Abstract
The recent advances in ICT and increased market competition make the problem of business decisions more significant and more complex. This is related to the performance evaluation of a variety of business decisions that have multi-level and multi-factor features. In this regard, the current article aims to propose a generalized flexible approach to support group decision making by using different strategies. The different decision-making strategies aim to provide the most preferable alternative; several good alternatives simultaneously, or ranking of all given alternatives. These different strategies are realized via corresponding optimization models that are capable to consider differences in the knowledge and expertise of the group experts. The contribution of the descried approach is focused on the aggregation stage of the known simple multi-attribute rating technique. The applicability of the proposed approach and formulated optimization models are demonstrated in the determination of preferable offer/s for printing a book considering several different evaluation parameters. The numerical results show that imposing requirements for different strategy realization it is quite helpful to get the group decision. Furthermore, the final group decision is modelled in such a way to reflect the particular background in expertise of each group’ member.
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References
Shalamanov, V.: Organizing for IT effectiveness, efficiency and cyber resilience in the academic sector: National and regional dimensions. Inf. Secur. Int. J. 42, 49–66 (2019)
Borissova, D., Mustakerov, I., Korsemov, D.: Business intelligence system via group decision making. Cybern. Inf. Technol. 16(3), 219–229 (2016)
Zaheer, H., Breyer, Y., Dumay, J.: Digital entrepreneurship: an interdisciplinary structured literature review and research agenda. Technol. Forecast. Soc. Change 148, 119735 (2019). https://doi.org/10.1016/j.techfore.2019.119735
Andreev, R., Borissova, D., Shikalanov, A., Yorgova, T.: Model-driven design of emedia: virtual technology transfer office. In: Lugmayr, A., Stojmenova, E., Stanoevska, K., Wellington, R. (eds.) Information Systems and Management in Media and Entertainment Industries. ISCEMT, pp. 279–298. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49407-4_14
Shalamanov, V.: Institution building for IT governance and management. Inf. Secur. Int. J. 38, 13–34 (2017)
Shalamanov, V.: Towards effective and efficient IT organizations with enhanced cyber resilience. Inf. Secur. Int. J. 38, 5–10 (2017)
Balabanov, T., Atanasova, T., Blagoev, I.: Activation function permutation for multilayer perceptron training. In: Proceedings of International Conference on Big Data, Knowledge and Control Systems Engineering, 21–22 November, Sofia, Bulgaria, pp. 9–14 (2018)
Wen-Qi, F., Mei, Z., Ling-Yan, Y.: Academic e-book publishing in china: an investigation of current status and publishers’ attitudes. J. Acad. Librariansh. 44, 15–24 (2018)
Roy, B.: Multicriteria Methodology for Decision Aiding. Springer, Boston (1996). https://doi.org/10.1007/978-1-4757-2500-1
Rao, R.V.: Introduction to multiple attribute decision-making (MADM) methods. In: Decision Making in the Manufacturing Environment, Springer Series in Advanced Manufacturing, pp. 27–41. Springer, London (2007). https://doi.org/10.1007/978-1-84628-819-7_3
Barfod, M.B., Leleur, S. (eds.) Multi-Criteria Decision Analysis for Use in Transport Decision Making. DTU Lyngby: Technical University of Denmark, Transport (2014)
Edwards, W.: How to use multiattribute utility measurement for social decision making. IEEE Trans. Syst. Man Cybern. 7(5), 326–340 (1977)
Korsemov, D., Borissova, D., Mustakerov, I.: Group decision making for selection of supplier under public procurement. In: Kalajdziski, S., Ackovska, N. (eds.) ICT Innovations 2018, Engineering and Life Sciences, ICT 2018, Communications in Computer and Information Science, vol. 940, pp. 51–58 (2018)
Borissova, D., Atanassova, Z.: Multi-criteria decision methodology for supplier selection in building industry. Int. J. 3-D Inf. Model. 7(4), 49–58 (2018)
Wetzstein, A., Hartmann, E., Benton Jr., W.C., Hohenstein, N.O.: A systematic assessment of supplier selection literature – state-of-the-art and future scope. Int. J. Prod. Econ. 182, 304–323 (2016)
Fu, Y.-K.: An integrated approach to catering supplier selection using AHP-ARAS-MCGP methodology. J. Air Transp. Manag. 75, 164–169 (2019)
Memari, A., Dargi, A., Jokar, M.R.A., Ahmad, R., Rahim, A.R.A.: Sustainable supplier selection: a multi-criteria intuitionistic fuzzy TOPSIS method. J. Manuf. Syst. 50, 9–24 (2019)
Borissova, D., Keremedchiev, D.: Group decision making in evaluation and ranking of students by extended simple multi-attribute rating technique. Cybern. Inf. Technol. 18(3), 45–56 (2019)
Korsemov, D., Borissova, D.: Modifications of simple additive weighting and weighted product models for group decision making. Adv. Model. Optim. 20(1), 101–112 (2018)
Borissova, D., Korsemov, D., Mustakerov, I.: Multi-attribute group decision making considering difference in experts knowledge: an excel application. In: Proceedings of 12th International Management Conference – Management Perspectives in the Digital Era, 1–2 November, Bucharest, Romania, pp. 387–395 (2018)
Borissova, D., Korsemov, D., Mustakerov, I.: Multi-criteria decision making problem for doing business: comparison between approaches of individual and group decision making. In: Saeed, K., Chaki, R., Janev, V. (eds.) CISIM 2019. LNCS, vol. 11703, pp. 385–396. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28957-7_32
Borissova, D.: A group decision making model considering experts competency: an Application in personnel selections. Comptes rendus de l’Academie Bulgare des Sciences 71(11), 1520–1527 (2018)
Huang, Y.S., Chang, W.C., Li, W.H., Lin, Z.L.: Aggregation of utility-based individual preferences for group decision-making. Eur. J. Oper. Res. 229, 462–469 (2013)
Peneva, V., Popchev, I.: Aggregation of fuzzy relations using weighting function. Comptes rendus de l’Academie bulgare des Sciences 60(10), 1047–1052 (2007)
Peneva, V., Popchev, I.: Models for fuzzy multicriteria decision making based on fuzzy relations. Comptes rendus de l’Academie bulgare des Sciences 62(5), 551–558 (2009)
Sgurev, V.: Decision Markov logic. Comptes rendus de l’Academie bulgare des Sciences 67(2), 181–188 (2014)
Buyukozkan, G.: Multi-criteria decision making for e-marketplace selection. Internet Research 14(2), 139–154 (2004)
Zhang, S., Zhu, J., Liu, X., Chen, Y.: Regret theory-based group decision-making with multidimensional preference and incomplete weight information. Inf. Fusion 31, 1–13 (2016)
Javier, F., Herrera-Viedma, C.E., Pedrycz, W.: A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. Eur. J. Oper. Res. 230(3), 624–633 (2013)
Yetton, P., Botter, P.: The relationships among group size, member ability, social decision schemes, and performance. Organ. Behav. Hum. Perform. 32, 145–159 (1983)
Mustakerov, I., Borissova, D.: A combinatorial optimization ranking algorithm for reasonable decision making. Comptes rendus de l’Academie bulgare des Sciences 66(1), 101–110 (2013)
Borissova, D.: Group decision making for selection of k-best alternatives. Comptes rendus de l’Academie bulgare des Sciences 69(2), 183–190 (2016)
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Borissova, D., Korsemov, D., Keremedchieva, N. (2020). Generalized Approach to Support Business Group Decision-Making by Using of Different Strategies. In: Saeed, K., DvorskĂ˝, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_11
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