A New Method of Cloud Manufacturing Service Optimal-selection Based on Intuitionistic Fuzzy Set

Abstract

Abstract:

In order to choose the best performance cloud manufacturing service from a cloud manufacturing service candidate set, the problem of cloud manufacturing service optimal-selection was supposed. The QoS attributes were divided into quantitative and non-quantitative ones. Different calculation methods were used toward different kind of QoS attributes. Then a conception of cloud manufacturing service valid period was supposed to enrich the description of the changes of QoS. After fully considering user's needs, an interaction way was put forward,which aimed to get the information about QoS attributes that users prefered.An available way was given to get the weights of QoS attributes.

Key words: cloud manufacturing, intuitionistic fuzzy set, QoS(quality of service), optimal-selection

摘要：

为了在制造云服务候选集中优选出服务质量最佳的制造云服务，提出了制造云服务优选问题，并设计了求解方法。将制造服务质量特征分为可量化和不可量化两种类型，分别用综合加权法来分析可量化服务质量特征，用直觉模糊集运算法分析不可量化的服务质量特征。提出了“制造服务有效期”的概念，更加贴切地表现制造服务性能动态变化的特点。在充分考虑用户需求的同时，针对不同用户的个性化选择，提出了一种交互式的服务质量特征权重分析方法。

关键词: 云制造;直觉模糊集, 服务质量;优选

CLC Number:

TH166

Cai Tan;Liu Weining;Liu Bo. A New Method of Cloud Manufacturing Service Optimal-selection Based on Intuitionistic Fuzzy Set[J]. China Mechanical Engineering, 2014, 25(3): 352-356,421.

蔡坦;刘卫宁;刘波. 一种新的基于直觉模糊集的制造云服务优选方法[J]. 中国机械工程, 2014, 25(3): 352-356,421.

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