期刊
INFORMATION SCIENCES
卷 471, 期 -, 页码 252-268出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.08.021
关键词
IVIFSs; IVIFVs; Linear programming methodology; Nonlinear programming methodology; MADM
资金
- Ministry of Science and Technology, Republic of China [MOST 104-2221-E-011-084-MY3]
In this paper, we propose a new multiattribute decision making (MADM) method by applying the nonlinear programming (NLP) methodology and particle swarm optimization (PSO) techniques using interval-valued intuitionistic fuzzy values (IVIFVs) to conquer the drawbacks of Chen and Huang's MADM method (2017), which has three drawbacks, i.e., (1) multiple different preference orders (POs) of alternatives are obtained in some situations, (2) the PO of alternatives cannot be distinguished in some circumstances, and (3) the PO of alternatives cannot be obtained in some circumstances. Moreover, the proposed MADM method also can conquer the shortcomings of Chen and Chiou's MADM method (2015), Li's MADM method (2010) and Zhitao and Yingjun's method (2011). (C) 2018 Elsevier Inc. All rights reserved.
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