英语翻译ConclusionsThree kinds of evaluations were considered in this paper:deterministic,stochastic or fuzzy with relation to each attribute.The mixed-data dominances (MDk) were defined and suggested to model the preferences with relation to eac
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英语翻译ConclusionsThree kinds of evaluations were considered in this paper:deterministic,stochastic or fuzzy with relation to each attribute.The mixed-data dominances (MDk) were defined and suggested to model the preferences with relation to eac
英语翻译
Conclusions
Three kinds of evaluations were considered in this paper:deterministic,stochastic or fuzzy with relation to each attribute.The mixed-data dominances (MDk) were defined and suggested to model the preferences with relation to each attribute.The global preferences on the set of alternatives are approximated by means of mixed-data multi-attribute dominance rules (MMDR) for a reduced number of attributes.The rules
represent a preference model by the DM which can be applied to a new set of potential alternatives.This methodology was applied to solve the ranking project problem,from the best to the worst.For doing this,we adopted the DRSA of Greco et al.(1999).
英语翻译ConclusionsThree kinds of evaluations were considered in this paper:deterministic,stochastic or fuzzy with relation to each attribute.The mixed-data dominances (MDk) were defined and suggested to model the preferences with relation to eac
结论
三种评估本文认为:确定性、随机和模糊关系到每一个属性.(MDk)的耐mixed-data定义了模型提出的喜好与关系到每一个属性.全球的偏好上集合近似方案通过mixed-data多属性优势规则(MMDR)低数量的属性.规则
代表一个偏好模型的DM可以适用于一套新的潜在的替代物.该方法应用到解决排名工程问题,从最好的到最坏的打算.这样做,我们采取的这些DRSA杨建军.(1999).