Trust Evaluation of User Behavior Based on Entropy Weight Method

Gong, Yonghua; Chen, Lei

doi:10.1007/978-981-15-8462-6_76

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The entropy weight method also had many applied types of research in economics. In recent years, research has mainly focused on the selection of suppliers and order distribution [22], enterprise product quality evaluation [23], soft power analysis [24], community sustainability assessment of public rental housing [25], user behavior analysis [26], social development analysis [27], and social impact evaluation [28], etc. In the research of energy and related fields, scholars used the entropy weight method to optimize the design of the hybrid energy system [29], comprehensive evaluation of power grid planning [30], evaluation of park energy utilization [31], comprehensive risk assessment of electricity [32], calculation of petroleum standard indicators [33], and diesel engine emission evaluation [34], etc.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Route Selection Method of Urban Oversize Cargo Transportation

Huang

Han

2021

Applied Sciences

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In order to select the optimal transportation route among alternative transportation routes more accurately and objectively, the choice of urban oversize cargo transportation routes was studied by taking the optimization weight–TOPSIS combination method for specific calculations. This model, based on an entropy weight method, cloud model, and TOPSIS method, combines the superiority of the cloud model for reflecting the randomness and discreteness of subjective evaluation with the advantages of the TOPSIS method in dealing with the problem of multi-objective programming. Through selecting and classifying several the main road influencing factors of urban oversize cargo transportation, based on the data of four urban roads, the entropy weight method is used to initially determine the weights of each influencing factor, the cloud model is used to optimize weights, the TOPSIS method is used to compare and evaluate the paths, and the optimal transportation route is selected on this basis. The results showed that the optimization weight–TOPSIS method is scientific and accurate for the multi-objective planning of oversize cargo transportation route selection, and solves the problem of the impact of subjective factors in existing methods and the difficulty of processing multiple influencing factors. The Pearson consistency test results show that the Pearson correlation coefficient between the proposed method and the actual oversize cargo transportation route selection is 0.995, which is higher than the calculation results without using the combination weight.

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Section: Literature Reviewmentioning

confidence: 99%

An Optimization Route Selection Method of Urban Oversize Cargo Transportation

Huang

Han

2021

Applied Sciences

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“…The entropy weight method also had many applied types of research in economics. In recent years, the research were mainly focused on the selection of suppliers and order distribution [17], enterprise product quality evaluation [18], soft power analysis [19], community sustainability assessments of public rental housing [20], user behavior analysis [21], social development analysis [22], and social impact evaluation [23]. In the research of energy and related fields, scholars used the entropy weight method to optimize the design of the hybrid energy system [24], comprehensively evaluate power grid planning [25], evaluate park energy utilization [26], a comprehensive risk assessment of electricity [27], calculation of petroleum standard indicators [28], and in a diesel engine emission evaluation [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Huang¹,

Han²

2021

Sustainability

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As an important part of daily economic activities, freight transportation produces various pollutions during the transportation process, which will have a negative effect on the sustainable development of the environment. In this paper, the entropy weight technique for order of preference by similarity to ideal solution (TOPSIS) combination method was used for specific calculations, in order to judge whether transportation is environmentally sustainable. On the basis of selecting and classifying several the important factors of freight transportation, the entropy weight method was used to calculate and analyze the data of inland river transportation over 8 recent years. The weight of each influencing factor was determined, then the TOPSIS method was used to compare the environmental data of 8 years, and the environmental sustainability of the target river transport section was calculated by comparing the results. The method proposed in this paper is the first example of using the entropy weight–TOPSIS combination method to evaluate environmental sustainability in the field of freight transportation, also solving the problems of the impact of subjective factors in existing methods and the difficulty of dealing with multiple factors.

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Trust Evaluation of User Behavior Based on Entropy Weight Method

Cited by 2 publications

References 5 publications

An Optimization Route Selection Method of Urban Oversize Cargo Transportation

An Optimization Route Selection Method of Urban Oversize Cargo Transportation

Research on Evaluation Method of Freight Transportation Environmental Sustainability

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