Journal
INFORMATION SCIENCES
Volume 506, Issue -, Pages 424-442Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2019.08.027
Keywords
IVIFSs; IVIFVs; MADM; Nonlinear programming methodology; TOPSIS method
Categories
Funding
- Major Humanities and Social Sciences Research Projects in Zhejiang Universities [2018QN058]
- China Postdoctoral Science Foundation [2018QN058]
- K. C. Wong Magna Fund in Ningbo University, China
- Ministry of Science and Technology, Republic of China [MOST 107-2221-E-011-122-MY2]
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In this paper, we propose a new multiple attribute decision making (MADM) method based on the nonlinear programming (NLP) methodology, the TOPSIS method and interval-valued intuitionistic fuzzy values (IVIFVs). The evaluating values of the alternatives with respect to attributes and the attributes' weights are represented by IVIFVs. The NLP methodology is applied to get the optimal attributes' weights. The proposed MADM method can overcome the drawbacks of the existing MADM methods to deal with MADM problems using IVIFVs. (C) 2019 Elsevier Inc. All rights reserved.
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