针对属性值为区间值概率不确定语言术语集(interval-valued probabilistic uncertain linguistic term set, IVPULTS)、专家权重未知的多属性群决策问题,提出一种融合距离和相似度的决策方法。首先,由于现有的IVPULTS中元素的无序性导...针对属性值为区间值概率不确定语言术语集(interval-valued probabilistic uncertain linguistic term set, IVPULTS)、专家权重未知的多属性群决策问题,提出一种融合距离和相似度的决策方法。首先,由于现有的IVPULTS中元素的无序性导致距离测度及决策结果不唯一,利用区间优势度方法对区间值概率进行排序,从而形成有序的IVPULTS;同时考虑到现有距离测度区分能力不高,利用不确定语言距离度量方法扩充现有距离公式。其次,基于距离与相似测度存在的对偶关系,为IVPULTS定义了距离相似度公式,并利用改进的相似—信任网络分析法确定不同专家的权重。再次,设计了基于改进距离和相似—信任网络的TOPSIS决策方法(improved distance and similarity-trust network TOPSIS,IDSTN-TOPSIS),从而得到唯一且稳定的方案排序。最后,以新冠疫情下某医疗用品制造公司熔喷布弹性供应商选择为例,验证了所提方法的有效性和优越性。展开更多
The cloud computing has been growing over the past few years, and service providers are creating an intense competitive world of business. This proliferation makes it hard for new users to select a proper service amon...The cloud computing has been growing over the past few years, and service providers are creating an intense competitive world of business. This proliferation makes it hard for new users to select a proper service among a large amount of service candidates. A novel user preferences-aware recommendation approach for trustworthy services is presented. For describing the requirements of new users in different application scenarios, user preferences are identified by usage preference, trust preference and cost preference. According to the similarity analysis of usage preference between consumers and new users, the candidates are selected, and these data about service trust provided by them are calculated as the fuzzy comprehensive evaluations. In accordance with the trust and cost preferences of new users, the dynamic fuzzy clusters are generated based on the fuzzy similarity computation. Then, the most suitable services can be selected to recommend to new users. The experiments show that this approach is effective and feasible, and can improve the quality of services recommendation meeting the requirements of new users in different scenario.展开更多
基金国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of Chinaunder Grant No.2006CB708301)国家自然科学基金(the National Natural Science Foundation of Chinaunder GrantNo.60673187)+2 种基金教育部科技创新培育重点项目(No.707005)诺基亚研究生科研创新基金河北省科学技术研究与发展指导计划项目(No.07213570)
文摘针对属性值为区间值概率不确定语言术语集(interval-valued probabilistic uncertain linguistic term set, IVPULTS)、专家权重未知的多属性群决策问题,提出一种融合距离和相似度的决策方法。首先,由于现有的IVPULTS中元素的无序性导致距离测度及决策结果不唯一,利用区间优势度方法对区间值概率进行排序,从而形成有序的IVPULTS;同时考虑到现有距离测度区分能力不高,利用不确定语言距离度量方法扩充现有距离公式。其次,基于距离与相似测度存在的对偶关系,为IVPULTS定义了距离相似度公式,并利用改进的相似—信任网络分析法确定不同专家的权重。再次,设计了基于改进距离和相似—信任网络的TOPSIS决策方法(improved distance and similarity-trust network TOPSIS,IDSTN-TOPSIS),从而得到唯一且稳定的方案排序。最后,以新冠疫情下某医疗用品制造公司熔喷布弹性供应商选择为例,验证了所提方法的有效性和优越性。
基金Project(61272148) supported by the National Natural Science Foundation of ChinaProject(2014FJ3122) supported by the Science and Technology Project of Hunan Province,China
文摘The cloud computing has been growing over the past few years, and service providers are creating an intense competitive world of business. This proliferation makes it hard for new users to select a proper service among a large amount of service candidates. A novel user preferences-aware recommendation approach for trustworthy services is presented. For describing the requirements of new users in different application scenarios, user preferences are identified by usage preference, trust preference and cost preference. According to the similarity analysis of usage preference between consumers and new users, the candidates are selected, and these data about service trust provided by them are calculated as the fuzzy comprehensive evaluations. In accordance with the trust and cost preferences of new users, the dynamic fuzzy clusters are generated based on the fuzzy similarity computation. Then, the most suitable services can be selected to recommend to new users. The experiments show that this approach is effective and feasible, and can improve the quality of services recommendation meeting the requirements of new users in different scenario.
