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An Overview of Multi-criteria Decision Making Models and Software Systems

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Research in Computer Science in the Bulgarian Academy of Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 934))

Abstract

The article describes an overview of proposed multi-criteria decision making models and their applications. Several research directions are discussed including multi-criteria models with a priori and exact articulation of DM preferences; models with fuzzy preferences; models with interactive participation of DM; models based on bi-level optimization, group decision making models and software systems for decision making. This overview concerns the latest achievements in multi-criteria decision making of the scientists from Bulgarian Academy of Sciences.

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References

  1. 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, Kh., Chaki, R., Janev, V. (eds.) Computer Information Systems and Industrial Management. LNCS, vol. 11703, pp. 385–396. Springer (2019)

    Google Scholar 

  2. Borissova, D., Mustakerov, I., Korsemov, D.: Business intelligence system via group decision making. Cybern. Inf. Technol. 16(3), 219–229 (2016)

    Google Scholar 

  3. Mustakerov, I., Borissova, D.: Technical systems design by combinatorial optimization choice of elements on the example of night vision devices design. Comptes Rendus de l’Academie Bulgare des Sciences 60(4), 373–380 (2007)

    Google Scholar 

  4. Borissova, D., Mustakerov, I.: K-best night vision devices by multi-criteria mixed-integer optimization modeling. Int. J. Inf. Sci. Eng. 7(10), 205–210 (2013)

    Google Scholar 

  5. Mustakerov, I., Borissova, D., Bantutov, E.: Multiple-choice decision making by multicriteria combinatorial optimization. Int. J. Adv. Model. Optim. 14(3), 729–737 (2012)

    MathSciNet  MATH  Google Scholar 

  6. Mustakerov, I., Borissova, D.: Modular systems design via multi-objective optimization. Int. J. Adv. Model. Optim. 15(2), 421–430 (2013)

    MATH  Google Scholar 

  7. Borissova, D.: Night Vision Devices—Modeling and Optimal Design. Prof. M. Drinov Publishing House of Bulgarian Academy of Sciences, Sofia (2015)

    Google Scholar 

  8. Borissova, D., Mustakerov, I.: A generalized optimization method for night vision devices design considering stochastic external surveillance conditions. Appl. Math. Model. 33(11), 4078–4085 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Borissova, D., Mustakerov, I.: A multicriteria approach to exploring combinations of external surveillance conditions defining a given NVD working range value. Cybern. Inf. Technol. 9(4), 102–109 (2009)

    Google Scholar 

  10. Borissova, D.: Using weighted sum method for the choice of the night vision goggles battery power supply. Eng. Sci. 1, 16–26 (2007)

    Google Scholar 

  11. 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)

    MATH  Google Scholar 

  12. Mustakerov, I., Borissova, D.: Multi-criteria model for optimal number and placement of sensors for structural health monitoring: lexicographic method implementation. Int. J. Adv. Model. Optim. 16(1), 103–112 (2014)

    Google Scholar 

  13. Borissova, D., Mustakerov, I.: A two-stage placement algorithm with multi-objective optimization and group decision making. Cybern. Inf. Technol. 17(1), 87–103 (2017)

    MathSciNet  Google Scholar 

  14. Djelatova, M.: A lexicographic algorithm solving a problem of a multiobjective flow in a network. Probl. Eng. Cybern. Robot. 51, 85–89 (2001)

    MathSciNet  Google Scholar 

  15. Peneva, V., Popchev, I.: Fuzzy multicriteria decision-making. Cybern. Inf. Technol. 2(1), 16–26 (2002)

    MATH  Google Scholar 

  16. Peneva, V., Popchev, I.: Models of decision making support by multicriteria problems in fuzzy environment. Adv. Stud. Contemp. Math. 12(2), 291–308 (2006)

    MathSciNet  MATH  Google Scholar 

  17. Peneva, V., Popchev, I.: Models for decision making by fuzzy relations and fuzzy numbers for criteria evaluations. Comptes Rendus de l’Academie Bulgare des Sciences 62(10), 1217–1222 (2009)

