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Approach to the Development, Improvement, and Modification of Multi-Criteria Decision-Making Methods

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Cybernetics and Systems Analysis Aims and scope

Abstract

The paper presents an approach to the development, improvement, and modification of multi-criteria methods that are used in the analysis of complex systems. This approach is based on the typical scheme of the multi-criteria decision-making method. Changes introduced to its stages allow the modification and improvement of the available methods, as well as development of new ones. The possibility of practical use of the proposed approach is illustrated by an example of the development of a new method whose efficiency is confirmed by respective calculations.

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References

  1. M. M. Potomkin, “Evaluating the validity of multicriteria decision-making,” Cybern. Syst. Analysis, Vol. 54, No. 6, 930–935 (2018).

    Article  MathSciNet  Google Scholar 

  2. N. V. Semenova, L. N. Kolechkina, and A. N. Nagorna, “An approach to solving discrete vector optimization problems over a combinatorial set of permutations,” Cybern. Syst. Analysis, Vol. 44, No. 3, 441–451 (2008).

    Article  MATH  Google Scholar 

  3. N. V. Semenova and L. N. Kolechkina, “A polyhedral approach to solving multicriterion combinatorial optimizazion problems over sets of polyarrangements,” Cybern. Syst. Analysis, Vol. 45, No. 3, 438–445 (2009).

    Article  MATH  Google Scholar 

  4. A. Z. Sarraf, A. Mohaghar, and H. Bazargani, “Developing TOPSIS method using statistical normalization for selecting knowledge management strategies,” J. of Industrial Engineering and Management, Vol. 6, No. 4, 860–875 (2013).

    Google Scholar 

  5. O. I. Larichev, The Theory and Methods of Decision-Making, as well as Chronicles of Events in Magic Countries [in Russian], Logos, Moscow (2000).

    Google Scholar 

  6. F. S. Novik and Ya. B. Arsov, Optimization of Metal Technology Processes by the Methods of Design of Experiments [in Russian], Mashynostroenie, Moscow; Tekhnika, Sofia (1980).

  7. O. M. Zagorka, S. P. Mosov, A. I. Sbitnev, and P. I. Stuzhuk, Elements of the Analysis of Complex Military-Oriented Systems [in Ukrainian], NAOU, Kyiv (2005).

    Google Scholar 

  8. P. Chatterjee and S. Chakraborty, “Flexible manufacturing system selection using preference ranking methods: A comparative study,” Intern. J. of Industrial Engineering Computations, Vol. 5, Iss. 2, 315–338 (2014).

  9. S. Hajkowicz and A. Higgins, “A comparison of multiple criteria analysis techniques for water resource management,” Europ. J. of Operational Research, Vol. 184, Iss. 1, 255–265 (2008).

  10. W. Deni, O. Sudana, and A. Sasmita, “Analysis and implementation fuzzy multi-attribute decision making SAW method for selection of high achieving students in faculty level,” Intern. J. of Computer Science Issues, Vol. 10, Iss. 1, No. 2, 674–680 (2013).

  11. M. Madić, V. Gecevska, M. Radovanović, and D. Petković, “Multi-criteria economic analysis of machining processes using the WASPAS method,” J. of Production Engineering, Vol. 17, No. 2, 79–82 (2014).

    Google Scholar 

  12. G. Anand and R. Kodali, “Selection of lean manufacturing systems using the PROMETHEE,” J. of Modelling in Management. Vol. 3, Iss. 1, 40–70 (2008).

  13. L. F. A. M. Gomes, L. A. D. Rangel, and F. J. C. Maranhãoc, “Multicriteria analysis of natural gas destination in Brazil: An application of the TODIM method,” Mathematical and Computer Modelling, Vol. 50, Iss. 1–2, 92–100 (2009).

  14. M. F. El-Santawy, “A VIKOR method for solving personnel training selection problem,” Intern. J. of Computing Science, Vol. 1, No. 2, 9–12 (2012).

