A multi-level fuzzy comprehensive assessment for supply chain risks

Wang, Leyan

doi:10.3233/jifs-189981

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…For any a, within some set [𝑎 1 , 𝑎 2 ], there exists 𝜆 𝐴 (𝑎) corresponding to it, and 𝜆 𝐴 (𝑎) is called the affiliation function describing a to A. The value of the function is called the degree of affiliation of a to A [31].…”

Section: Affiliation and Affiliation Function Of Fuzzy Integrated Eva...mentioning

confidence: 99%

Application of random forest algorithm in the detection of foreign objects in wine

Wang,

Yang,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In order to explore the applicability of random forest algorithm in the detection of alcoholic foreign matter and to improve the identification of alcoholic products. In this paper, based on the random forest algorithm, the feature values of random forest are fuzzified using the fuzzy comprehensive evaluation method, and the application model of alcohol foreign body detection anomaly based on random forest fuzzy tree nodes is established. And the reliability of the random forest algorithm is verified by the quantitative analysis of the three test indexes (i.e., recall, precision, and accuracy) and the anomaly proportion coefficient of the test data set by the algorithm in this paper. The results show that the recall, precision, and accuracy of the random forest-based anomaly detection for alcoholic beverage foreign objects are 99.65%, 95.49%, and 97.19%, respectively, and the average value of the three eigenvalues of this paper’s algorithm is 97.44%, which is 59.89%, 43.98%, and 1.92% higher than the other three algorithms, respectively. In terms of the anomaly proportion coefficient, the stability of the algorithm in this paper is the best when the coefficient takes values between [0.2, 0.6]. It can be shown that the algorithm based on random forest can be applied to the foreign matter detection of wine, and through the detection of anomalies, the quality of the wine currently undergoing detection can be clearly and explicitly analyzed, which also provides a new direction for the application of the random forest algorithm.

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Section: Affiliation and Affiliation Function Of Fuzzy Integrated Eva...mentioning

confidence: 99%

Application of random forest algorithm in the detection of foreign objects in wine

Wang,

Yang,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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show abstract

“…Through the assessment of the main body of the indicator system assessment information, using fuzzy mathematical methods to synthesize the assessment information step by step until obtaining the results of the subordination assessment, based on the principle of subordination, to determine the assessment level. The fuzzy comprehensive assessment method comprehensively summarizes the opinions of the assessment subject and reflects the degree of strengths and weaknesses of the subject being assessed [18][19]. The assessment standard system is established using the fuzzy comprehensive assessment method in this paper.…”

Section: Fuzzy Integrated Assessment Of Psychological Factorsmentioning

confidence: 99%

The influence of growth environment on college students’ mental health based on subjective and objective induction perspectives

Huang

2023

Applied Mathematics and Nonlinear Sciences

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The mental health of college students is closely linked to their upbringing environment. This study utilized a scale method to quantitatively assess family economic status, parenting styles, and closeness using subjective and objective induction perspectives. The survey data was obtained by combining Liket multipoint scoring, and the Cronbach’s alpha coefficient was utilized for testing. For the mental health assessment of college students, quantification and summation was conducted through fuzzy qualitative assessment, and the assessment criteria were established using the fuzzy comprehensive assessment method. The predictions were fitted using multiple linear regression after completing the descriptive statistical analysis and mediating role test. The family socioeconomic status factor was used to predict the mental health index of college students, which could reduce the error by 3.8%. The parenting style factor was used to predict the mental health index of college students, which could reduce 7.2% of the error. Using the factor of family closeness to predict the mental health index of college students can reduce the error by 4.2%. By exploring the influence of upbringing on mental health, psychological intervention methods can be better proposed.

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A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis

Yang,

Zhao,

Luan

et al. 2024

Expert Systems with Applications

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A multi-level fuzzy comprehensive assessment for supply chain risks

Cited by 4 publications

References 8 publications

Application of random forest algorithm in the detection of foreign objects in wine

Application of random forest algorithm in the detection of foreign objects in wine

The influence of growth environment on college students’ mental health based on subjective and objective induction perspectives

A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis

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