On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Declared-strategy voting: an instrument for group decision-making
Declared-strategy voting: an instrument for group decision-making
Ranking of alternatives with ordered weighted averaging operators
International Journal of Intelligent Systems
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Fuzzy quantifiers in sensitivity analysis of OWA operator
Computers and Industrial Engineering
Decision support for sustainable option selection in integrated urban water management
Environmental Modelling & Software
Defining the Borda count in a linguistic decision making context
Information Sciences: an International Journal
Sensitivity of multi-criteria decision making to linguistic quantifiers and aggregation means
Computers and Industrial Engineering
A fuzzy rank-based late fusion method for image retrieval
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Borda count is a well-known social choice method frequently used for group decision making problems, however, it does not consider the optimistic/pessimistic view of the director, which has a great effect on group decisions. In the present study, the traditional Borda method is extended by using the ordered weighted averaging (OWA) operator to consider the risk-attitudinal characteristics. The new approach, entitled Borda-OWA, solves the group decision making problem in a more intelligent procedure. Borda-OWA is then applied on two real case studies of forest management and projects ranking. The outcomes show that the Borda-OWA operator produces more soft and sensitive results by using the director's risk attitudes, guided by the fuzzy linguistic quantifiers. These results are examined by sensitivity analysis, which shows the significance of selecting the suitable quantifier. It is also shown that the original Borda is a special case of the Borda-OWA approach, indicating only the neutral view for the director. Because of the uncertainty in selecting the quantifier, we have defined a new measure, which considers both the expected value and the variance of the combined goodness measure for each alternative. By using this measure, the Borda-OWA model will give more robust decision to the stakeholders whose optimism degrees are different than that of the group director.