Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Fuzzy weighted average: an improved algorithm
Fuzzy Sets and Systems
Fuzzy weighted average: The linear programming approach via charnes and cooper's rule
Fuzzy Sets and Systems
Fractional programming approach to fuzzy weighted average
Fuzzy Sets and Systems
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
A new method for solving interval and fuzzy equations: Linear case
Information Sciences: an International Journal
Fuzzy least-squares priority method in the analytic hierarchy process
Fuzzy Sets and Systems
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
Fuzzy solution of interval linear equations
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
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A new method for normalization of interval weights based on the so-called "interval extended zero" method is proposed. The three desirable intuitively obvious properties of normalization procedure are defined. The main of them is based on the assumption that the sum of normalized interval weights should be an interval centered around 1 with a minimal width. The advantages of a new method are illustrated with use of six numerical examples. It is shown that a new method performs better than known methods for normalization of interval weights as it provides the results with the properties which are close to the desirable ones.