A group decision-making model with interval multiplicative reciprocal matrices based on the geometric consistency index
被引:21
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作者:
Liu, Fang
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机构:
Xran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Guangxi, Peoples R ChinaXran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
Liu, Fang
[1
,3
]
Zhang, Wei-Guo
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机构:
South China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R ChinaXran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
Zhang, Wei-Guo
[2
]
Shang, Yu-Fan
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机构:
Xran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R ChinaXran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
Shang, Yu-Fan
[1
]
机构:
[1] Xran Jiaotong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
[2] South China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
[3] Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Guangxi, Peoples R China
A novel group decision-making model is proposed when the experts evaluate their judgments by using interval multiplicative reciprocal matrices. First, a geometric consistency index (GCI) for interval multiplicative reciprocal matrices is defined and its properties are studied. The relation between the GCI and the consistency index (CI) of interval multiplicative reciprocal matrices is further shown. Second, the GCI of interval multiplicative reciprocal matrices is utilized to propose a new induced ordered weighted geometric averaging (IOWGA) operator, which is named as the GCI-IOWGA operator. It permits the aggregation of interval multiplicative reciprocal matrices in such a way that more important weight is given to that with more consistency. The properties of the collective interval multiplicative reciprocal matrix are further studied. Third, the sensitivity analysis of the associated exponential weight vector with respect to the parameter is made. Finally, two numerical examples are carried out to illustrate the developed model and compare with the existing methods. (C) 2016 Elsevier Ltd. All rights reserved.
机构:
BeijingWuzi Univ, Sch Informat, Beijing, Peoples R China
Cent South Univ, Sch Business, Changsha, Peoples R ChinaBeijingWuzi Univ, Sch Informat, Beijing, Peoples R China
Meng, Fanyong
Tang, Jie
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机构:
Cent South Univ, Sch Business, Changsha, Peoples R ChinaBeijingWuzi Univ, Sch Informat, Beijing, Peoples R China