Application solution to the stage of aggregation method for assessing the quality of service provided

  • Milovan Tomašević Faculty of Information Studies in Novo Mesto, Slovenia
Keywords: FAM4QS, software quality, software services


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.


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Chatterjee, P., & Stević, Ž. (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 72-90.
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, (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, (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.
How to Cite
Tomašević, M. (2019). Application solution to the stage of aggregation method for assessing the quality of service provided. Operational Research in Engineering Sciences: Theory and Applications, 2(2), 86-100.