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Comprehensive assessment method for multi-attribute decision making

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초록

There are lots of methods for multi-attribute decision making problems. However, there is no standard to judge which is more reasonable. This paper proposes a comprehensive assessment method based on the existing methods for multi-attribute decision making problems. First, we introduce the ranking vector and the transformation function to make different methods in one dimension. Then, we give the reliability degree of different methods and discuss its several desirable properties. Next, we propose a comprehensive assessment method. Further more, an example is illustrated to demonstrate the validity and feasibility of the proposed method.

Abstract

There are lots of methods for multi-attribute decision making problems. However, there is no standard to judge which is more reasonable. This paper proposes a comprehensive assessment method based on the existing methods for multi-attribute decision making problems. First, we introduce the ranking vector and the transformation function to make different methods in one dimension. Then, we give the reliability degree of different methods and discuss its several desirable properties. Next, we propose a comprehensive assessment method. Further more, an example is illustrated to demonstrate the validity and feasibility of the proposed method.

참고문헌 (28)

  1. C. Calude, "Information and Randomness: An Algorithmic Perspective" (2002), Springer-Verlag
  2. N. Chen, "The ELECTTER I multi-criteria decision making method based in hesitant fuzzy set", International Journal of Information Technology and Decision Making, 13, pp.1~37 (2014)
  3. N. Chen, "Interval-valued hesitant preference relation and applications to group decision making", Knowledge Based Systems, 37, pp.528~540 (2013)
  4. N. Chen, "Hesitant fuzzy ELECTRE II approach : A new way to handle multi-criteria decision making problems", Inform. Sci, 292, pp.175~197 (2015)
  5. Y. C. Dong, "Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making", Inform. Sci, 297, pp.95~117 (2015)
  6. D. Deepak D, "hesitant fuzzy rough sets through hesitant fuzzy relations", Ann. Fuzzy Math. Inform, 8(1), pp.33~46 (2014)
  7. B. Farhadinia, "A series of score function for hesitant fuzzy sets", Inform. Sci, 277, pp.102~110 (2014)
  8. B. Farhadinia, "Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets", Inform. Sci, 240, pp.129~144 (2013)
  9. B. Farhadinia, "Hesitant fuzzy set lexicographical ordering and its application to multi-attribute decision making", Inform. Sci, 327, pp.233~245 (2016)
  10. B. Farhadinia, "A novel method of ranking hesitant fuzzy values for multiple attribute decision-making problems", International Journal of Intelligent Systems, 28, pp.752~767 (2013)
  11. H. C. Liao, "Multiplicative consistency of hesitant fuzzy preference relation and its application in group decision making", International Journal of Information Technology and Decision Making, 13, pp.47~76 (2014)
  12. D. Q. Li, "Note on distance measure of hesitant fuzzy sets", Inform. Sci, 321, pp.103~115 (2015)
  13. J. D. Qin, "Hesitant fuzzy Maclaurin symmetric mean operators and its application to multiple-attribute decision making", International Journal of Fuzzy Systems, 17, pp.509~520 (2015)
  14. R. M. Rodrguez, "Hesitant fuzzy set: state of the art and future directions", International Journal of Intelligent Systems, 29, pp.495~524 (2014)
  15. V. Torra, "Hesitant fuzzy sets", International Journal of Intelligent Systems, 25, pp.529~539 (2010)
  16. V. Torra, "On hesitant fuzzy set and decision", IEEE International Conference on Fuzzy System, pp.1378~1382 (2009)
  17. C. Q. Tan, "Hesitant fuzzy Hamacher aggregation operators for multicriteria decision making", Applied Soft Computing, 26, pp.325~349 (2015)
  18. M. M. Xia, "Hesitant fuzzy information aggregation in decision making", International Journal of Approximate Reasoning, 52, pp.395~407 (2011)
  19. Z. S. Xu, "Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information", Knowledge Based Systems, 52, pp.53~64 (2013)
  20. Z. S. Xu, "Distance and similarity messures for hesitant fuzzy sets", Inform. Sci, 181, pp.2128~2138 (2011)
  21. G. L. Xu, "A selection method based on MAGDM with interval-valued intuitionistic fuzzy sets", Math. Probl. Eng, 2015(3), pp.1~13 (2015)
  22. J. Yang, "Generalized hesitnat fuzzy geometric aggregation operators and their applications in multicriteria decision making", Ann. Fuzzy Math. Inform, 13, pp.1~27 (2017)
  23. Z. M. Zhang, "Weighted hesitant fuzzy sets and their application to multi-criteria decision making", British Journal Mathematics and Computer Science, 4, pp.1091~1123 (2014)
  24. W. Zhou, "Optimal discrete tting aggregation approach with hesitant fuzzy information", Knowledge Based Systems, 78, pp.22~33 (2015)
  25. B. Zhu, "Hesitant fuzzy geometric Bonferroni means", Inform. Sci, 205, pp.72~85 (2012)
  26. C. X. Zhu, "Linguistic hesitant fuzzy power aggregation operators and their applications in multiple attribute decision-making", Inform. Sci, 367-368, pp.809~826 (2016)
  27. N. Zhang, "Extension of VIKOR method for decision making problem based on hesitant fuzzy set", Appl. Math. Model, 37, pp.4938~4947 (2013)
  28. X. L. Zhang, "The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment", Knowledge Based Systems, 61, pp.48~58 (2014)

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