Weighted minimum and maximun operations in fuzzy sets theory
Information Sciences: an International Journal
Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
A Monte Carlo study of pairwise comparison
Information Processing Letters
OWA operators for doctoral student selection problem
The ordered weighted averaging operators
A formula for incorporating weights into scoring rules
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Aggregation operators for selection problems
Fuzzy Sets and Systems - Special issue: Soft decision analysis
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A fuzzy logic-based computational recognition-primed decision model
Information Sciences: an International Journal
Information Sciences: an International Journal
Combining weights into scores: a linear transform approach
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Combining information from multiple search engines-Preliminary comparison
Information Sciences: an International Journal
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)
Knowledge-Based Systems
A novel approach to probability distribution aggregation
Information Sciences: an International Journal
Environmental Modelling & Software
A method for evaluation of learning components
Automated Software Engineering
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In this work we introduce a decision model, in the form of a recursive aggregation algorithm, that attempts to mimic a multi-step ranking process of a set of alternatives in a multi-criteria and multi-expert decision making environment. The main idea is rather intuitive. Each alternative is initially assigned a list of values, representing the group experts' opinion about the extent to which the alternative satisfies a set of given criteria. Then the values for each alternative are combined with the weighted mean operator according to vectors of weights, one for each decision maker in the group. These weights express the personal judgement of the decision makers about the relative importance of the individual criteria. Consequently, a new vector of values is obtained for each alternative. These new values are combined again with the weighted mean operator taking into account the different degrees of influence each decision maker accepts from the rest of the group. The latter aggregation step is repeated again and again for each alternative until a consensus is attained.