Articles

PROMETHEE method for hesitant fuzzy multi-criteria decision making based on possibility degree

  • FENG Xiangqian ,
  • TAN Qianyun ,
  • ZHANG Huarong
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  • 1. School of Computer Science & Technology, Nanjing Normal University, Nanjing 210023, China;
    2. Science & Technology Office, Nanjing Normal University, Nanjing 210023, China

Received date: 2015-01-27

  Revised date: 2015-04-27

  Online published: 2015-06-11

Abstract

For hesitant fuzzy multi-criteria decision making problems, the concept of the possibility degree of the hesitant fuzzy elements is introduced and the PROMETHEE method based on the possibility degree is proposed. First, a comparison formula for the hesitant fuzzy possibility degree based on the probability criterion of a uniform distribution is derived, and its properties are shown. Then, a novel method of the hesitant fuzzy linguistic multi-criteria decision making is developed based on the idea of PROMETHEE, in which the multiple steps may be integrated into one formula to simplify the computational process. Finally, the rationality and the feasibility of the method is verified in an illustrative example.

Cite this article

FENG Xiangqian , TAN Qianyun , ZHANG Huarong . PROMETHEE method for hesitant fuzzy multi-criteria decision making based on possibility degree[J]. Science & Technology Review, 2015 , 33(11) : 90 -93 . DOI: 10.3981/j.issn.1000-7857.2015.11.016

References

[1] Torra V, Narukawa Y. On hesitant fuzzy sets and decision[C]//The 18th IEEE International Conference on Fuzzy Systems. New York: IEEE, 2009: 1378-1382.
[2] Torra V. Hesitant fuzzy sets[J]. International Journal of Intelligent Systems, 2010, 25(6): 529-539.
[3] Xu Z S, Xia M M. Distance and similarity measures for hesitant fuzzy sets[J]. Information Sciences, 2011, 181(11): 2128-2138.
[4] Xia M M, Xu Z S. Hesitant fuzzy information aggregation in application to multiple attribute decision making[J]. International Journal of Approximate Reasoning, 2011, 52: 395-407.
[5] Xu Z S, Xia M M. On distance and correlation measure of hesitant fuzzy information[J]. International Journal of Intelligent Systems, 2011, 26: 410-425.
[6] Xu Z S, Xia M M. Hesitant fuzzy entropy and their use in multi-attribute decision making[J]. International Journal of Intelligent Systems, 2012, 27 (9): 799-822.
[7] Rodríguez R M, Martínez L, Torra V, et al. Hesitant fuzzy sets: State of the art and future directions[J]. International Journal of Intelligent Systems, 2014, 29(6): 495-524.
[8] Zhang X L, Xu Z S. Interval programming method for hesitant fuzzy multiattribute group decision making with incomplete preference over alternatives[J]. Computers & Industrial Engineering, 2014, 75: 217-229.
[9] Ye J. Correlation coefficient of dual hesitant fuzzy sets and its application to multiple attribute decision making[J]. Applied Mathematical Modeling, 2014, 38(2): 659-666.
[10] Xu Z S, Zhang X L. Hesitant fuzzy multi- attribute decision making based on TOPSIS with incomplete weight information[J]. Knowledge- Based Systems, 2013, 52: 53-64.
[11] 刘小弟, 朱建军, 刘思峰. 犹豫模糊信息下的双向投影决策方法[J]. 系统工程理论与实践, 2014, 34(10): 2637-2644. Liu Xiaodi, Zhu Jianjun, Liu Sifeng. Bidirectional projection method with hesitant fuzzy information[J]. Systems Engineering Theory & Practice, 2014, 34(10): 2637-2644.
[12] Zhang X L, Xu Z S. Hesitant fuzzy QUALIFLEX approach with a signed distance-based comparison method for multiple criteria decision analysis[J]. Expert Systems with Applications, 2015, 42(2): 873-884.
[13] Zhang N, Wei G W. Extension of VIKOR method for decision making problem based on hesitant fuzzy set[J]. Applied Mathematical Modelling, 2013, 37(7): 4938-4947.
[14] Brans J P, Vincke P. A preference ranking organization method: The PROMETHEE method for MCDM[J]. Management Science, 1985, 31(6): 647- 6561.
[15] Brans J P, Mareschal B. How to select and how to rank projects: The PROMETHEE method[J]. European Journal of Operational Research, 1986, 24(2): 228-238.
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