Fuzzy TOPSIS approach and software development for fuzzy intuitionistic multicriteria decision making model

Author: Irina Kazariani
Co-authors: Teona Qujoshvili, Sopiko Kobulashvili
Keywords: TOPSIS, Intuitionistic fuzzy set
Annotation:

The diploma work is provided by the intelligent multi-criteria decision making supporting system based on expert knowledge. The data in the system is the expert nature and the source of the information is the expert and its knowledge. The number of tasks of multi-criteria decision making (MCDM) are increasingly increasing over time, which is due to the great demand on such systems in practice. For the purpose of solution of the set tasks, multi-criteria method - TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is used, which is quite effective with the theory-practice of fuzzy decision making. This approach was first realized by Hwang and Yoon in 1981. The multi-criteria fuzzy intuitionistic decision making model is developed in the diploma work. Three different methods have been used to get the weight of criteria. Specific procedures of their calculation are given. The work can be considered in the following main directions: 1. Studing Fuzzy-TOPSIS methodology and understanding the stages of problem solving for fuzzy-intuitionistic arguments. 2. Realization of decision making model for three different methods of receiving weights. 3. Demonstrate the work of the Fuzzy TOPSIS method based on private examples.

Lecture files:

ფაზი-TOPSIS მიდგომა და პროგრამული უზრუნველყოფის განვითარება მრავალკრიტერიალური ფაზი-ინტუიციონისტური გადაწყვეტილების მიღების მოდელისთვის [ka]
ფაზი-TOPSIS მიდგომა და პროგრამული უზრუნველყოფის განვითარება მრავალკრიტერიალური ფაზი-ინტუიციონისტური გადაწყვეტილების მიღების მოდელისთვის [ka]