A Group Decision Framework with Intuitionistic Preference Relations and Its Application to Low Carbon Supplier Selection
| Autor: | Zhou-Jing Wang, Xiayu Tong |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Health Toxicology and Mutagenesis lcsh:Medicine 02 engineering and technology intuitionistic preference relation Article 020901 industrial engineering & automation Operator (computer programming) group decision making 0202 electrical engineering electronic engineering information engineering Selection (linguistics) Mathematics Variable (mathematics) consistency induced intuitionistic ordered weighted averaging operator low carbon supplier selection lcsh:R Public Health Environmental and Occupational Health Decision problem Preference Group decision-making TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS 020201 artificial intelligence & image processing Preference relation Decision model Mathematical economics |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 13, Iss 9, p 923 (2016) International Journal of Environmental Research and Public Health; Volume 13; Issue 9; Pages: 923 |
| ISSN: | 1660-4601 |
| Popis: | This article develops a group decision framework with intuitionistic preference relations. An approach is first devised to rectify an inconsistent intuitionistic preference relation to derive an additive consistent one. A new aggregation operator, the so-called induced intuitionistic ordered weighted averaging (IIOWA) operator, is proposed to aggregate individual intuitionistic fuzzy judgments. By using the mean absolute deviation between the original and rectified intuitionistic preference relations as an order inducing variable, the rectified consistent intuitionistic preference relations are aggregated into a collective preference relation. This treatment is presumably able to assign different weights to different decision-makers’ judgments based on the quality of their inputs (in terms of consistency of their original judgments). A solution procedure is then developed for tackling group decision problems with intuitionistic preference relations. A low carbon supplier selection case study is developed to illustrate how to apply the proposed decision model in practice. |
| Databáze: | OpenAIRE |
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