Failure mode and effect analysis: An interval-valued intuitionistic fuzzy cloud theory-based method

Huang, Guangquan; Xiao, Liming

doi:10.1016/j.asoc.2020.106834

Cited by 50 publications

(16 citation statements)

References 53 publications

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“…The Atangana-Baleanu-Caputo derivative [10], a fractional nonsingular derivative proposed by Atangana, Baleanu, and Caputo, has recently gained prominence among scholars [11,12]. Using fuzzy derivatives to analyze fractional differential equations under the Atangana-Baleanu-Caputo derivative can yield a lot of exciting outcomes and open up new avenues for younger scholars [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Study of Fuzzy Fractional Nonlinear Equal Width Equation in the Sense of Novel Operator

Naeem

Khammash

Mahariq

et al. 2021

Journal of Function Spaces

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In this paper, we designed an algorithm by applying the Laplace transform to calculate some approximate solutions for fuzzy fractional-order nonlinear equal width equations in the sense of Atangana-Baleanu-Caputo derivatives. By analyzing the fuzzy theory, the suggested technique helps the solution of the fuzzy nonlinear equal width equations be investigated as a series of expressions in which the components can be effectively recognised and produce a pair of numerical results with the uncertainty parameters. Several numerical examples are analyzed to validate convergence outcomes for the given problem to show the proposed method’s utility and capability. The simulation outcomes reveal that the fuzzy iterative transform method is an effective method for accurately and precisely studying the behavior of suggested problems. We test the developed algorithm by three different problems. The analytical analysis provided that the results of the models converge to their actual solutions at the integer-order. Furthermore, we find that the fractional derivative produces a wide range of fuzzy results.

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Section: Introductionmentioning

confidence: 99%

Study of Fuzzy Fractional Nonlinear Equal Width Equation in the Sense of Novel Operator

Naeem

Khammash

Mahariq

et al. 2021

Journal of Function Spaces

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“…Due to the fuzziness of FMEA team assessments, it cannot express the randomness of team assessment. Therefore, the cloud model can solve the fuzziness, hesitation, and randomness of expert assessments [39].…”

Section: Rankings Of Indicators Of Visual Comfortmentioning

confidence: 99%

“…To solve the limitations of expert's bounded rationality, the weight of each expert comes from three different dimensions: professional relevance, experience, and title. The expert weight evaluation table is constructed in Table 3 [39,41]. Based on the professional relevance, experience, and title of each expert, the weight is determined by Equation (10).…”

Section: Determine the Weights Of Expertsmentioning

confidence: 99%

Research on a Visual Comfort Model Based on Individual Preference in China through Machine Learning Algorithm

Pan

2021

Sustainability

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Recently, decreasing energy consumption under the premise of building comfort has become a popular topic, especially visual comfort. Existing research on visual comfort lacks a standard of how to select indicators. Moreover, studies on individual visual preference considering the interaction between internal and external environment are few. In this paper, we ranked common visual indicators by the cloud model combined with the failure mode and effect analysis (FMEA) and hierarchical technique for order of preference by similarity to ideal solution (TOPSIS). Unsatisfied vertical illuminance, daylight glare index, luminance ratio, and shadow position are the top four indicators. Based on these indicators, we also built the individual visual comfort model through five categories of personalized data obtained from the experiment, which was trained by four machine learning algorithms. The results show that random forest has the best prediction performance and support vector machine is second. Gaussian mixed model and classification tree have the worst performance of stability and accuracy. In addition, this study also programmed a BIM plug-in integrating environmental data and personal preference data to predict appropriate vertical illuminance for a specific occupant. Thus, managers can adjust the intensity of artificial light in the office by increasing or decreasing the height of table lamps, saving energy and improving occupant comfort. This novel model will serve as a paradigm for selecting visual indicators and make indoor space be tailored to meet individual visual preferences.

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“…In this study, the expert evaluation method was used to analyze the data and establish a membership model. e method is equivalent to data collection to a certain extent to avoid subjectivity [19].…”

Section: Establishing a Fuzzy Relationship Modelmentioning

confidence: 99%

Complexity of the Analysis of Financial Cloud Based on Fuzzy Theory in the Wisdom of Sustainable Urban Development

2021

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With the rapid growth of our country’s economy, fuzzy theory has become more and more widely used in the financial field. This research mainly explores the application of financial cloud based on fuzzy theory in the sustainable development of smart cities. This research will apply the related knowledge of fuzzy theory, combine the traditional information system risk assessment thought and cloud computing system risk assessment, and propose a series of risk assessment models for the cloud computing system. First, design a smart city model to analyze the potential security issues of the financial cloud computing system. The security level model of cloud computing establishes an index system for evaluation objects based on the level of the security model and uses expert evaluation methods to build models for all levels of the risk profile through the analysis-level process and establish a fuzzy relationship model for each evaluation object value. We objectively evaluate the smart city model based on the designed financial cloud platform. Then, specific statistical analysis is performed on the fuzzy relationship model corresponding to the weight value of the evaluation object, the calculation result is finally obtained, and the risk assessment report of the financial cloud computing system is provided. For every 2% increase in trade dependence, the informatization level of smart cities will drop by about 0.03% on average. The findings have long strengthened the overall coordinated development of the financial system, optimized the financial structure, improved development efficiency, promoted close integration of science and technology and finance, and played the role of government leader it was to fulfill. It shows that we need to maximize it and improve the informatization when building smart cities. The level of development is very important for accelerating urban construction.

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Failure mode and effect analysis: An interval-valued intuitionistic fuzzy cloud theory-based method

Cited by 50 publications

References 53 publications

Study of Fuzzy Fractional Nonlinear Equal Width Equation in the Sense of Novel Operator

Study of Fuzzy Fractional Nonlinear Equal Width Equation in the Sense of Novel Operator

Research on a Visual Comfort Model Based on Individual Preference in China through Machine Learning Algorithm

Complexity of the Analysis of Financial Cloud Based on Fuzzy Theory in the Wisdom of Sustainable Urban Development

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