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Adaptive fuzzy model for determination of quality assessment services in supply chain. 2018 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10779 https://www.researchgate.net/publication/322266423_Adaptive_fuzzy_model_for_determination_of_quality_assessment_services_in_supply_chain V. Marković M. Tomasevic R. Nenad Z. Stevic Z. Tesic The problem that is being addressed in this paper is to improve the services provided by company and achieve better communication among companies in the supply chain. Therefore, a qualitative assessment of the service has been required. This service is characterized by a group of parameters, which are often inaccurately estimated values as well as its importance for the evaluation system. This is often the result of assessor´s uncertainty, variability of conditions, etc. Therefore, in the context of AM4SCM (Adaptive Model for Supply Chain Management) a mathematical model for evaluating the quality of services has been developed (FAM4QS - Fuzzy Aggregation Method for Quality Service) which is based on the fuzzy arithmetic. By selecting different values for the degrees of fuzzy power mean, which are used for evaluation of parameters or groups of parameters of the system and the service also, contribute to a better assessment and it is due to the varying nature of the parameters. The observed model was simulated on 17 supply chains on the territory of the Republic of Serbia. Service quality assessment is carried out on the basis of data from the user requirements - participants of supply chains binding the so-called fuzzy aggregation function. article 10.17559/TV-20170705130711 25 6 1330-3651 Technical Gazette