Journal
KNOWLEDGE AND INFORMATION SYSTEMS
Volume 25, Issue 1, Pages 185-208Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s10115-009-0263-6
Keywords
Manufacturing grid (MGrid); Resource service optimal-selection (RSOS); Non-functionality quality of service (QoS); Intuitionistic fuzzy set (IFS)
Funding
- WHUT (Wuhan University of Technology)
- Hubei Digital Manufacturing Key Laboratory [SZ0621]
- National High-Tech. R&D Program of China [2007AA04Z153]
- National Programs for Fundamental RD of China [2007CB310900]
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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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