METHOD OF MISSED ANSWERS PROCESSING IN RESULTS OF EXPERT EVALUATION

Authors

  • Boldak Andriy National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Lysenko Dmytro National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Khanin Maxim National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

The article proposes a new method of processing gaps in the results of expert surveys, which minimizes the loss of the sample volume while maintaining the accuracy of expert assessments. The software implementation of the proposed method is used in the expert survey system developed on a distributed data processing platform.
Keywords: expert survey, gap filling, sample size, software, distributed data processing.

Published

2023-11-08

Issue

2018

Section

Machine learning, Big Data