    MATH  Google Scholar 

  18. Peneva, V., Popchev, I.: Models for weighted aggregation of fuzzy relations to multicriteria decision making problems. Cybern. Inf. Technol. 6(3), 3–18 (2006)

    MathSciNet  MATH  Google Scholar 

  19. Peneva, V., Popchev, I.: Aggregation of fuzzy preference relations to multicriteria decision making. Fuzzy Optim. Decis. Making 6(4), 351–365 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  20. Peneva, V., Popchev, I.: Multicriteria decision making based on fuzzy relations. Cybern. Inf. Technol. 8(4), 3–12 (2008)

    MathSciNet  MATH  Google Scholar 

  21. 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)

    MATH  Google Scholar 

  22. Peneva, V., Popchev, I.: Multicriteria decision making by fuzzy relations and weighting functions for the criteria. Cybern. Inf. Technol. 9(4), 58–71 (2009)

    MATH  Google Scholar 

  23. Peneva, V., Popchev, I.: Fuzzy multi-criteria decision making algorithms. Comptes Rendus de l’Academie Bulgare des Sciences 63(7), 979–992 (2010)

    MATH  Google Scholar 

  24. Radeva, I.: Multicriteria fuzzy sets application in economic clustering problems. Cybern. Inf. Technol. 17(3), 29–46 (2017)

    MathSciNet  Google Scholar 

  25. Popchev, I., Radeva, I.: A decision support method for investment preference evaluation. Cybern. Inf. Technol. 6(1), 3–16 (2006)

    MathSciNet  Google Scholar 

  26. Popchev, I., Georgieva, P.: A fuzzy approach to solving multicriteria investment problems. In: Iskander, M. (eds.) Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, pp. 427–431. Springer, Dordrecht (2008)

    Google Scholar 

  27. Vassilev, V.: A generalized scalarizing problem of multicriteria optimization. Cybern. Inf. Technol. 2(2), 88–99 (2002)

    MathSciNet  Google Scholar 

  28. Popchev, I., Metev, B., Yordanova, I.: A Realization of reference point method using the Tchebycheff distance. In: Lewandowski, A., Volkovich, V. (eds.) Multiobjective Problems of Mathematical Programming, 1988. Lecture Notes in Economics and Mathematical Systems, vol. 351, pp. 76–82. Springer, Berlin (1991)

    MATH  Google Scholar 

  29. Metev, B., Yordanova-Markova, I.: Multi-objective optimization over convex disjunctive feasible sets using reference points. Eur. J. Oper. Res. 98(1), 124–137 (1997)

    Article  MATH  Google Scholar 

  30. Metev, B., Yordanova, I.: Use of reference points for MOLP problems analysis. Eur. J. Oper. Res. 68(3), 374–378 (1993)

    Article  MATH  Google Scholar 

  31. Metev, B.: Use of reference points for solving MONLP problems. Eur. J. Oper. Res. 80(1), 193–203 (1995)

    Article  MATH  Google Scholar 

  32. Metev, B., Gueorguieva, D.: A simple method for obtaining weakly efficient points in multiobjective linear fractional programming problems. Eur. J. Oper. Res. 126(2), 386–390 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  33. Narula, S.C., Kirilov, L., Vassilev, V.: Reference direction approach for solving multiple objective nonlinear programming problems. IEEE Trans. Syst. Man Cybern. 24(5), 804–806 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  34. Vassilev, V., Narula, S.: A reference direction algorithm for solving multiple objective integer linear programming problems. J. Oper. Res. Soc. 44(12), 1201–1209 (1993)

    Article  MATH  Google Scholar 

  35. Kirilov, L., Guliashki, V., Genova, K., Vassileva, M., Staykov, B.: Generalized scalarizing model GENS in DSS WebOptim. Int. J. Decis. Support. Syst. Technol. (IJDSST) 5(3), 1–11 (2013)

