0546030 20220320214358.020210930235959.9 10.46354/i3m.2021.mas.020 8 s. P cav_un_epca*0546029978-88-85741-61-42724-0037162-169JanovI3M2021BruzzoneA. G.De FeliceF.MasseiM.SolisA. Decision Support Systems Risk Management and Control Analytic Hierarchy Process cav_un_auth*0398866 Carpitella Silvia UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR IT 25 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0234872 Pištěk Miroslav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory CZ 25 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0382032 Inuiguchi M. JP cav_un_auth*0216188 Kratochvíl Václav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory CZ 25 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/MTR/carpitella-0546030.pdf GA19-06569S GA ČR CZ cav_un_auth*0380559 As top managers have to lead decision-making processes every day, they use a various palette of supporting tools, often without the knowledge of their theoretical backgrounds. Nevertheless, especially when dealing with judgements provided by experts, some theoretical assumptions have to be fulfilled. One of them is transitivity, an intuitively appealing property that is usually taken for granted. When incorporated in the decision-making process, intransitivity of judgements or preferences can lead to unwanted consequences and the results of decision-supporting tools can be misleading. It seems that such an issue is not often addressed in industrial control problems involving manufacturing industries. To this end, we offer a simple and efficient method to deal with intransitive preferences in this research domain. To illustrate the applicability of this general mathematical method, we use it to support the risk management process in the food industry. The obtained results provide meaningful managerial implications. cav_un_auth*0414554 International Conference on Modeling & Applied Simulation 2021 /20./ 20210915 20210917 Janov (on-line) IT BB 10000 10100 10102 2022 4 PR RVO:67985556 http://hdl.handle.net/11104/0323621 S 2021 SCOPUS PUBMED WOS cav_un_epca*0546029 Proceedings of the 20th International Conference on Modeling & Applied Simulation (MAS 2021) I3M 2021 Janov 162 169 978-88-85741-61-4 2724-0037 Bruzzone A. G. 340 De Felice F. 340 Massei M. 340 Solis A. 340