Visualization of T. Saati Hierarchy Analysis Method

Autor: Nikolay Matrosov, Kovtun Dmitriy, Elena Matrosova, Anna Tikhomirova
Rok vydání: 2020
Předmět:
Zdroj: Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 ISBN: 9783030655952
DOI: 10.1007/978-3-030-65596-9_32
Popis: The article is devoted to the problem of expert assessment visualization of the comparative importance of various indicators. T. Saati hierarchy analysis method, which allows us to obtain indicators’ weight coefficients by paired comparisons of them, is considered. A method for increasing the accuracy of estimates formed by an expert is proposed. The increase in accuracy is achieved by instantly visualizing the results of the comparisons for their prompt adjustment by an expert.
Databáze: OpenAIRE