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EN
In most of multicriteria aggregation methods, we need to elicit parameters that are generally determined directly by the decision-maker (DM). Direct assigning of parameters and criteria weights presents a crucial and difficult step in the decision-making process. However, this kind of information is too subjective and may affects the reliability of the results. To overcome this issue, we suggest a weighting method based on mathematical programming to incorporate the DM’s preferences indirectly within the ARAS method.
EN
An ability to generate consistent results is the most critical operational feature of every method. The objective of the present paper was to demonstrate the results of the study conducted within the Ministry of Science and Higher Education Grant NN111345138 (Methodology of multicriteria comparative analysis of elements), regarding the relationship between the level of inconsistency of the AHP results, measured by Consistency Ratio (CR), and number of the compared criteria. Experiment involved analysis of 3-8 characteristics of selected objects (laptop, printer, public transport, mobile phone, flat and food store). The results showed that the analysis of as few as 3 characteristics resulted in a very high fraction of inconsistent opinions (more than 50%). In case of 6,7 and 8 characteristics this fraction exceeded 80%.
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