Hesitant Fuzzy TOPSIS Method and Its Application in the Cloud Resource Scheduling

DOI

10.2991/itim-17.2017.42How to use a DOI?

Keywords

Cloud resource scheduling, hesitant fuzzy sets, TOPSIS, distance measure, closeness

Abstract

The cloud resource scheduling problem(CRS) is according to users' needs for service to pick out an appropriate resource, but restricted by the actual situation, it is needed to obtain several acceptable solutions for users to choose, the paper puts forward a kind of TOPSIS method based on hesitant fuzzy sets for cloud resource scheduling; Firstly hesitant fuzzy elements describe all considered cloud resources' attribute values and attribute weights, and then define a new hesitant fuzzy distance measure, finally propose a new hesitant fuzzy closeness to sort cloud resources. Finally use a cloud resource scheduling example to test feasibility and effectiveness of new method.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongke Yang
AU  - Dinghong Peng
PY  - 2017/08
DA  - 2017/08
TI  - Hesitant Fuzzy TOPSIS Method and Its Application in the Cloud Resource Scheduling
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 179
EP  - 182
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.42
DO  - 10.2991/itim-17.2017.42
ID  - Yang2017/08
ER  -