A GP-AHP Method for solving group decision-making fuzzy AHP Problems
Computers and Operations Research
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
Group prioritization in the AHP by fuzzy preference programming method
Computers and Operations Research
Computers and Operations Research
Interval probabilities of state transitions in probabilistic automata
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Parallel quantum algorithm for finding the consistency of saaty's matrices
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
Hi-index | 0.00 |
Groups of decision makers form judgments of given objects, using sets of inconsistent data. This issue was described in many papers and the practical usage was presented by Saaty in his method of relative judgments. Typically only some attributes are chosen for judging. Judgments are relative, usually scaled or normalized. In this paper we try to aggregate the given judgments and make them consistent. We allocate a single elements of the Saaty's matrix (vectors or rows) for each decision maker. We need to remember that consistency of group decision making can be achieved in many ways and that it concerns different structural level of judgments.