and an intuitionistic fuzzy approach [30] 2 Complexity are proposed to evaluate FMEA. In another interesting study [56], S and D are obtained from fuzzy rules, and O is obtained from an artificial neural network.…”

Section: Integrated Fuzzy Methodsmentioning

confidence: 99%

“…Fuzzy theory has recently attracted increasing attention in weight determination research. For instance, the intuitionistic fuzzy weighted averaging (IFWA) operator [21], the fuzzy AHP method in [29], the triangular intuitionistic fuzzy entropy method [30], the three-dimensional geometric approach to fuzzy weighted Euclidean (FWE) FMEA, the IVIF MUL-TIMOORA method [31], and even the integrated method by extended fuzzy AHP and fuzzy MULTIMOORA [32] are all these types of typical studies. Cost [4,6,7,24], customer demand [33,34], and quality [7] are integrated into FMEA to solve the third shortcoming in many studies.…”

Section: Traditional Fmea and Its Improvements At Presentmentioning

confidence: 99%

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The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

2021

Complexity

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The risk priority number (RPN) calculation method is one of the critical subjects of failure mode and effects analysis (FMEA) research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic. Accordingly, increasing studies have ignored the important impact of the random sampling uncertainty in the FMEA assessment. In this study, a fuzzy beta-binomial RPN evaluation method is proposed by integrating fuzzy theory, Bayesian statistical inference, and the beta-binomial distribution. This model can effectively realize real-time, dynamic, and long-term evaluation of RPN under the condition of continuous knowledge accumulation. The major contribution of the proposed model is to use the random uncertainty and fuzzy uncertainty in an integrated model and provide a Markov Chain Monte Carlo (MCMC) method to solve the complex integrated model. The study presented a case study, which presented how to apply this model in practice and indicated the significant influence on the measurement error caused by ignoring the random uncertainty caused by expert evaluation in RPN calculations.

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Section: Integrated Fuzzy Methodsmentioning

confidence: 99%

Section: Traditional Fmea and Its Improvements At Presentmentioning

confidence: 99%

The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

2021

Complexity

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“…Analogous to VIKOR method (Mirghafoori et al. 2018 ) and TOPSIS method (Liang et al. 2018 ), some traditional distances are also derived for EDAS method.…”

Section: Introductionmentioning

confidence: 99%

“…The EDAS method is very fruitful specially when the incompatible criteria happen in multi-attribute decision-making approach. Analogous to VIKOR method (Mirghafoori et al 2018) and TOPSIS method (Liang et al 2018), some traditional distances are also derived for EDAS method. Nevertheless, EDAS method should be considered as PDAS and NDAS on the base of average solution (AS).…”

Section: Introductionmentioning

confidence: 99%

EDAS method for decision support modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information

Batool

Abosuliman

Abdullah

et al. 2021

J Ambient Intell Human Comput

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The significance of emergency decision-making (EmDM) has been experienced recently due to the continuous occurrence of various emergency situations that have caused significant social and monetary misfortunes. EmDM assumes a manageable role when it is important to moderate property and live misfortunes and to reduce the negative effects on the social and natural turn of events. Genuine world EmDM issues are usually described as complex, time-consuming, lack of data, and the effect of mental practices that make it a challenging task for decision-makers. This article shows the need to manage the various types of vulnerabilities and to monitor practices to resolve these concerns. In clinical analysis, how to select an ideal drug from certain drugs with efficacy values for coronavirus disease has become a common problem these days. To address this issue, we are establishing a multi-attribute decision-making approach (MADMap) based on the EDAS method under Pythagorean probabilistic hesitant fuzzy information. In addition, an algorithm is developed to address the uncertainty in the selection of drugs in EmDM issues with regards to clinical analysis. The actual contextual analysis of the selection of the appropriate drug to treat coronavirus ailment is utilized to show the practicality of our proposed technique. Finally, with the help of a comparative analysis of the TOPSIS technique, we demonstrate the efficiency and applicability of the established methodology.

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“…The EDAS method is very effective especially when the conflicting criteria exist in the MADM problem. Similar to VIKOR method (Mirghafoori, Izadi, & Daei, 2018) and TOPSIS method (Liang, Xu, Liu, & Wu, 2018), some classical distances are also derived for EDAS method. However, EDAS method should be calculated as PDAS (Positive Distance from Average Solution) and NDAS (Negative Distance from Average Solution) on the basis of AS(average solution).…”

Section: Introductionmentioning

confidence: 99%

Edas Method for Multiple Attribute Group Decision Making Under Q-Rung Orthopair Fuzzy Environment

Wei

Wang

et al. 2019

Technological and Economic Development of Economy

105

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Extended q-rung orthopair fuzzy sets (q-ROFSs) is an excellent tool to depict the qualitative assessing information in multiple attribute group decision making (MAGDM) environments. The EDAS method is very effective especially when the conflicting attributes exist in the MAGDM issues in which the optimal alternative should have the biggest value of PDAS and the smallest value of NDAS. In this paper, we put forward the EDAS method for MAGDM issues under q-ROFSs, which makes use of average solution (AS) for assessing the chosen alternatives. The positive distance from AS (PDAS) and negative distance from AS (NDAS) is derived through the score of q-ROFSs. Then, the sorting order or the optimal alternative can be acquired by computing integrative appraisal score. Finally, a numerical example for buying a refrigerator is given to testify our developed EDAS method and some comparative analysis are also raised to further show the precious merits of this method.

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Analysis of the barriers affecting the quality of electronic services of libraries by VIKOR, FMEA and entropy combined approach in an intuitionistic-fuzzy environment

Cited by 38 publications

References 61 publications

The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

EDAS method for decision support modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information

Edas Method for Multiple Attribute Group Decision Making Under Q-Rung Orthopair Fuzzy Environment

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