粗糙信息公理与云模型集成的方案评价方法

发布时间：2018-04-19 12:01

本文选题：方案评价 + 信息公理　；参考：《计算机集成制造系统》2017年03期

【摘要】：传统的基于多准则决策的方案评价方法均基于专家的主观决策确定指标的优劣程度,并且方案排序结果难以直观地判断方案的优劣程度。针对该问题,将信息公理可量化指标设计程度的优势和云模型可进行定量信息转化的优势相结合,提出了信息公理与云模型集成的方案评价方法。相比于模糊集方法,粗糙集不需要先验信息,能够客观地处理模糊以及不确定的评价指标信息,提出了基于粗糙信息公理的方案指标评价方法。以方案评价指标信息量为云滴,运用逆向云模型将信息量转换为定性的方案评价,进而通过云数字特征对方案进行分析。以某装载机设计方案为例,验证了所提方法的有效性。
[Abstract]:The traditional scheme evaluation methods based on multi-criteria decision are based on the subjective decision of the expert to determine the degree of the index, and the results of the scheme ranking are difficult to directly judge the degree of superiority and inferiority of the scheme.Aiming at this problem, combining the advantages of the degree of quantifiable index design of information axiom and the advantage that cloud model can transform quantitative information, a scheme evaluation method of integrating information axiom and cloud model is put forward.Compared with fuzzy set method, rough set can deal with fuzzy and uncertain evaluation index information objectively without prior information. A scheme index evaluation method based on rough information axiom is proposed.Taking the information content of the evaluation index as cloud drop, the reverse cloud model is used to transform the information into qualitative scheme evaluation, and then the scheme is analyzed by cloud digital features.The effectiveness of the proposed method is verified by taking a loader design scheme as an example.
【作者单位】：上海理工大学管理学院;
【基金】：国家自然科学基金资助项目(71301104、71271138) 高等学校博士学科点专项科研基金资助项目(20133120120002) 上海市教委员科研创新资助项目(14YZ088) 上海市一流学科资助项目(S1201YLXK) 沪江基金资助项目(A14006)~~
【分类号】：TP18;TB472

【相似文献】