Application solution to the stage of aggregation method for assessing the quality of service provided
Formed FAM4QS (Fuzzy Aggregation Method for Quality Service (software), FAM4QS), has been created with modification of LSP (Logical scoring of preferences) methods and SSSI (Six-Step Service Improvement method used LSP (Logical scoring of preferences) algorithms. This had imposed a need for the support of the appropriate software Given that FAM4QS is a new and unique approach to this issue, the proposed software provides unique computer support for this method. With the support of FAM4QS, it is possible for the decision-maker to better demonstrate its own subjective preferences in multi-criteria decision-making. An overview of a large number of results allows numerous analyzes of the application of this decision-making method, as well as an increase in the efficiency of the decision-making process itself. This makes it easier to analyze and consider their solutions, while at the same time it provides managers to use this method in deciding in easy way.
Dujmović J., (2018). Soft Computing Evaluation Logic: The LSP Decision Method and Its Applications. John Wiley & Sons, Inc., (Chapter 3).
Dujmović, J. J., & Nagashima, H. (2006). LSP method and its use for evaluation of Java IDEs. International journal of approximate reasoning, 41(1), 3-22.
Gajic G., (2013). Unapredenje upravljanja naftno-gasnim sistemima, Doktorska disertacija, Univerzitet u Novom Sadu Fakultet tehnickih nauka, Novi Sad
Graovac B., (2009). Elektronska identifikaciona dokumenta na bazi SMART kartica, Master rad, Univerzitet Singidunum, Beograd
Ilić, Đ., Andrejić, M., & Janošević, M. (2017). Attachment to improvement of communication and business in logistical operations of system. Vojno delo, 69(7), 424-436.
Klement E. P., Mesiar R., Pap E., (2000). Triangular Norms, Springer
Klir G. J., Yuan B., (1995). Fuzzy Sets and Fuzzy Logic: Theory and Applications, 1st edition, Prentice-Hall, Inc. Upper Saddle River, NJ, USA
Marković V., Maksimović R., (2012). A contribution to continual software service improvement based on the six-step service improvement method. International Journal of Software Engineering and Knowledge Engineering, 22(04), 549-569.
Oldcorn, R. (1998). Management, Hampshire: Macmillan Education Ltd.
Puška, L. A., Kozarević, S., Stević, Ž., & Stovrag, J. (2018). A new way of applying interval fuzzy logic in group decision making for supplier selection. Economic Computation & Economic Cybernetics Studies & Research, 52(2).
Sistem za učenje na daljinu, VIŠER, Proces odlučivanja, http://lectio.viser.edu.rs (Accessed 10 April 2019)
Stević, Ž., Vasiljević, M., Puška, A., Tanackov, I., Junevičius, R., & Vesković, S. (2019). Evaluation of suppliers under uncertainty: a multiphase approach based on fuzzy AHP and fuzzy EDAS. Transport, 34(1), 52-66.
Stević, Ž. (2017). Modeling performance of logistics subsystems using fuzzy approach. The International Journal of Transport & Logistics, 17(42), 30-39.
Stevic, Z., Vasiljevic, M., Zavadskas, E. K., Sremac, S., & Turskis, Z. (2018). Selection of carpenter manufacturer using fuzzy EDAS method. Eng. Econ, 29, 281-290.
Stević, Ž., Stjepanović, Ž., Božičković, Z., Das, D., & Stanujkić, D. (2018). Assessment of Conditions for Implementing Information Technology in a Warehouse System: A Novel Fuzzy PIPRECIA Method. Symmetry, 10(11), 586.
Tehnike donošenja odluka, https://www.link-elearning.com (Accessed 10 April 2019).
Tomašević M., (2017). Adaptivni model za upravljanje lancima snabdevanja u malim i srednjim preduzećima, Doktorska disertacija, Univerzitet u Novom Sadu Fakultet tehnickih nauka
Tomašević, M., Ralević, N., Stević, Ž., Marković, V., & Tešić, Z. (2018). Adaptive Fuzzy Model for Determining Quality Assessment Services in the Supply Chain. Tehnički vjesnik, 25(6), 1690-1698.