    Google Scholar 

  36. Vassilev, V., Narula, S., Gouljashki, V.: An interactive reference direction algorithm for solving convex nonlinear integer multiobjective programming problems. Int. Trans. Oper. Res. 8(4), 367–380 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  37. Miettinen, K., Kirilov, L.: Interactive reference direction approach using implicit parametrization for nonlinear multiobjective optimization. J Multi-Criteria Decis Anal 13, 115–123 (2005)

    Article  MATH  Google Scholar 

  38. Genova, K., Kirilov, L., Guljashki, V.: New reference-neighbourhood scalarization problem for multiobjective integer programming. Cybern. Inf. Technol. 13(1), 104–114 (2013)

    MathSciNet  Google Scholar 

  39. Nikolova, M.: A classification based approach for finding Pareto optimal solutions of the multicriteria network flow. Cybern. Inf. Technol. 3(1), 11–17 (2003)

    MathSciNet  Google Scholar 

  40. Kirilov, L., Guliashki, V.: Interactive evolutionary method FIEM for solving integer multiple objective problems. Comptes Rendus de l’Academie Bulgare des Sciences 64(2), 201–210 (2011)

    MathSciNet  MATH  Google Scholar 

  41. Genova, K., Guliashki, V.: Evolutionary algorithm for multiple objective convex integer problems, In: Mitrovski, C. (ed.) XLV International Scientific Conference on Information, Communication and Energy Systems and Technologies ICEST2010, vol. I, pp. 285–289 (2010)

    Google Scholar 

  42. Guliashki, V., Kirilov, L., Genova, K.: An evolutionary algorithm for integer multicriteria optimization (EVALIMCO). In: Kahraman, C., Kerre, E., Bozbura, F. (eds.) 10-th Int. FLINS Conference, pp. 118–123. World Scientific (2012)

    Google Scholar 

  43. Guliashki, V., Kirilov, L.: An interactive evolutionary algorithm for multiple objective convex integer problems. In: 12th International Conference on Computer Systems and Technologies, pp. 82–87. Wien, Austria (2011)

    Google Scholar 

  44. Guliashki, V., Kirilov, L.: SPEA-based method for MCDM convex integer problems. Cybern. Inf. Technol. 9(4), 93–101 (2009)

    Google Scholar 

  45. Guliashki, V., Toshev, H., Korsemov, C.: Survey of evolutionary algorithms used in multiobjective optimization. Probl. Eng. Cybern. Robot. 60, 42–54 (2009)

    MathSciNet  Google Scholar 

  46. Stoilov, T., Stoilova, K.: Noniterative Coordination in Multilevel Systems, 1st edn. Springer (1999)

    Google Scholar 

  47. Stoilova, K., Stoilov, T.: Goal and predictive coordination in two level hierarchical systems. Int. J. Gen. Syst. 37(2), 181–213 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  48. Stoilov, T., Stoilova, K.: Bilevel noniterative interconnected optimization. In: 4th International IEEE Conference Intelligent Systems. IEEE, Bulgaria (2008). https://doi.org/10.1109/IS.2008.4670532

  49. Stoilova, K.: Predictive noniterative coordination implemented for fast resource allocation. Comptes Rendus de l’Academie Bulgare des Sciences 61(8), 1055–1064 (2008)

    Google Scholar 

  50. Stoilov, T.: Noniterative Coordination in Hierarchical Systems. Prof. M. Drinov Publishing House of Bulgarian Academy of Sciences, Sofia (1998)

    MATH  Google Scholar 

  51. Stoilova, K.: Noniterative Predictive Coordination. Prof. M. Drinov Publishing House of Bulgarian Academy of Sciences, Sofia (2010)

    Google Scholar 

  52. Stoilov, T., Stoilova, K.: A self-optimization traffic model by multilevel formalism. Auton. Road Transp. Support. Syst. 87–111 (2016)

