Fuzzy multi-criteria analysis of cutting techniques in a nuclear reactor dismantling project
Fuzzy Sets and Systems - Special issue on nuclear engineering
Faster random generation of linear extensions
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
On the existence and construction of T-transitive closures
Information Sciences: an International Journal
The concept of stability fields and hot spots in ranking of environmental chemicals
Environmental Modelling & Software
Generic integration of environmental decision support systems - state-of-the-art
Environmental Modelling & Software
Modelling life cycle and population dynamics of Nostocales (cyanobacteria)
Environmental Modelling & Software
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Typically a prioritization between collections of objects involves several parameters and requires thus the application of multicriteria methodologies. Partial order ranking offers a non-parametric method that neither includes any assumptions about linearity nor any assumptions about distribution properties. Accumulating partial order ranking (APOR) is a novel technique where data from a series of individual tests of various characteristics are aggregated, however, maintaining the basics of the partial order ranking methodology. APOR offers prioritization based on mutual probabilities derived from the aggregated data. Alternatively prioritization may be achieved based on averaged ranks derived from the APOR. The present study illustrates the application APOR by an assessment of a series of chemical substances.