Software Selection by Using the Takagi-Sugeno Algorithm on the Example of Project Management Systems
This article analyzes the current approaches to selecting software and the expediency of applying the algorithm of fuzzy Takagi-Sugeno output for software selection. The main stages of fuzzy inference using the Takagi-Sugeno algorithm have been described, along with a variant modification of the algorithm used to select the software project management systems (PMS). A rule base for the fuzzy inference algorithm using fuzzy membership function for all key indicators has been established, with numerical examples of comparison provided (Spider Project and Oracle Primavera project management systems). In addition, this article describes the main characteristics of the indicators of project management systems and selected indicators for evaluation experts.