This diploma thesis deals with the evaluation of offers with the usage of fuzzy logic. It describes methods and processes of a model building. The aim is to make a decision – making model that helps a customer to make decisions between more properties.

The thesis deals with the evaluation of investments in intangible fixed assets. The company VIKI, spol. s.r.o. is interested in a new storage space acquisition, and therefore the main objective is to choose the best offer by using fuzzy logic. Evaluation is done in Excel, particularly in the Visual Basic environment and in MATLAB. The output of the thesis is an easy to use form that can be reused for other possible offers.

This thesis is focused on the evaluation of the main suppliers of company MERTASTAV Ltd. and deals with the determination their risk level of cooperation. The aims of this thesis are design and create the model for effective evaluation of suppliers. During the creation of a mentioned model is used principles of fuzzy logics and the final model is processed in MS Excel and MATLAB. The result of this thesis is the clear instrument which is easy to use and also accelerates and improves selection of suppliers for the company.

This dissertation deals with the risks which are connected with selecting the suitable suppliers of computer components for the Weps s. r. o. company. The selection of the supplier is realized by the use of fuzzy logic. Theoretical bases are also described in this dissertation. Moreover, there is an analysis of the risks and a proposal for the solution to this problem in the Microsoft Excel and Matlab programmes. The result of the dissertation should provide an instrument for objective evaluation of the suppliers, which is the company in collaboration with.

This diploma thesis is focused on risk analysis of dry dog food range of products sold in a retail chain named Zvěrokruh. The main goal of this work is creation of model with use of the fuzzy logic. The model helps with the dry dog food range risk evaluation. The model is created in MS Excel and MATLAB. Outcome of this work is a tool which evaluate quality of the dry dog food, which can be afterwards analysed in other point of view.

In the Master’s thesis I am deal with the proposal of sophisticated method for suppliers rating. The thesis analyses the supply environment of business company and characterizes the problems related to suppliers rating and choosing. The object of my Master’s thesis is the elaboration of the models for suppliers rating on the basis of fuzzy logic. These models should successfully solve the questions of suppliers rating as suitable method for minimizing of risk of suppliers.

The diploma thesis deals with the design of models for evaluation of suppliers and their possible risks for a retail food business. Supplier risk is evaluated using fuzzy logic. Models are created in Microsoft Excel and MATLAB. At the beginning of the thesis is the problem defined in the theoretical framework, which is followed by the analytical and practical part of the thesis with proposals for solution of the problem.

Goal of this thesis is creation of Cheap, open and modular engine control unit for internal combustion engine driven by gaseous fuels. For this purpouse was implemented fuel mixing based on fuzzy logic, and proposed platform is optimized for low cost usage.

The thesis deals with optimization of the continuous slab casting process. The thesis summarizes the basic analytical and empirical findings concerning to the solidification process, the numerical modeling and the selected optimization techniques. Physical conditions and factors that affect the quality of steel including their relationships are also described. The basis of the solution strategy is the original numerical model of the temperature field in its off-line version. The numerical model was verified by the real historical data. The optimization part is based on the fuzzy logic implemented above the numerical model. The optimization algorithm is used for the optimal control of the casting process. The universal usage of the optimization model is demonstrated on several cases, e.g. the finding of optimal casting parameters that ensure the high quality of products, the optimal reactions on breakdown situations, the determination of an optimal relationship between casting parameters, etc. Based on optimization results, the suitable caster modification to increase the surface temperature at the unbending point was proposed. The whole concept of the numerical and optimization model is general and it can be applied to arbitrary slab or billet continuous casting.

The GUHA method is one of the oldest methods of exploratory data analysis, which is regarded as part of the data mining or knowledge discovery in databases (KDD) scienti_c area. Unlike many other methods of data mining, the GUHA method has firm theoretical foundations in logic and statistics. In scope of the method, finding interesting knowledge corresponds to finding special formulas in satisfactory rich logical calculus, which is called observational calculus. The main topic of the thesis is application of the "fuzzy paradigm" to the GUHA method By the term "fuzzy paradigm" we mean approaches that use many-valued membership degrees or truth values, namely fuzzy set theory and fuzzy logic. The thesis does not aim to cover all the aspects of this application, it emphasises mainly on: - Association rules as the most prevalent type of formulas mined by the GUHA method - Usage of fuzzy data - Logical aspects of fuzzy association rules mining - Comparison of the GUHA theory to the mainstream fuzzy association rules - Implementation of the theory using the bit string approach The thesis throughoutly elaborates the theory of fuzzy association rules, both using the theoretical apparatus of fuzzy set theory and fuzzy logic. Fuzzy set theory is used mainly to compare the GUHA method to existing mainstream approaches to formalize fuzzy association rules, which were studied in detail. Fuzzy logic is used to define novel class of logical calculi called logical calculi of fuzzy association rules (LCFAR) for logical representation of fuzzy association rules. The problem of existence of deduction rules in LCFAR is dealt in depth. Suitable part of the proposed theory is implemented in the Ferda system using the bit string approach. In the approach, characteristics of examined objects are represented as strings of bits, which in the crisp case enables efficient computation. In order to maintain this feature also in the fuzzy case, a profound low level testing of data structures and algoritms for fuzzy bit strings have been carried out as a part of the thesis.