    Google Scholar 

  15. W. K. Brauers and E. K. Zavadskas, “Robustness of the multi-objective MOORA method with a test for the facilities sector,” Technological and Economic Development of Economy,” Vol. 15, Iss. 2, 352–375 (2009).

  16. T. Poklepović and Z. Babić, “Stock selection using a hybrid MCDM approach,” Croatian Operational Research Review, Vol. 5, No. 2, 273–290 (2014).

    Article  MathSciNet  MATH  Google Scholar 

  17. M. Madić, D. Petković, and M. Radovanović, “Selection of non-conventional machining processes using the OCRA method,” Serbian J. of Management,” Vol. 10, No. 1, 61–73 (2015).

    Article  Google Scholar 

  18. P. Chatterjee and S. Chakraborty, “Gear material selection using complex proportional assessment and additive ratio assessment-based approaches: A comparative study,” Intern. J. of Materials Science and Engineering, Vol. 1, No. 2, 104–111 (2013).

    Article  Google Scholar 

  19. D. Petković, M. Madić, and G. Radenković, “Selection of the most suitable non-conventional machining processes for ceramics machining by using Mcdms,” Science of Sintering, Vol. 47, No. 2, 229–235 (2015).

    Article  Google Scholar 

  20. S. L. Blyumin and I. A. Shuikova, Models and Methods of Decision-Making Under Uncertainty [in Russian], LEGI, Lipetsk (2001).

    Google Scholar 

  21. S. A. Us, Methods of Decision-Making [in Russian], National Mining University, Dnepropetrovsk (2012).

    Google Scholar 

  22. H. Sen and M.F. Demiral, “Hospital location selection with grey system theory,” Europ. J. of Economics and Business Studies, Vol. 2, Iss. 2, 66–79 (2016).

  23. I. Ertugrul, T. Oztas, A. Ozcil, and G. Z. Oztas, “Grey relational analysis approach in academic performance comparison of university: A case study of Turkish universities,” Europ. Scientific J., Spec. Ed., June, 128–139 (2016).

  24. F. Ecer and A. Boyukaslan, “Measuring performances of football clubs using financial ratios: The gray relational analysis approach,” American J. of Economics. Vol. 4, No. 1, 62–71 (2014).

    Google Scholar 

  25. R. A. Krohling and T. T. M. De Souza, “F-TODIM: An application of the fuzzy TODIM method to rental evaluation of residential properties,” in: Simposio Barsileiro de Pesquisa Operacional, September 24–28, 2012, Rio de Janeiro, Brazil (2012), pp. 431–443.

  26. M. Sevkli, “An application of the fuzzy ELECTRE method for supplier selection,” Intern. J. of Production Research, Vol. 48, Iss. 12, 3393–3405 (2010).

  27. C.-C. Lo, D.-Y. Chen, C.-F. Tsai, and K.-M. Chao, “Service selection based on fuzzy TOPSIS method,” in: 24th IEEE Intern. Conf. on Advanced Information Networking and Applications Workshops, April 20–13, 2010, Perth, Australia (2010), pp.367–372.

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Authors and Affiliations

  1. Central Scientific and Research Institute of Military Forces of Ukraine, Kyiv, Ukraine

    M. M. Potomkin

  2. Ministry of Defence of Ukraine, Kyiv, Ukraine

    O. V. Dublian & R. B. Khomchak

Authors
  1. M. M. Potomkin
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  2. O. V. Dublian
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  3. R. B. Khomchak
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Correspondence to M. M. Potomkin.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2019, pp. 99–109.

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Potomkin, M.M., Dublian, O.V. & Khomchak, R.B. Approach to the Development, Improvement, and Modification of Multi-Criteria Decision-Making Methods. Cybern Syst Anal 55, 967–977 (2019). https://doi.org/10.1007/s10559-019-00207-7

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  • DOI: https://doi.org/10.1007/s10559-019-00207-7

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