# An Optimization Route Selection Method of Urban Oversize Cargo Transportation
## 2 Literature Review
In other practical application fields, scholars also used the entropy weight method to determine weight coefficients in ionospheric combination prediction [35], construction project management evaluation [36], decision support for heavy machine remanufacturing [37], etc. There have been many studies on the entropy weight method itself, such as a study on Shannon entropy [38], studies on the combination of AHP and the entropy weight method [39; 40], a study on the combination of the entropy weight method and fuzzy algorithm [41], and research on the combination of the ideal point method and the entropy weight method [42; 43]. At the same time, [PERSON] et al. systematically reviewed and sorted the development process of the entropy weight method [44]. Cloud models study fuzziness and randomness and the relationship between them, which can improve the deficiency of probability theory and fuzzy mathematics in dealing with uncertainty. Therefore, it is applied in risk control, trust evaluation, and other aspectsof research. [PERSON] and [PERSON] proposed a hybrid risk evaluation model based on a cloud model and fuzzy comprehensive evaluation (FCE) method to evaluate the risk of Ultra High Voltage projects and find out the key risk factors [45]. [PERSON] applied a novel integrated FMEA model based on cloud model theory and a hierarchical TOPSIS method to assess and rank the risk of failure modes [46]. [PERSON] developed a new quantifiable subjective trust evaluation approach based on the cloud model, which can effectively support subjective trust decisions and provide a helpful exploitation for subjective trust evaluation [47]. [PERSON] suggested a trust evaluation method for clustered wireless sensor networks based on the cloud model, which implements the conversion between the qualitative and quantitative of sensor nodes' trust metrics [48]. [PERSON] used the cloud model in a smart distribution grid to achieve mutual combination and conversion between the qualitative evaluation system and the quantitative study [49]. [PERSON] proposed a decision-making method based on a cloud model in order to solve multicriteria group decision-making problems in situations where the criteria weights are known completely, but the decision-makers' weights are unknown and the criteria values are interval linguistic variables [50]. In the application of the TOPSIS method, some scholars used it in the research of logistics and transportation. [PERSON] used TOPSIS to determine the location of the logistics center and verify the applicability of TOPSIS in the field of transportation and logistics [51] and supplier selection [52]. [PERSON] used TOPSIS to conduct research on risk management in the supply chain and transportation fields, and these research results have been well applied in enterprises [53]. [PERSON] used TOPSIS to study reverse logistics in the electronics industry and illustrated the robustness of the method [54]. In other fields, the TOPSIS method is often used--e.g., in management research, such as the analysis of corporate driving factors [55], the selection of device location [56], the selection of personnel [57], the selection of information technology solutions [58], and the problem of location selection [59], etc. The main research achievements for the environment are earthquake disaster analysis [60], environmental indicator evaluation [61], solid waste management [62], and drought assessment [63], etc. Over recent years, improvement of the TOPSIS method has been in progress. [PERSON] introduced the behavior tendency of decision-makers to improve the TOPSIS method [64]. [PERSON] explored the application of the TOPSIS method in group decision making [65], [PERSON] introduced grey relational analysis [66], [PERSON] introduced the CBR method [67], and [PERSON] integrated fuzzy DEMATEL, TOPSIS, and ELECTRE methods [68]. It can be summed up from the literature review that there is currently no research on the route selection of oversize cargo transportation passing through a city.