MODELS FOR CALCULATING WEIGHTS FOR ESTIMATION INNOVATIVE TECHNICAL OBJECTS
DOI:
https://doi.org/10.15588/1607-3274-2020-3-17Keywords:
Іnnovative high-tech object, a model for weight correction, an extended summary table, a vector of correction coefficients, and a method for analyzing hierarchies.Abstract
Relevance. The relevance of the work is associated with a multi-criteria comparison of innovative objects, which are understood as objects with partially identical individual indicators that have uncertain, subjective values and criteria for their evaluation. Compared innovation objects are described by General and individual indicators, and the number of individual indicators is significant (more than 50%). The hierarchy analysis method is the most suitable mathematical tool for comparing innovative objects, since it combines visual description of the subject area, numerical performance, and natural accounting for the variability of the initial pair estimates. However, this method does not take into account the individual indicators of innovative objects when compiling matrices of paired comparisons, which does not allow you to get the final weights corresponding to the individual characteristics of innovative objects.
Object. Development of a modified hierarchy analysis method that provides ranking of innovative objects with partially identical individual indicators.
Method. In this work, a modified method of analysis of hierarchies, comprising a typical sequence of stages from building a hierarchy of the subject area and the establishment of criteria for evaluation of innovative objects to the stage computing the final weights of innovative objects, a first introduction on the stage of building a hierarchy of the weights matrix shared and individual performance in the system of objects, and secondly by calculating correction factors based on local or global models of correction of weights of parameters of systems of objects at the stage of preparation of the consolidated table of weights, thirdly the computation of the final weights of innovative features based on a correction factor that took into account individual features compare innovative.
Results. The paper considers innovative objects with General and individual indicators in the ratio of 1:2 with the number of comparison criteria equal to 5, which corresponds to the class of objects of average organizational complexity. The objects being compared contain a typical object (the number of individual indicators is significantly less than 50%), a clearly innovative object (the number of individual indicators is more than 50%), and an object in the border zone (the number of individual indicators is about 50%). The classical method is not sensitive to the individual characteristics of innovative objects, which determined the minimum weight for a clearly innovative object. The modified method, on the contrary, determined the minimum weight for the object in the border zone, since it has both reduced values in the matrix of paired comparisons by criteria and low values of individual indicators.
Conclusions. The developed modified method of hierarchy analysis and correction models in its composition objectively reflect the order of ranking of objects, taking into account their description in the form of a matrix of General and individual indicators. According to the modeling, the share of individual indicators in their total number of more than 55% should be considered valuable for decision-making practice. In this case, it is preferable to evaluate objects based on a modified hierarchy analysis method. The vector of correction coefficients obtained on the basis of the weight correction model has an independent value in solving various computational and analytical problems and applied decision-making problems.
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