Valuation Of Railway Emergency Response Capability Indicators Based On Interval-valued Preference Relation And Group Decision Making

In recent years,with the rapid development of the railway industry,railway emergencies occur frequently,causing great losses to people's lives and property as well as the national economy.Therefore,it is of great practical significance to improve the emergency capacity of railway industry.At present,there are few researches on the emergency capacity of railway industry,and the emergency response mechanism is not perfect enough,and the evaluation index system of emergency capacity has some limitations.Therefore,it is a very important task to study the evaluation index of railway emergency response capability.The paper explored railway emergency ability index and constructed the evaluation index system of railway emergency capacity,then established the evaluation model using interval partial relation and group decision theory for scientific evaluation of emergency capability evaluation of railway emergency events.First of all,according to the concept of railway emergencies,emergency capability,centering on the basic theory of the railway emergency capacity,through some methods such as looking up to literature,analyzing the existing research results,basing on the complexity of the railway emergency capacity and the uncertainty of evaluation index,which made a comprehensive analysis on the influencing factors of emergency capability,to select the evaluation index using the principles of science and objectivity,measurability and feasibility,comprehensiveness and conciseness,independence and stability,practicability and orientation,the railway emergency ability of two grade evaluation system which is established including emergency personnel security,emergency resource security,emergency response,emergency management,emergency information release and recovery of 6 level indicators and 24 two level indicators.Secondly,considering the uncertainty of evaluation indexes and expert preference to information,in determining the index weight,using interval number to express index weight and index of partial pairwise comparison,which can effectively solve the fuzzy decision and uncertainty that experts judgment index.The traditional AHP method is to calculate the weight of the index by constructing the pairwise comparison judgment matrix,and the consistency of the judgment matrix must be checked.This paper used chromatography analysis judgment matrix method,the minimum consistency test results as the goal,to calculate the index weight by using the nonlinear programming model which is a good solution to the problem of the traditional AHP method,and the method is simple,high reliability.However,because of the different factors such as the right,the specialty,the experienceand so on,it is difficult to make an accurate decision.Therefore,based on the study of individual decision making,this paper analyzed the situation of individual decision making and group decision making.In this paper,the weight vector aggregation method of individual programs is used to fuse the interval number partial order relation rule,and the weight coefficient of individual decision maker is considered when the weight vector of each individual decision expert is aggregated.Finally,the nonlinear programming model is established by the relative entropy theory,and the individual weight results are aggregated into the weight vector of the group.This method avoids the arbitrary right of individual decision making,and solves the problem of group decision preference inconsistency.Finally,it made an example to verify the effectiveness and rationality of the evaluation method and analyzed the evaluation results of railway emergency capability which is gotten through individual decision-making and group decision-making and the results showed that the final weight of group decision results are more realistic.