METHOD FOR WEIGHTS CALCULATION BASED ON INTERVAL MULTIPLICATIVE PAIRWISE COMPARISON MATRIX IN DECISIONMAKING MODELS
نویسندگان
چکیده
Context. The pairwise comparison method is a component of several decision support methodologies such as the analytic hierarchy and network processes (AHP, ANP), PROMETHEE, TOPSIS other. This results in weight vector elements decision-making model based on inversely symmetrical matrices. evaluation carried out mainly by experts under conditions uncertainty. Therefore, modifications this have been explored recent years, which are fuzzy interval matrices (IPCMs).
 Objective. purpose work to develop modified for calculation crisp weights consistent inconsistent multiplicative IPCMs model.
 Method. proposed IPCMs, preference programming more reliable with other known methods. differences between ones follows: coefficients that characterize extended intervals ratios introduced; membership functions relations proposed, depend values IPCM elements. introduction these made it possible prove statement about required coincidence calculated “upper” “lower” models. introduced can be further used find most elements.
 Results. Experiments were performed different consistency level. basis considered weakly obtained using methods determined same rankings compared objects. do not contradict types Rankings highly much closer corresponding initial undisturbed FPP method. found.
 Conclusions. developed has shown its efficiency, wide range problems, scenario analysis, priority calculation, resource allocation, alternatives criteria various application areas.
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ژورنال
عنوان ژورنال: Radio Electronics, Computer Science, Control
سال: 2022
ISSN: ['2313-688X', '1607-3274']
DOI: https://doi.org/10.15588/1607-3274-2022-3-15