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Quality of experience–oriented fuzzy routing decision by combining multiple attributes experience data

Author

Listed:
  • Lingmin Yang
  • Hong Wang
  • Shunying Zhu
  • Changhua Yao
  • Junye Meng

Abstract

The routing decisions of information data are important to many intelligent systems, such as transporting system. The quality of experience in the routing decisions has drawn attention in recent works. This article studies the quality of experience–oriented routing decision problem using the vacillating fuzzy analysis approach. The integration operators and multiple attribute routing decision method based on multiple unsure information are studied. The experimental results show that the proposed approach solves the personal experience–oriented routing decision problem by improving the qualification of experience under the unsure and uncompleted information conditions.

Suggested Citation

  • Lingmin Yang & Hong Wang & Shunying Zhu & Changhua Yao & Junye Meng, 2017. "Quality of experience–oriented fuzzy routing decision by combining multiple attributes experience data," International Journal of Distributed Sensor Networks, , vol. 13(9), pages 15501477177, September.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:9:p:1550147717729307
    DOI: 10.1177/1550147717729307
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    References listed on IDEAS

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    1. Meimei Xia & Zeshui Xu & Na Chen, 2013. "Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(2), pages 259-279, March.
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