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Incomplete Criteria and Variant Preference Data Consideration in Multiple Criteria Evaluation Problem

Student: Andronov Oleg

Supervisor: Dmitry E. Shaposhnikov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Business Informatics (Master)

Year of Graduation: 2019

Master's thesis: "Incomplete Criteria and Variant Preference Data Consideration in Multiple Criteria Evaluation Problem". Author: Andronov Oleg Alexeevich, 17МАГБИ group. The paper consists of introduction, 5 main chapters, conclusion and a list of references. Introduction gives a historical view on multi-criteria decision cases, more strict problem description, explanation of its relevance, hypothesis, goals, tasks and methods used to complete them. First chapter contains detailed description of result's possible business applications, method's practical advantages and key features. Second one covers terms, concepts and theoretical transitions needed to interpret some mathematical points of the research. Third chapter describes existing methods of multi-criteria decision making and a reason for base algorythm choice. Fourth one depicts modifications made to the method, short description of used mathematics and an example of final approach application. Fifth chapter demonstrates the process of programming prototype implementation with requirements formulation, key coding issues and final experiments. Finally, the conclusion is given, containing results' interpretation, method usage recommendations and commercialization approach. The paper includes 9 pictures and 14 tables. Total volume is 67 pages. 41 sources were used for the study.

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