Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

被引:35
作者
Lai, Han [1 ,2 ]
Liao, Huchang [2 ,3 ]
Saparauskas, Jonas [4 ]
Banaitis, Audrius [4 ]
Ferreira, Fernando A. F. [5 ,6 ]
Al-Barakati, Abdullah [3 ]
机构
[1] Chongqing Technol & Business Univ, Chongqing Engn Lab Detect Control & Integrated Sy, Chongqing 400067, Peoples R China
[2] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
[3] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah 21589, Saudi Arabia
[4] Vilnius Gediminas Tech Univ, Dept Construct Management & Real Estate, LT-10223 Vilnius, Lithuania
[5] Univ Inst Lisbon, BRU IUL, ISCTE Business Sch, Ave Forcas Armadas, P-1649026 Lisbon, Portugal
[6] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA
关键词
multiple criteria decision making; sustainable development; cloud service provider selection; double normalization-based multiple aggregation (DNMA) method; Z number; Gini coefficient; MULTICRITERIA DECISION-MAKING; DETERMINING TRUSTWORTHINESS; SELECTION; TOPSIS; SET; EXTENSION;
D O I
10.3390/su12083410
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.
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页数:17
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