Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China

Abstract

The floods have undermined the sustainable construction of cities because of their sudden and destruction. To reduce the losses caused by floods, it is necessary to make a reasonable evaluation for historical floods and provide scientific guidance for future precaution. Previous research mainly used subjective/objective weights or barely made static analysis without considering the uncertainty and ambiguity of floods. Therefore, this study proposed a variable fuzzy recognition model, based on combined weights, to evaluate floods, including the determination of index weights and the choice of evaluation model. To make the index weights reflect both subjective experience and objective data, the combined weights were proposed and calculated based on the principle of minimum identification information. Then, the relative membership degree matrix and evaluation results can be worked out by the variable fuzzy recognition model. Conclusions indicated that the combined weights were more convincing than simply subjective or objective weights. Moreover, the variable fuzzy recognition model, by changing model parameters, got stable evaluation results of the sample data. Therefore, the model can improve the credibility of evaluation and the conclusions can provide reasonable suggestions for management departments.

Evaluation of enterprise technology innovation capability in prefabricated construction in China

“…This study combines the subject weights and the objective weights according to the minimum identification information principle (Dou et al , 2018), to make the index weights be closer to reality: …”

“…The latter is more flexible and closer to reality but has individual preferences. The combined weights integrate subjective and objective weights, with the most theoretical and practical explanatory power (Dou et al , 2018). Existing studies mainly focus on a comprehensive evaluation, commonly using gray system evaluation (Li et al , 2004)], fuzzy evaluation (Dou et al , 2018) and analytic hierarchy process (Zhu et al , 2020), which integrates several index values into one value but loses much information brought by the original index information.…”

“…According to equation (6) (Dou et al , 2018), the combined weights of ES, TO, PO and PC capability of construction enterprises are achieved: …”

“…Combined weights based on fuzzy cognitive map and information entropy. According to equation ( 6) (Dou et al, 2018)…”

Integrating Salt Culture into Rural Revitalization: Planning and Design of a Thematic Creative Agricultural Garden in Jintan, Jiangsu, China

“…A consistency test is needed due to the inherent subjectivity of the expert scoring method that involves the calculation of the consistency indicator (CI) and ratio (CR) as shown in Equations 1 and 2 to ensure the accuracy and reliability of the hierarchical order [3].…”