Researching semistructured problems of multicriteria optimization using the software system
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Date
2020
Authors
Tryhub, Roman
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Abstract
Object of research is optimal decision support process for semistructured
(slightly formal) multicriteria optimization problems.
Subject of research is mathematical model and method for solving
semistructured problems of multicriteria optimization.
Goal of research is to develop the optimal decision support system for solving
semistructured problems of multicriteria optimization, which can be used by
individual or collegial body who take responsible decisions.
The next research problems are solved in this work:
1) to implement the process of solving the problem connected with finding an
alternative which has the best (in total) criteria values as a software system;
2) to develop and implement the algorithm, which generates recommendations
(“guidelines for actions”) for any of alternatives which lost so that the observance of them will guarantee the winning for this alternative.
To achieve the goal, following research methods are used in this work:
1) the analytic hierarchy process (hereinafter AHP) – to formalize
semistructured multicriteria optimization problem and to find an optimal
solution;
2) mathematical programming methods – to formulate recommendations
for alternatives which lost so that the observance of them will guarantee
the winning;
3) verification test – to debug the software system and to develop the userfriendly interface oriented toward non-professional users.
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Keywords
Analytic Hierarchy Process, multicriteria optimization, semistructured problems, master thesis