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
A new method for solving interval and fuzzy equations: Linear case
Information Sciences: an International Journal
Note on “On the normalization of interval and fuzzy weights”
Fuzzy Sets and Systems
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
The role of fuzzy sets in decision sciences: Old techniques and new directions
Fuzzy Sets and Systems
Group decision making with multi-attribute interval data
Information Fusion
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A new approach to normalization of interval and fuzzy weights based on the so-called ''interval extended zero'' method is proposed. The three desirable intuitively obvious properties of the normalization procedure are defined. The main of them is based on the assumption that the sum of normalized interval or fuzzy weights should be an interval or a fuzzy value centered around 1 with a minimal width. The advantages of a new approach are illustrated with the use of numerical examples. It is shown that a new approach performs better than known methods for normalization of interval and fuzzy weights as it provides the results with the properties which are close to the desirable ones.