Component selection approach combining trust fuzzy evaluation and dynamic clustering

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (21): 73-76.

• 研发、设计、测试 • Previous Articles Next Articles

Component selection approach combining trust fuzzy evaluation and dynamic clustering

MA Hua1，ZHANG Hongyu2

1.Department of Computer Science and Technology，Hunan International Economics University，Changsha 410205，China
2.Business School，Central South University，Changsha 410083，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-07-21 Published:2011-07-21

结合可信度模糊评价与动态聚类的构件选择

马华1，张红宇2

1.湖南涉外经济学院计算机科学与技术学部，长沙 410205
2.中南大学商学院，长沙 410083

Abstract

Abstract: Internetware is faced with the significant challenges of trust in the open and dynamic Internet environment.A component selection approach meeting trust expectation nearest to user requirement is explored by means of the fuzzy theory.In this approach six trust attributes of component are defined for Internetware，and a fuzzy synthetic method of multi-factors is applied to evaluate component’s trust.On the basis of these，an Internetware model to satisfy the trust evaluation expectation of user requirements is built，and a trusted component selection method employing dynamic clustering based on fuzzy equivalence relation is explored to achieve the mapping from candidate component to abstract component.An application case is given to show the effectiveness of this approach.

Key words: Internetware, trusted computing, component selection, fuzzy synthetic evaluation, dynamic clustering

摘要： 开放、动态的Internet环境下，网构软件面临可信性的重大挑战。运用模糊理论，提出了一种满足最贴近用户可信度期望的构件选择方法。该方法中，定义了网构软件环境下构件的6种可信属性，介绍了一种多因素的构件可信度模糊综合评价方法，以此为基础，建立了一种满足用户可信度期望的关键词：网构软件;可信计算;构件选择;模糊综合评价;动态聚类网构软件模型，为实现候选构件与抽象构件的映射，应用基于模糊等价关系的动态聚类实现可信构件的选择。结合案例说明了方法的有效性。

关键词: 网构软件, 可信计算, 构件选择, 模糊综合评价, 动态聚类

MA Hua1，ZHANG Hongyu2. Component selection approach combining trust fuzzy evaluation and dynamic clustering[J]. Computer Engineering and Applications, 2011, 47(21): 73-76.

马华1，张红宇2. 结合可信度模糊评价与动态聚类的构件选择[J]. 计算机工程与应用, 2011, 47(21): 73-76.

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Component selection approach combining trust fuzzy evaluation and dynamic clustering

结合可信度模糊评价与动态聚类的构件选择

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