Control Systems and Computers, N6, 2017, Article 6


Upr. sist. maš., 2017, Issue 6 (272), pp. 52-54.

UDC 004.9:004.75

Yuriy M. Lisetskiy – Dr. of Eng. Sci., DP «S&T UKRAINE», General Director. 03680, Kiev, Ukraine 44, Prospekt Akademika Palladina

Technology of Efficiency Comparison for Alternatives Estimation and Selection Methods

Introduction. During design and implementation of the complex systems arises  the task of the best variant selection among alternatives. There exist quite a number of estimation and selection methods to find solution to the task. They are based on convolution of indicators, introduction of metrics to the space, experts’ opinions and use different criteria thus producing different estimations and ranking of alternatives. 

Technology of the Methods Efficiency Comparison. To compare efficiency of different methods to estimate and choose among alternatives, there is proposed the technology the essence of which is finding the best method from the group based on criterion of the minimal average amount of variations to the ranking. The source data for the technology are alternative variants of the systems presented as the matrix of the alternative characteristic. There is executed proportional normalization of characteristics.

Then different methods of estimation and selection produce different rankings of alternatives. There is proposed to use the ratio of the number of nonidentical rankings of alternatives to the amount of rankings as the indicator reflecting distortion of estimations. The comparison in pairs results in the matrix of the distortion of the results of the alternatives rankings by different methods. The matrix is used to calculate the average distortion of the results among the methods.  The method with the lowest average amount of variations to the alternatives ranking is deemed effective. The offered technology offered can be algorithmized. The algorithm has been programmed in C++.

Conclusion. Thus, the technology as well as offered algorithm for its implementation has been developed to compare the efficiency of the different methods of comparison and selection among the alternatives. The experimental verification of the obtained results affirmed the efficiency of its practical application. Software implementation has been successfully tested.

Keywords: technology, algorithm, alternative, estimation and selection, criterion, effective method, ordering changes.

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Received 23.10.2017