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Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system

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Abstract

In manufacturing grid (MGrid) system, according to functional requirements of a task, there exist a lot of resource services which have similar functional characteristics. Multiple resource services with similar functional characteristics raise the concern over resource service optimal-selection (RSOS). It is important to select the optimal resource service according to their non-functionality characteristics or quality of service (QoS). However, QoS attributes are not easy to measure due to their complexity and involvement of ill-structured information. In this study, user’s feeling is taken into account in RSOS in an MGrid system. The non-functionality QoS evaluation of resource services is based on users’ feeling and transaction experiences using intuitionistic fuzzy set (IFS). Furthermore, the dynamics of non-functionality QoS is considered, and a time-decay function is introduced into non-functionality QoS evaluation. A new method is proposed for RSOS based on IFS and non-functionality QoS, and the procedures are presented in detail. A practice case study is used to illustrate the proposed method and procedure. The performance and advantage of the proposed method are discussed.

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, People’s Republic of China

    Fei Tao & Lin Zhang

  2. Hubei Digital Manufacturing Key Laboratory, Wuhan University of Technology, 430070, Wuhan, People’s Republic of China

    Fei Tao

  3. Department of Electrical and Computer Engineering, The University of Michigan-Dearborn, Dearborn, MI, 48128-1491, USA

    Dongming Zhao

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  1. Fei Tao
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  2. Dongming Zhao
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  3. Lin Zhang
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Correspondence to Fei Tao.

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Tao, F., Zhao, D. & Zhang, L. Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system. Knowl Inf Syst 25, 185–208 (2010). https://doi.org/10.1007/s10115-009-0263-6

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  • DOI: https://doi.org/10.1007/s10115-009-0263-6

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