Flavor quality evaluation system of Xinjiang milk knots by using SOM neural network and the fuzzy AHP

Wei, Zhisheng; Ma, Xiangyang; Zhan, Ping; Tian, Honglei; Li, Kaixuan

doi:10.1002/fsn3.1501

Cited by 6 publications

(7 citation statements)

References 24 publications

(28 reference statements)

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“…Tanima and Madhusweta 36 developed a mathematical model based on FCE and criticality analysis, called failure mode effects and criticality analysis (FMECA), for evaluating quality risk levels in the food supply chain. Wei et al 37 used the fuzzy analytic hierarchy process based on an optimal consistency matrix to evaluate the risk of milk knot samples qualitatively and quantitatively.…”

Section: Data Analysis Methods In Food Safetymentioning

confidence: 99%

Review of visual analytics methods for food safety risks

Chen,

Wu,

Zhang

et al. 2023

npj Sci Food

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With the availability of big data for food safety, more and more advanced data analysis methods are being applied to risk analysis and prewarning (RAPW). Visual analytics, which has emerged in recent years, integrates human and machine intelligence into the data analysis process in a visually interactive manner, helping researchers gain insights into large-scale data and providing new solutions for RAPW. This review presents the developments in visual analytics for food safety RAPW in the past decade. Firstly, the data sources, data characteristics, and analysis tasks in the food safety field are summarized. Then, data analysis methods for four types of analysis tasks: association analysis, risk assessment, risk prediction, and fraud identification, are reviewed. After that, the visualization and interaction techniques are reviewed for four types of characteristic data: multidimensional, hierarchical, associative, and spatial-temporal data. Finally, opportunities and challenges in this area are proposed, such as the visual analysis of multimodal food safety data, the application of artificial intelligence techniques in the visual analysis pipeline, etc.

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Section: Data Analysis Methods In Food Safetymentioning

confidence: 99%

Review of visual analytics methods for food safety risks

Chen,

Wu,

Zhang

et al. 2023

npj Sci Food

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“…However, in some cases, the AHP is still used in its original form [ 28 , 29 ]. The AHP is widely used in the construction of evaluation systems [ 30 – 32 ]. By comparing the opinions of experts, the quantitative relationship between the elements of the same level and the elements of the upper level is determined to assign the relative important weight of the lowest level (schemes and measures for decision-making) relative to the highest level (overall goal).…”

Section: Introductionmentioning

confidence: 99%

Establishment of a no-notice drill mode evaluation system for public health emergencies

Huang

Lin

et al. 2022

PLoS ONE

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Objective At present, there are some no-notice drill mode evaluation systems for public health emergencies in Chinese hospitals, which are the subjects of assessment in this study. However, there is a lack of CDC. This study builds a set of no-notice drill mode evaluation systems for public health emergencies that involve the CDC. Methods The indexes for these systems were based on the performance of two no-notice drills for public health emergencies in Guangdong Province. Twenty experts were invited to screen the indicators during two rounds of the Delphi method to determine the weight of first- and second-level indexes through the analytic hierarchy process, and the weight of the third-level index was calculated using the percentage method. Results After two rounds of expert consultation, we obtained four first-level indicators, twenty-six second-level indicators and eighty-six third-level indicators. According to the weight calculated by analytic hierarchy process, the weights of the first-level indicators are emergency preparation (0.2775), verification and consultation regarding an epidemic situation (0.165), field investigation and control (0.3925) and summary report (0.165). Sensitivity analysis shows that the stability of the index is good. Conclusion The no-notice drill mode evaluation system for public health emergencies constructed in this study can be applied to public health departments such as the CDC. Through promotion, it can provide a scientific basis for epidemiological investigation assessment.

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“…In the design and fabrication of marine-based composites, the use of the traditional analytic hierarchy process lacks the aptitude to tackle imprecision subjectivity in the judgments by designers and fabricators concerning the parameters of the composite Chan and Kumar, 2007;Ebrahimi and Bridgelall, 2020;Park et al, 2020;Wei et al, 2020;Song et al, 2021). Consider the initial weight of the reinforcement as an object of interest.…”

Section: Introductionmentioning

confidence: 99%

“…Arising from this argument, the novelty of this article is to suggest a new method to water absorption process parametric evaluation to establish the uncertainty in the evaluation of the key parameters of water absorption for a collected data from the laboratory experiment on cocoa pod husk composites. To attain this, the fuzzy analytic hierarchy process is deployed where the 100 Abiola and Oke parametric characteristics are described in linguistic terms by membership functions in a fuzzification exercise (Ebrahimi and Bridgelall, 2020;Park et al, 2020;Wei et al, 2020;Song et al, 2021). Subsequently, the pairwise comparison, fuzzy weight determination, defuzzification and normalisation are done (Park et al, 2020;Song et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…But fuzzy analytical hierarchy process using geometric mean approach has not been deployed to solve this water absorption parametric determination problem. Interestingly, fuzzy analytic hierarchy process has merits regarding its huge similarity with the traditional analytic hierarchy process method (Ighravwe and Oke, 2017;Ebrahimi and Bridgelall, 2020;Park et al, 2020;Wei et al, 2020;Song et al, 2021). It comprises of fuzzy pairwise comparison, matrix defuzzification, computation of consistency ratio, weight determination among other elements, to the choice of the preferred option.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Fuzzy Analytic Hierarchy Model to Appraise Water Absorption Process Parameters in Cocoa Pod Husk Composite

Abiola

Oke

2021

KJE

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Water absorption characteristics of composites are crucial to robust composite design with integrity and long service lives. In the literature, scholars have evaluated the water absorption properties of cocoa pod husk composites but reports regarding their uncertainty and imprecision are missing. In this article, cocoa pod husk particulate reinforced composite material was analyzed for uncertainty and imprecision using the fuzzy analytic process to rank and select the important parameters of the water absorption process. Experimental data from a project were collected and analyzed considering particulate loading, initial weight, particulate weight, the weight of the matrix, weight gained after 150 days and rate of water absorption as parameters.The parameters were sensitive and active and the findings provide new procedures to analyze thermoset composites under the circumstances of uncertainty and imprecision. This work aids to effectively produce composites of integrity, long lifespan and retain customers in the competitive composite market.

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Flavor quality evaluation system of Xinjiang milk knots by using SOM neural network and the fuzzy AHP

Cited by 6 publications

References 24 publications

Review of visual analytics methods for food safety risks

Review of visual analytics methods for food safety risks

Establishment of a no-notice drill mode evaluation system for public health emergencies

A Fuzzy Analytic Hierarchy Model to Appraise Water Absorption Process Parameters in Cocoa Pod Husk Composite

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