    Google Scholar 

  53. Stoilova, K., Stoilov, T., Nikolov, K.: Autonomic properties in traffic control. Cybern. Inf. Technol. 4, 18–32 (2013)

    MathSciNet  Google Scholar 

  54. Stoilova, K., Stoilov, T.: Hierarchical optimization for fast resource allocation. In: Stoilov T. (ed.) Time Management, pp. 31–46. INTECH Publisher (2012)

    Google Scholar 

  55. Stoilov, T., Stoilova, K.: Portfolio risk management modelling by bi-level optimization. Handbook on Decision Making. Intelligent Systems Reference Library, vol. 33, pp. 91–110. Springer, Heidelberg (2012)

    Google Scholar 

  56. Stoilova, K., Stoilov, T., Abouaissa, H.: Traffic lights optimization with measurements of noise levels. Control and Automation Theory for Transportation Applications, pp. 31–36 (2013)

    Google Scholar 

  57. Stoilov, T., Stoilova, K., Stoilova, V.: Bi-level formalization of urban area traffic lights control. Innovative Approaches and Solutions in Advanced Intelligent Systems, pp. 303–318 (2016)

    Google Scholar 

  58. Stoilov, T., Stoilova, K., Papageorgiou, M., Papamichail, I.: Bi-level optimization in a transport network. Cybern. Inf. Technol. 15(5), 37–49 (2015)

    MathSciNet  Google Scholar 

  59. Stoilova, K., Stoilov, T., Ivanov, V.: Bi-level optimization as a tool for implementation of intelligent transportation systems. Cybern. Inf. Technol. 17(2), 97–105 (2017)

    MathSciNet  Google Scholar 

  60. Pavlova, K., Stoilov, T., Stoilova, K.: Bi-level model for public rail transportation under incomplete data. Cybern. Inf. Technol. 17(3), 75–91 (2017)

    MathSciNet  Google Scholar 

  61. Pavlova, K., Stoilov, T.: Design of state rail and bus transportation scheme with bi-level optimization model. Inf. Technol. Control 15(4), 2–9 (2017)

    Google Scholar 

  62. Pavlova, K., Stoilov, T.: Design of state rail and bus transportation scheme with bi-level optimization model. Inf. Technol. Control 4, 2–9 (2017)

    Google Scholar 

  63. Mustakerov I., Borissova, D.: An intelligent approach for optimum maintenance strategy defining. In: Innovations in Intelligent Systems and Applications (INISTA). IEEE, Bulgaria (2013). https://doi.org/10.1109/INISTA.2013.6577666

  64. Korsemov, D., Borissova, D.: Modifications of simple additive weighting and weighted product models for group decision making. Int. J. Adv. Model. Optim. 20(1), 101–112 (2018)

    MATH  Google Scholar 

  65. 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. CCIS, vol. 940, pp. 51–58. Springer (2018)

    Google Scholar 

  66. Korsemov, D., Borissova, D., Mustakerov, I.: Combinatorial optimization model for group decision-making. Cybern. Inf. Technol. 18(2), 65–73 (2018)

    MathSciNet  Google Scholar 

  67. 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)

    Google Scholar 

  68. Borissova, D.: Group decision making for selection of k-best alternatives. Comptes Rendus de l’Academie Bulgare des Sciences 69(2), 183–190 (2016)

    Google Scholar 

  69. Borissova, D., Keremedchiev, D.: Product configuration design via group decision making and combinatorial optimization. Comptes Rendus de l’Academie Bulgare des Sciences 72(9), 1251–1261 (2019)

    Google Scholar 

  70. 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)

    Google Scholar 

  71. Atanassov. K., Pasi, G., Yager, R.: Intuitionistic fuzzy interpretations of multi-measurement tool multi-criteria decision making. In: Kacprzyk, J., Atanassov, K. (eds.) International Conference on Intuitionistic Fuzzy Sets. Notes Intuit. Fuzzy Sets 8(3), 66–74 (2002)

