混合不确定条件下基于信息公理的产品服务系统方案评价  

Product-service system evaluation based on information axiom in hybrid uncertain environment

作　　者：陈东萍[1] 褚学宁[1] 冯涛[1] 李玉鹏[1] 左冠丽 

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《计算机集成制造系统》2014年第8期2071-2078,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51075261);高等学校博士学科点专项科研基金资助项目(20120073110096);上海市科技创新行动计划资助项目(11DZ1120800;12dz1125600)~~

摘　　要：针对基于信息公理的产品服务系统方案评价中,有一类评价指标的系统范围是随机变量,设计范围是模糊变量,其信息量计算涉及上下界为模糊数的积分,传统的信息公理无法直接计算的情况,提出系统和设计范围分别为随机和模糊变量的混合不确定条件下的信息公理方案评价方法,建立了模糊性和随机性共存的混合不确定指标模型,基于模糊模拟方法提出上下界为模糊数的信息量积分算法。以起重机产品服务系统方案评价为例,通过与传统的信息公理评价方法比较可知,所提方法能更有效地表达服务评价过程中决策者的意图,提高信息公理评价方法的准确性和实用性。Aiming at the problem that the traditional information could not calculate one kind of evaluation system di- rectly for the inherent characters of its system range in the Information Axiom （IA）-based product-service system e- valuation, the information axiom evaluation method was proposed under the hybrid uncertain condition of the system range as random variable and design range as the fuzzy variable. A hybrid uncertain index model for coexistence of fuzziness and randomness was built. Based on a fuzzy simulation method, information content integration algorithm with fuzzy boundaries was proposed. A crane machine product service system evaluation was taken as the example to verify the effectiveness on service evaluation expression by comparing with traditional information axiom method, and the correctness with practicability were also proved.

关 键 词：信息公理 方案评价 混合不确定 模糊模拟 产品服务系统 

分 类 号：TH122[机械工程—机械设计及理论] TP391.7[自动化与计算机技术—计算机应用技术]