Location planning is one of very important tasks in the manufacturing industry. There are various factors that influence the selection of a location of a production plant. In cases of selection, when uncertainty and a need for predicting are significantly manifested, the use of fuzzy or grey numbers can be very useful. That is why an approach based on the use of Interval-Valued Intuitionistic Fuzzy Numbers (IVIFNs) for the selection of the most appropriate location of a production plant is considered in this article. The efficiency of the proposed approach is considered on an example, based on the real problem of the smelter and refinery production plant selection.
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Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
Key Lab Oceanog Big Data Min & Applicat Zhejiang, Zhoushan 316022, Zhejiang, Peoples R ChinaZhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
Xu, Xin-Hong
Li, De-Chao
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Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
Key Lab Oceanog Big Data Min & Applicat Zhejiang, Zhoushan 316022, Zhejiang, Peoples R ChinaZhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
Li, De-Chao
Liu, Zhi-Song
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Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
Key Lab Oceanog Big Data Min & Applicat Zhejiang, Zhoushan 316022, Zhejiang, Peoples R ChinaZhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316022, Zhejiang, Peoples R China
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Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, SerbiaUniv Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia
Pamucar, Dragan
Gorcun, Omer Faruk
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Kadir Has Univ, Dept Int Logist & Trade, Cibali Av Kadir Has St Fatih, TR-34083 Istanbul, TurkeyUniv Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia
Gorcun, Omer Faruk
Kucukonder, Hande
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Bartin Univ, Fac Econ & Adm Sci, Dept Numer Methods, Bartin, TurkeyUniv Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia