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Similarity Evaluation Based on Intuitionistic Fuzzy Set for Service Cluster Selection as Cloud Service Candidate

  • Jorick Lartigau
  • Xiaofei Xu
  • Lanshun Nie
  • Dechen Zhan
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 144)

Abstract

Cloud manufacturing (CMfg) provides new opportunities toward the servitization, and embeds a set of functional features to enhance the collaboration among various service providers and their resources. The main target is to compose dedicated manufacturing cloud, by encompassing a set of cloud services, to manufacture a requested service. CMfg is a recent concept, but already widely spread in the academic and industrial researches in China. The paper firstly focuses on the manufacturing environment background to understand its purpose. Thus as an introduction, the concept of CMfg is discussed. Finally, we present a method based on intuitionistic fuzzy set for the similarity evaluation between cloud services and service clusters. The objective is to match the best service cluster to provide composite resource services as cloud service candidates. Our method is ABC (Artificial Bee Colony) optimized, and its performance are discussed through experiments.

Keywords

Cloud manufacturing (CMfg) Service cluster Cloud service Intuitionistic fuzzy set (IFS) Artificial bee colony (ABC) 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Jorick Lartigau
    • 1
  • Xiaofei Xu
    • 1
  • Lanshun Nie
    • 1
  • Dechen Zhan
    • 1
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina

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