| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4944337 | Information Sciences | 2017 | 25 Pages |
Abstract
In this paper, we propose an improved multiple attribute decision making (MADM) method based on the proposed new score function SWC of interval-valued intuitionistic fuzzy values (IVIFVs) and the linear programming (LP) methodology to overcome the drawback of Chen and Huang's method (2017) for MADM interval-valued intuitionistic fuzzy (IVIF) environments, where Chen and Huang's method has the drawback that it cannot distinguish the preference order of alternatives in some situations.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Cheng-Yi Wang, Shyi-Ming Chen,