Journal
INFORMATION FUSION
Volume 53, Issue -, Pages 240-250Publisher
ELSEVIER
DOI: 10.1016/j.inffus.2019.06.028
Keywords
Multi-criteria group decision-making; Consensus measures; Multi-granular fuzzy linguistic modelling; Computing with words
Funding
- Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, Saudi Arabia [KEP-7-135-39]
- DSR
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This paper presents a novel multi-criteria group decision-making method that is capable of working in heterogeneous and dynamic environments. It is applicable in non-static frameworks where the decision context can vary at any time during the process. It also makes experts comfortable by allowing them to provide information using their most preferred means. By using multi-granular fuzzy linguistic modelling, the experts can provide preferences using their preferred linguistic label set. Furthermore, they also can choose the criteria values that they want to provide preferences for. Also, experts, alternatives and criteria can be added at any time during the decision process. Finally, consensus measures are applied in order to promote further debate and to help the experts reach an agreement.
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