Journal
SYMMETRY-BASEL
Volume 10, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/sym10070281
Keywords
three-way decisions; decision-theoretic rough sets; interval-valued intuitionistic fuzzy sets; group decision-making
Categories
Funding
- National Science Foundation of China [71401026, 71432003, 71571148]
- Fundamental Research Funds for the Central Universities of China [ZYGX2014J100]
- Social Science Planning Project of the Sichuan Province [SC15C009]
- Sichuan Youth Science and Technology Innovation Team [2016TD0013]
- Electronic Commerce and Modern Logistics Research Center Program, Key Research Base of Humanities and Social Science, Sichuan Provincial Education Department [DSWL17-10]
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In this article, we demonstrate how interval-valued intuitionistic fuzzy sets (IVIFSs) can function as extended intuitionistic fuzzy sets (IFSs) using the interval-valued intuitionistic fuzzy numbers (IVIFNs) instead of precision numbers to describe the degree of membership and non-membership, which are more flexible and practical in dealing with ambiguity and uncertainty. By introducing IVIFSs into three-way decisions, we provide a new description of the loss function. Thus, we firstly propose a model of interval-valued intuitionistic fuzzy decision-theoretic rough sets (IVIFDTRSs). According to the basic framework of IVIFDTRSs, we design a strategy to address the IVIFNs and deduce three-way decisions. Then, we successfully extend the results of IVIFDTRSs from single-person decision-making to group decision-making. In this situation, we adopt a grey correlation accurate weighted determining method (GCAWD) to compute the weights of decision-makers, which integrates the advantages of the accurate weighted determining method and grey correlation analysis method. Moreover, we utilize the interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operation to count the aggregated scores and the accuracies of the expected losses. By comparing these scores and accuracies, we design a simple and straightforward algorithm to deduce three-way decisions for group decision-making. Finally, we use an illustrative example to verify our results.
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