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Evaluating the Validity of Multicriteria Decision-Making

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Cybernetics and Systems Analysis Aims and scope

Abstract

The paper provides an approach to the assessment of the validity of decisions made for complex systems using multicriteria methods. It is also proposed to evaluate the validity based on the relevant criterion, which involves not only assessment of the results obtained by the multicriteria methods but also preliminary stages related to preparation of the initial data.

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References

  1. M. R. Mahmoud and L. A. Garcia, “Comparison of different multicriteria evaluation methods for the Red Bluff diversion dam,” Environmental Modelling & Software, Vol. 15, Iss. 5, 471–478 (2000).

    Article  Google Scholar 

  2. E. A. Berzin, Optimal Resource Allocation and Elements of Systems Synthesis [in Russian], Sov. Radio, Moscow (1974).

    Google Scholar 

  3. I. S. Romanchenko, S. L. Borisyuk, and M. M. Potyomkin, Evolutionary Optimization Methods and their Use in Military Studies [in Ukrainian], PP Ruta, Zhytomyr (2015).

    Google Scholar 

  4. V. T. Busel (gen. ed.), A Big Explanatory Dictionary of Modern Ukrainian Language [in Ukrainian], VT Perun, Kyiv–Irpin’ (2003).

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

    Google Scholar 

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

    Google Scholar 

  7. M. Waldrop, “Toward a unified theory of cognition,” Science, Vol. 241, No. 27, 27–29 (1988).

    Article  Google Scholar 

  8. V. Plyuta, Comparative Multidimentional Analysis in Economic Studies: Methods of Taxonomy and Factor Analysis [in Russian], Statistika, Moscow (1980).

    Google Scholar 

  9. 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, No. 6 (4), 860–875 (2013).

  10. M. M. Potomkin, “Complex application of methods of multidimentional comparative analysis in decision-support systems,” in: Trans. Sci.-Pract. Conf. with International Participation “Decision Support Systems: Theory and Practice” (June 8, 2009), IMMS NASU, Kyiv (2009), pp. 43–46.

  11. P. Chatterjee and S. Chakraborty, “Flexible manufacturing system selection using preference ranking methods: A comparative study,” Intern. J. of Industrial Engineering Computations, No. 5, 315–338 (2014).

    Article  Google Scholar 

  12. S. Hajkowicz and A. Higgins, “A comparison of multiple criteria analysis techniques for water resource management,” Europ. J. of Operational Research, No. 184, 255–265 (2008).

    Article  Google Scholar 

  13. 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).

  14. 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 

  15. 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).

    Article  Google Scholar 

  16. L. F. A. M. Gomes, L. A. D. Rangel, and F. J. C. Maranhão, “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).

    Article  Google Scholar 

  17. 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 

  18. 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).

    Article  Google Scholar 

  19. 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  Google Scholar 

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

    Article  Google Scholar 

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Authors and Affiliations

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

    M. M. Potomkin

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  1. M. M. Potomkin
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Correspondence to M. M. Potomkin.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2018, pp. 89–95.

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Potomkin, M.M. Evaluating the Validity of Multicriteria Decision-Making. Cybern Syst Anal 54, 930–935 (2018). https://doi.org/10.1007/s10559-018-0095-z

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  • DOI: https://doi.org/10.1007/s10559-018-0095-z

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