Decision making is an inherent part of human life. Every day we decide on little things, but also some more complex problems may appear. In such cases, we need to choose a more complex process leading to the final decision. To do so, many multiple-criteria decision-making methods can be used. These methods will be explored in this thesis. They will be used to select accident insurance according to the preferences and requirements of several respondents. Accident insurance protects the insured person against the impairment of their life caused by the consequences of their injury. Accident insurance is a commitment for many years, so its choice needs close attention. The choice of the insurance can be assessed based on of several criteria. Designing a model of multi-criteria decision-making strategy was the main goal of this diploma thesis. The thesis is divided into two parts - the theoretical and practical part. Theoretical part defines the concepts of decision making, multi-criteria decision making and its methods using specialized literature. It also defines the concept of insurance and its specifics relating to accident insurance. The practical part focuses on the specific solution of the given problem. The first step was a survey of offers of insurance companies operating on the Czech market that have separate accident insurance in their product portfolio. Based on these offers, decision variants have been created. The second step was to determine the five criteria on whose basis the variants were evaluated. After the general procedure has been established, the model has been applied. The proposed procedure was tried on a group of respondents to select the best offer for them. The target group, for which the procedure was designed, was set for people between the ages of 40 and 50 who do not have a risky job and do not engage in any hazardous leisure activities. Their preferences were determined by a questionnaire, based on which the decision matrices and weightings of the individual criteria were compiled. The optimal option was recommended to respondents.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:394684 |
| Date | January 2019 |
| Creators | ROUHOVÁ, Eliška |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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