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We propose a ranking method for fuzzy numbers.
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Mitchell [11] proposed a ranking method to order triangular intuitionistic fuzzy numbers (TIFNs) by accepting a statistical viewpoint and interpreting each IFN as ensemble of ordinary fuzzy numbers.
Sexton et al. (1986) investigated a ranking method for DMUs based on a cross-efficiency ratio matrix.
Grzegorzewski [7, 8] treated IFNs as two families of metrics and developed a ranking method for IFNs.
The objective of this paper is to propose a new ranking method for large-scale Go players by means of incomplete fuzzy pair-wise comparison matrix whose priority vector is derived using a cosine similarity measure.
This paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of fuzzy numbers and a weighting function.
In [10] the authors propose a ranking function for the MEDLINE citations.
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Vincent and Luu in [22] proposed improve their ranking method for fuzzy numbers with integral values.
We also proposed a ranking aggregation method called KM to combine the results from OR and HB.
(2004) propose a new ranking method using super-efficiency technique and (l_1 -norm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com