Weight generation class of aggregation OWA type operator in decision making intelligent system

Author: Tebrone Varshanidze
Co-authors: Archil Varshanidze, Natia Gadelia, Nikoloz Gochiashvili
Keywords: DSS- Decision support system
Annotation:

This master's thesis presents implementation of OWA based intelligent decision support system. System represents an expert system, where one and only source of data is expert knowledge. System uses algorithms of well-known specialists, including R.R.Yager, M.Merijio and others. Master's thesis can be reviewed in two main directions: 1. Weights generation takes the most important place in use of OWA type operators. There are discussed different approaches and algorithms of OWA weights generation, which have been developed last decades. 2. R.Yager developed orness-approach for identification and evaluation of the weights and implementation into system software environment. Therefore, non-linear mathematical programming problem is implemented which is the target function of entropy type.

Lecture files:

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