    Google Scholar 

  72. Atanassov, K., Pasi, G., Yager, R.: Intuitionistic fuzzy interpretations of multi-person multi-criteria decision making. In: First International IEEE Symposium Intelligent Systems, Varna, Bulgaria (2002). https://doi.org/10.1109/IS.2002.1044238

  73. Atanassov, K., Pasi, G., Yager, R.: Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making. J. Int. J. Syst. Sci. 36(14), 859–868 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  74. Atanassov, K., Pasi, G., Yager, R., Atanassova, V.: Intuitionistic fuzzy graph interpretations of multi-person multi-criteria decision making. In: Third Conference of the European Society for Fuzzy Logic and Technology EUSFLAT’2003, pp. 177–182. Zittau (2003)

    Google Scholar 

  75. Atanassov, K., Szmidt, E., Kacprzyk, J., Atanassova, V.: An approach to a constructive simplification of multiagent multicriteria decision making problems via intercriteria analysis. Comptes Rendus de l’Academie Bulgare des Sciences 70(8), 1147–1156 (2017)

    Google Scholar 

  76. Atanassov, K., Szmidt, E., Kacprzyk, J., Atanassova, V.: Intuitionistic fuzzy approach to the preference degree estimations. Comptes Rendus de l’Academie Bulgare des Sciences 68(1), 25–32 (2015)

    MathSciNet  MATH  Google Scholar 

  77. Pasi, G., Atanassov, K., Melo Pinto, P., Yager, R., Atanassova, V.: Multi-person multi-criteria decision making: intuitionistic fuzzy approach and generalized net model. In: 10th ISPE Int. Conference on Concurrent Engineering—Advanced Design, Production and Management Systems, pp. 26–30. Madeira (2003)

    Google Scholar 

  78. Pasi, G., Yager, R., Atanassov, K.: Intuitionistic fuzzy graph interpretations of multi-person multi-criteria decision making: generalized net approach. In: 2nd International IEEE Conference on Intelligent Systems, Varna, Bulgaria, pp. 434–439 (2004)

    Google Scholar 

  79. Atanassov, K., Gluhchev, G., Hadjitodorov, S., Kacprzyk, J., Shannon, A., Szmidt, E., Vassilev, V.: Generalized Nets Decision Making and Pattern Recognition. Warsaw School of Information Technology, Warszawa (2006)

    Google Scholar 

  80. Atanassov, K.: Intuitionistic Fuzzy Sets. Springer, Heidelberg (1999)

    Book  MATH  Google Scholar 

  81. Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin (2012)

    Book  MATH  Google Scholar 

  82. Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)

    Book  MATH  Google Scholar 

  83. Atanassov, K.: On Generalized Nets Theory. Prof. M. Drinov Academic Publ. House, Sofia (2007)

    MATH  Google Scholar 

  84. Atanassov, K., Mavrov, D., Atanassova, V.: Intercriteria decision making: A new approach for multicriteria decision making, based on index matrices and intuitionistic fuzzy sets. Issues Intuit. Fuzzy Sets Gen. Nets 11, 1–8 (2014)

    Google Scholar 

  85. Ilieva, G.: Group decision analysis algorithms with EDAS for interval fuzzy sets. Cybern. Inf. Technol. 18(2), 51–64 (2018)

    MathSciNet  Google Scholar 

  86. Ilieva, G.: Group decision analysis with interval type-2 fuzzy numbers. Cybern. Inf. Technol. 17(1), 31–44 (2017)

    MathSciNet  Google Scholar 

  87. Danev, B., Slavov, G., Popchev, I., Metev, B.: Multicriteria evaluation—a new practice in BIA activity. In: Sendov, B., Popchev, I., Ivanov, Y. (eds.) Bilateral Bulgarian and American Seminar Between the Bulgarian Academy of Sciences and the National Academy of Sciences of the USA on the Introducing Research Results in to Practice, pp. 115–122. Bulgarian Academy of Sciences (1987)

