| With the continuous advancement of railway construction in mountainous areas,the number of road sections that need to overcome elevation barriers has also increased accordingly.In order to effectively overcome the height difference,save project investment,and ensure driving safety,mountain railways inevitably need to use long ramps.There are many decisionmaking indicators for the selection of long ramp route schemes of mountain railways and they often influence each other.There are many uncertainties in the decision-making process.Research on how to make scientific and reasonable decisions on long ramp route schemes has important social significance and application value.Therefore,this paper studies the problem of selecting the route plan for the long ramp of the mountain railway based on uncertain multiattribute decision-making,and strives to build the best decision model to fit the uncertainty in the decision-making process,improve the quality of decision-making,and provide a long ramp for the mountain railway.The route plan preferably provides a theoretical reference.Firstly,the applicability of uncertain multi-attribute decision-making theory in the optimization of long ramp route schemes of mountain railways is discussed.The basic principles and content of uncertainty theory and behavioral decision theory in decision-making are studied,and cloud model theory,interval number theory,and prospect theory in uncertainty theory are analyzed.The theory of uncertain multi-attribute decision-making has grown up in mountain railways.The applicability of the ramp route scheme optimization is discussed.Then,the maximum slope of the mountain passenger dedicated line is studied,and the key factors affecting the operation of the long ramp of the mountain passenger dedicated line are discussed.Analyzed the necessity of studying long ramps on passenger dedicated railway lines in mountainous areas,summarized the operation of long ramps,and studied the key operations of long ramps on passenger dedicated railway lines in mountainous areas from three aspects:operational safety,transportation capacity and transportation quality.Influencing factors.Secondly,it studies the evaluation index system and index weights for the optimization of the long ramp route scheme of the mountain railway.Established a selection evaluation index system for the route plan of the mountain railway long ramp from five aspects: technical feasibility,economic rationality,line operation,construction and environmental impact,and social significance;adopting cloud model-entropy weight method,interval number distance method The method of maximizing deviation determines the weights of subjective and objective indicators,and uses the principle of minimum information identification to weight the combination of indicators.Thirdly,an evaluation model based on uncertain multi-attribute decision-making is constructed for the selection and evaluation of mountain railway long ramp route schemes.Combining cloud model theory,interval number theory and prospect theory,a method is proposed to solve uncertain multi-attribute decision-making problems where the evaluation index information is exact numbers,interval numbers,and linguistic fuzzy numbers,and a method based on uncertainty language and Prospect theory-based mountain railway long ramp route selection evaluation model;combining prospect theory with improved TOPSIS method and VIKOR method,a mountain railway long ramp route selection evaluation model based on prospect theory and ideal point method is constructed.Finally,the Chongqing-Kunming high-speed railway(Junlian-Zhaotong section)is selected as an example of long ramp route selection,and the applicability of the evaluation model for mountain railway long ramp route selection based on uncertain multi-attribute decision-making is verified through examples.It is scientific and comparatively analyzed the decision sensitivity of different weighting methods and different evaluation models,which provides reference value for other mountain railway line selection decision-making based on uncertain multi-attribute decision-making theory. |