期刊
INFORMATION SCIENCES
卷 465, 期 -, 页码 404-424出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.06.047
关键词
Hyperbolic tangent function; IVIFSs; IVIFVs; MADM; NLP methodology; Shannon's information entropy
In this paper, we propose a novel multiattribute decision making (MADM) methodology based on Shannon's information entropy, the non-linear programming (NLP) methodology and interval-valued intuitionistic fuzzy values (IVIFVs), where attributes' weights and evaluating attributes' values with respect to alternatives are expressed by IVIFVs. Several examples are used to illustrate that the proposed MADM methodology can conquer the drawbacks of Wang and Chen's MADM methodology (2018) in interval-valued intuitionistic fuzzy (IVIF) environments. (C) 2018 Elsevier Inc. All rights reserved.
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