    Google Scholar 

  88. Genova, K., Vassileva, M., Vassilev, V., Andonov, F.: Linear multicriteria decision support system. In: Rachev, B., Smirikarov, A. (eds.) Proceedings of CompSysTech’2003, pp. III.17-1–III.17-7 (2003)

    Google Scholar 

  89. Vassilev, V., Genova, K., Vassileva, M.: A multicriteria decision support system MultiDecision-1. Int. J. Inf. Theor. Appl. 13, 103–111 (2006)

    Google Scholar 

  90. Vassilev, V., Vassileva, M., Staykov, B., Genova, K., Andonov, F., Chongova, P.: MultiDecision-2: a multicriteria decision support system. Inf. Technol. Knowl. 2(1), 203–211 (2008)

    Google Scholar 

  91. Vassilev, V., Vassileva, M., Staykov, B., Genova, K., Andonov, F., Dochev, D.: An integrated software system for optimization and decision support MultiOptima. Cybern. Inf. Technol. 2, 83–101 (2008)

    Google Scholar 

  92. Vassilev, V., Vassileva, M., Genova, K., Staykov, B.: A general-purpose software system for linear optimization and decision support “Optima-Plus”. International Book Series “Information Science & Computing”, vol. 10, no. 3, pp. 17–24 (2009)

    Google Scholar 

  93. Vassilev, V., Genova, K., Andonov, F., Staykov, B.: Multicriteria decision support system MultiChoice. Cybern. Inf. Technol. 4(1), 65–75 (2004)

    Google Scholar 

  94. Kirilov, L., Guliashki, V., Genova, K., Zhivkov, P., Staykov, B., Vatov, D.: Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches. Int. J. Reason. Based Intell. Syst. 7(1/2), 4–15 (2015)

    Google Scholar 

  95. Kirilov, L., Guliashki, V., Staykov, B.: Chapter 7 Web-based decision support system for solving multiple-objective decision-making problems. Technological Innovations in Knowledge Management and Decision Support, pp. 150–175 (2019)

    Google Scholar 

  96. Mustakerov, I., Borissova, D.: Data structures and algorithms of intelligent web-based system for modular design. Int. J. Comput. Sci. Eng. 7(7), 87–92 (2013)

    MATH  Google Scholar 

  97. Borissova, D., Mustakerov, I.: Method of rational choice by sorting in the software system “NVGpro.” Cybern. Inf. Technol. 6(1), 69–75 (2006)

    Google Scholar 

  98. Borissova, D., Mustakerov, I.: An integrated framework of designing a decision support system for engineering predictive maintenance. Int. J. Inf. Technol. Knowl. 6(4), 366–376 (2012)

    Google Scholar 

  99. Borissova, D., Mustakerov, I.: A concept of intelligent e-maintenance decision making system. In: Innovations in Intelligent Systems and Applications (INISTA’2013). IEEE, Bulgaria (2013). https://doi.org/10.1109/INISTA.2013.6577668

  100. Moustakerov, I.: A software system for visual processing of graph data. Cybern. Inf. Technol. 5(2), 156–163 (2005)

    Google Scholar 

  101. Borissova, D., Mustakerov, I.: E-learning tool for visualization of shortest paths algorithms. Trends J. Sci. Res. 2(3), 84–89 (2015)

    Article  Google Scholar 

  102. 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)

    Google Scholar 

  103. Mustakerov, I., Borissova, D.: A web application for group decision-making based on combinatorial optimization. In: 4th International Conference on Information Systems and Technologies (ICIST 2014), Valencia, Spain, pp. 46–56 (2014)

    Google Scholar 

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  1. Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences, 1113, Sofia, Bulgaria

    Daniela Borissova

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  1. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

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Borissova, D. (2021). An Overview of Multi-criteria Decision Making Models and Software Systems. In: Atanassov, K.T. (eds) Research in Computer Science in the Bulgarian Academy of Sciences. Studies in Computational Intelligence, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-72284-5_15

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