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Processes Supporting Decision-Making
Križan, Viliam ; Uher, Václav (referee) ; Karásek, Jan (advisor)
This thesis deals with algorithms for supporting decision processes. Firstly, Analytic Hierachy Process (AHP) and Analytic Network Process (ANP) developed by prof. Thomas L. Saaty are described. Basic principles and the implementation in Java programing language of the decision processes are explained. Both processes are then analyzed and their pros and cons and also practical aspect are explained. Secondly, the genetic algorithm NSGA-II developed by Kalyanmoy Deb is described. There are also basic principles and implementation in Java programing language explained. There are finaly the results of NSAG-II algorithm presented.
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The Application of Evaluation Algorithm for the Rating of Suppliers of the Firm
Karásek, Jan ; Burget, Radim (referee) ; Dostál, Petr (advisor)
The aim of this diploma thesis is refer to the supplier evaluation and selection process in business sphere. On the business sphere is putted emphasis because securing of company sources are more and more important parts of strategic decision making. In this paper is analyzed supplier selection problem and are analyzed most common methods to determine the best supplier. The goal of this paper is proposal of own program solution of evaluation and supplier selection build on evolution methods, specifically evolution algorithms. The part of this thesis is map of theoretical possibilities of evolution algorithms and implementation of program for solving supplier selection problem.
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DEMATEL method and its utilization in multi-criteria decision making
Navrátil, Michal ; Jablonský, Josef (advisor) ; Fiala, Petr (referee)
This thesis is concerned with problematics of multi-criteria decision making, especially method DEMATEL, its modifications and combinations with another methods. There is description of particular steps of this methods and selected theory from various areas, which is used in these methods. In every chapter we can find theoretical explanation of these methods, description of their steps and afterwards these theoretical findings are applied on numerical example. Firstly, the crucial method is introduced. Then this thesis is concerned with its adjustments based, on different approaches, which are often used not only in decision making. In the end, all these findings are aggregated and new method is founded.
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Processes Supporting Decision-Making
Križan, Viliam ; Uher, Václav (referee) ; Karásek, Jan (advisor)
This thesis deals with algorithms for supporting decision processes. Firstly, Analytic Hierachy Process (AHP) and Analytic Network Process (ANP) developed by prof. Thomas L. Saaty are described. Basic principles and the implementation in Java programing language of the decision processes are explained. Both processes are then analyzed and their pros and cons and also practical aspect are explained. Secondly, the genetic algorithm NSGA-II developed by Kalyanmoy Deb is described. There are also basic principles and implementation in Java programing language explained. There are finaly the results of NSAG-II algorithm presented.
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The Application of Evaluation Algorithm for the Rating of Suppliers of the Firm
Karásek, Jan ; Burget, Radim (referee) ; Dostál, Petr (advisor)
The aim of this diploma thesis is refer to the supplier evaluation and selection process in business sphere. On the business sphere is putted emphasis because securing of company sources are more and more important parts of strategic decision making. In this paper is analyzed supplier selection problem and are analyzed most common methods to determine the best supplier. The goal of this paper is proposal of own program solution of evaluation and supplier selection build on evolution methods, specifically evolution algorithms. The part of this thesis is map of theoretical possibilities of evolution algorithms and implementation of program for solving supplier selection problem.
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Analytic Network Process Method
Lesák, Petr ; Kalčevová, Jana (advisor) ; Černohous, Roman (referee)
The thesis is concerned with Multi-Criteria Decision Making, in particular the Analytic Network Process method. The introductory part is dedicated to compile all the theory necessary to understand the method and utilized throughout the paper. The Analytic Hierarchy Process method is described and later generalized in the form of the ANP. Part of the paper is a description of available software products that are able to solve the ANP models. The main focus is on the application of the method, the usability and efficiency of possible use in macroeconomics is tested. In the third chapter a macroeconomic forecasting model is developed in cooperation with experts. The results of this model are compared with the best available up-to-date forecasts by local and international institutions.
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Cyclic and acyclic phosphonate tyrosine ester prodrugs of acyclic nucleoside phosphonates
Williams, M. ; Krylov, I. S. ; Zakharova, V. M. ; Serpi, M. ; Peterson, L. W. ; Krečmerová, Marcela ; Kashemirov, B. A. ; McKenna, Ch. E.
A series of P-O ester derivatives of HPMPA, HPMPC, PMEA a (R)-PMPDAP was synthesized as potential anti-malarial prodrugs.
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