Abstract

Emergency schemes assessment (ESA) is a momentous activity for the country or government to improve emergency management, which can effectively reduce casualties and economic losses as much as possible. The choice of emergency scheme involves many quantitative or qualitative attributes, thus it can be viewed as a complicated multiple attribute decision making (MADM) issue. Whereas the business and unpredictability characteristics of emergency events, the nondeterminacy, ambiguity and impreciseness always arise in ESA. Picture fuzzy set is deemed as an efficacious technique to seize the ambiguity and indeterminacy of preference information. Because the extant picture fuzzy aggregation operators cannot ponder the priority and relevance of attribute in coping with decision issues. Hence, the goal of this essay is to propound an innovative decision algorithm which takes the prioritized relations and correlation of the ascertained attributes into account based upon the generalized picture fuzzy archimedean copula prioritized operators and a novel score function. Firstly, we develope an innovate score function to more reasonable compare the picture fuzzy numbers. Then, by synthesizing the picture fuzzy number, archimedean copula and prioritized operator, we design the picture fuzzy Archimedean copula prioritized weighted averaging operator, picture fuzzy Archimedean copula prioritized weighted geometric operator and their ordered weighted form to fuse picture fuzzy assessment data and study several remarkable properties, particular cases of these operators. Moreover, we design a novel decision methodology on the basis of the proffered generalized operators and score function to resolve MADM problems. Furthermore, we employ it to dispose of the problem of assessing emergency management schemes in a real-life situation, in which the evaluation information provided via specialists in the form of voting. Ultimately, the outstanding superiority and efficiency of the designed method is justified through the aforementioned numerical and detailed comparative analysis.

Full Text
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