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SELECTING THE OPTIMAL MINING METHOD WITH EXTENDED MULTI-OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS PLUS THE FULL MULTIPLICATIVE FORM (MULTIMOORA) APPROACH

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成果类型:
期刊论文
作者:
Liang, Weizhang;Zhao, Guoyan*;Hong, Changshou
通讯作者:
Zhao, Guoyan
作者机构:
[Liang, Weizhang; Zhao, Guoyan] Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China
[Hong, Changshou] Univ South China, Sch Environm & Safety Engn, Hengyang 421001, Peoples R China
通讯机构:
[Zhao, Guoyan] C
Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
Mining method selection;Extended MULTIMOORA;Improved SWARA;Linguistic neutrosophic numbers
期刊:
Neural Computing and Applications
ISSN:
0941-0643
年:
2019
卷:
31
期:
10
页码:
5871-5886
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51374244, 51774321]
机构署名:
本校为其他机构
院系归属:
环境与安全工程学院
摘要:
Mining method selection (MMS) is one of the core contents in mining design. As the influencing factors of MMS are in general of ambiguity or uncertainty, MMS can therefore be deemed as a complex fuzzy multi-criteria decision making problem. To resolve this problem, an extended multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) approach is studied in this paper. Three major contributions of this study are included. At first, comparative importance is crisp number in most stepwise weight assessment ratio...

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