TY - JOUR
T1 - Research on multi-objective decision-making under cloud platform based on quality function deployment and uncertain linguistic variables
AU - Fan, Jiashuang
AU - Yu, Suihuai
AU - Chu, Jianjie
AU - Chen, Dengkai
AU - Yu, Mingjiu
AU - Wu, Tong
AU - Chen, Jian
AU - Cheng, Fangmin
AU - Zhao, Chuan
N1 - Publisher Copyright:
© 2019
PY - 2019/10
Y1 - 2019/10
N2 - With developments in cloud computing and big data, the term “cloud” has become a household name owing to its characteristics of smartness and connectedness. Cloud-based platforms are associated with people. However, multi-objective decision-making problem in cloud platforms has not been extensively studied. There is no consensus on the reasonable and effective implementation of the decision-making model to select the optimum design scheme in a cloud platform and its establishment to objectively evaluate its significance. In this study, to efficiently and accurately realize the optimal selection of design scheme, a fuzzy evaluation mechanism in handling the vagueness and uncertainty is established, with the advantage of quality function deployment and strength Pareto evolutionary algorithm in decision analysis. A case study is provided to validate the proposed approach in cloud platforms. To reveal the advantages of the proposed method, it was compared with other methods such as the requirement-scenario-experience evaluation framework and a rough number-based integrated method. MATLAB programming was used for this comparison and accuracy certification. The result shows that the proposed model is more efficient and dynamic and provided users with multidimensional evaluation based on open and distributed resources system.
AB - With developments in cloud computing and big data, the term “cloud” has become a household name owing to its characteristics of smartness and connectedness. Cloud-based platforms are associated with people. However, multi-objective decision-making problem in cloud platforms has not been extensively studied. There is no consensus on the reasonable and effective implementation of the decision-making model to select the optimum design scheme in a cloud platform and its establishment to objectively evaluate its significance. In this study, to efficiently and accurately realize the optimal selection of design scheme, a fuzzy evaluation mechanism in handling the vagueness and uncertainty is established, with the advantage of quality function deployment and strength Pareto evolutionary algorithm in decision analysis. A case study is provided to validate the proposed approach in cloud platforms. To reveal the advantages of the proposed method, it was compared with other methods such as the requirement-scenario-experience evaluation framework and a rough number-based integrated method. MATLAB programming was used for this comparison and accuracy certification. The result shows that the proposed model is more efficient and dynamic and provided users with multidimensional evaluation based on open and distributed resources system.
KW - Cloud platform
KW - Multi-objective decision-making
KW - Quality function deployment
KW - The strength Pareto evolutionary algorithm
KW - The uncertain linguistic variables
UR - http://www.scopus.com/inward/record.url?scp=85067888355&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2019.100932
DO - 10.1016/j.aei.2019.100932
M3 - 文章
AN - SCOPUS:85067888355
SN - 1474-0346
VL - 42
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 100932
ER -