Comparative Analysis on Vessel Reduction Scales by Group and Factor Using AHP

Nam, Jongoh; Jeong, Min-ju; Kim, Tae Hyun

doi:10.13000/jfmse.2017.29.5.1491

Cited by 1 publication

(1 citation statement)

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“…When using A. J. Kee to calculate the weight of each factor, the factors to be evaluated need to be arranged in a row. By the lowest evaluation factor as the benchmark, the important degree of the adjacent evaluation factors could be judged; and then important results obtained from the previous step are benchmarked; finally, the benchmarked data results of important degree are normalized, and the weight value of each factor is finally obtained (Chen & Yang, 2018; Nam et al, 2017).…”

Section: Model Building Methodsmentioning

confidence: 99%

RETRACTED: Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management

Zhang

2022

Expert Systems

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This exploration aims to promote the development of ice and snow sports (ISS), strengthen people's physiques and improve people's health level. First, the fuzzy comprehensive evaluation method is adopted to determine the importance weight of the intelligent cognitive factors of ISS. Then, based on the evaluation grade, the membership matrix of intelligent cognitive factors of ISS is constructed, and an individual cognitive ability evaluation model combining qualitative analysis with quantitative analysis is established. Statistical Product and Service Solutions (SPSS) 25.0 and Smartpls software are further used to determine the questionnaire items about the participation intention in ISS training. A structural equation model among individual participation intention, theoretical factors of planned behaviour and participation behaviour is constructed. After analysing the data obtained from the survey, the final results are as follows. (1) Harbin's largest number of ISS participants is 18–29 years old, accounting for 44.8%. Undergraduate education accounts for 47.5%. The number of participants whose monthly income is 6001–12,000 is the largest, accounting for 25%. (2) The number of people participating in skating is the highest, reaching 59.7%. The proportion of people who have participated in ISS for one year or less is the highest, reaching 45.8%. From the consumption amount perspective, the people spending 1000 yuan and below account for the highest proportion, so the consumption degree of ISS is mainly experiential consumption. (3) The correlation coefficient between subjective norms and individual participation intention is 0.598, indicating that the relationship between the two is significantly positive, that is, subjective norms will have a certain impact on individual participation intention. The correlation coefficient between behaviour attitude and participation intention is 0.697, indicating that the relationship between them is significantly positive. The correlation coefficient between perceived behaviour control and participation intention is 0.745, indicating a significant positive correlation between them. The research content provides a theoretical basis for the follow‐up ISS training intelligent cognition. It can also provide a reference for the further development of ISS in China.

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Section: Model Building Methodsmentioning

confidence: 99%

RETRACTED: Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management

Zhang

2022

Expert Systems

View full text Add to dashboard Cite

show abstract

Comparative Analysis on Vessel Reduction Scales by Group and Factor Using AHP

Cited by 1 publication

References 3 publications

RETRACTED: Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management

RETRACTED: Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management

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