ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC Original Paper

A method for aggregating three types of preference relations in group decision making environment

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2018.02.007
  • Received Date: 24 April 2017
  • Rev Recd Date: 22 October 2017
  • Publish Date: 28 February 2018
  • Experts often give heterogeneous types of preference information, such as fuzzy preference relations, interval reciprocal preference relations and linguistic preference relations, in a group decision making environment. A new method was developed for aggregating these three types of preference relations, whose basic idea is that different kinds of information are transformed into an intermediate field (an utility space) before they are aggregated. The advantage of this method is that the direct inter-conversion among those different kinds of preference information is avoided and the computation process is more simple. Firstly, considering fuzzy preference relations, interval reciprocal preference relations and linguistic preference relations, these preference relations were transformed into fuzzy preference relations based on the idea of utility, and the reasonability in the transforming process was discussed. Then an approach was provided to aggregate those kinds of information and select the best alternatives in the group decision making process. Finally, the practicability of this method was illustrated with an example.
    Experts often give heterogeneous types of preference information, such as fuzzy preference relations, interval reciprocal preference relations and linguistic preference relations, in a group decision making environment. A new method was developed for aggregating these three types of preference relations, whose basic idea is that different kinds of information are transformed into an intermediate field (an utility space) before they are aggregated. The advantage of this method is that the direct inter-conversion among those different kinds of preference information is avoided and the computation process is more simple. Firstly, considering fuzzy preference relations, interval reciprocal preference relations and linguistic preference relations, these preference relations were transformed into fuzzy preference relations based on the idea of utility, and the reasonability in the transforming process was discussed. Then an approach was provided to aggregate those kinds of information and select the best alternatives in the group decision making process. Finally, the practicability of this method was illustrated with an example.
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  • [1]
    HERRERA F, MARTNEZ L, SNCHEZ P J. Managing non-homogeneous information in group decision making[J].European Journal of Operation Research, 2005,166:115-132.
    [2]
    JIANG Y P, FAN Z P, MA J. A method for group decision making with multi-granularity linguistic assessment information[J]. Information Sciences, 2008,178:1098-1109.
    [3]
    刘洋, 樊治平.一种具有多粒度区间语言信息的群决策方法[J]. 东北大学学报(自然科学版), 2009,30(4):601-604.
    LIU Yang, FAN Zhiping. A group decision-making method with multi-granularity uncertain linguistic information [J]. Journal of Northeastern University (Natural Science), 2009, 30(4):601-604.
    [4]
    XU Z S. An integrated model-based interactive approach to FMAGDM with incomplete preference information[J]. Fuzzy Optim Decis Making, 2010, 9(3): 333-357.
    [5]
    FAN Z P, LIU Y. A method for group decision-making based on multi-granularity uncertain linguistic information[J]. Expert Systems with Applications, 2010, 37:4000-4008.
    [6]
    XU Y J, DA Q L, LIU X W. Some properties of linguistic preference relation and its ranking in group decision making[J]. Journal of Systems Engineering and Electronics, 2010, 21(2):244-249.
    [7]
    乐琦, 樊治平.具有多粒度区间语言评价信息的多属性群决策方法[J].控制与决策, 2010,25(7):1059-1068.
    YUE Qi, FAN Zhiping. Method for solving multiple attribute group decision-making problems with multi-granularity uncertain linguistic assessment information[J].Control and Decision, 2010, 25(7): 1059-1068.
    [8]
    JAHANSHAHLOO G R, LOTFI F H, IZADIKHAH M. An algorithmic method to extend TOPSIS for decision-making problems with interval data[J]. Applied Mathematics and Computation, 2006,175:1375-1384.
    [9]
    DYMOVA L, SEVASTJANOV P, TIKHONENKO A. A direct interval extension of TOPSIS method[J]. Expert Systems with Applications, 2013, 40: 4841-4847.
    [10]
    XU Z S, CHEN J. Some models for deriving the priority weights from interval fuzzy preference relations[J].European Journal of Operational Research,2008,184:266-280.
    [11]
    徐泽水.不确定多属性决策方法及应用[M].北京:清华大学出版社,2004.
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Catalog

    [1]
    HERRERA F, MARTNEZ L, SNCHEZ P J. Managing non-homogeneous information in group decision making[J].European Journal of Operation Research, 2005,166:115-132.
    [2]
    JIANG Y P, FAN Z P, MA J. A method for group decision making with multi-granularity linguistic assessment information[J]. Information Sciences, 2008,178:1098-1109.
    [3]
    刘洋, 樊治平.一种具有多粒度区间语言信息的群决策方法[J]. 东北大学学报(自然科学版), 2009,30(4):601-604.
    LIU Yang, FAN Zhiping. A group decision-making method with multi-granularity uncertain linguistic information [J]. Journal of Northeastern University (Natural Science), 2009, 30(4):601-604.
    [4]
    XU Z S. An integrated model-based interactive approach to FMAGDM with incomplete preference information[J]. Fuzzy Optim Decis Making, 2010, 9(3): 333-357.
    [5]
    FAN Z P, LIU Y. A method for group decision-making based on multi-granularity uncertain linguistic information[J]. Expert Systems with Applications, 2010, 37:4000-4008.
    [6]
    XU Y J, DA Q L, LIU X W. Some properties of linguistic preference relation and its ranking in group decision making[J]. Journal of Systems Engineering and Electronics, 2010, 21(2):244-249.
    [7]
    乐琦, 樊治平.具有多粒度区间语言评价信息的多属性群决策方法[J].控制与决策, 2010,25(7):1059-1068.
    YUE Qi, FAN Zhiping. Method for solving multiple attribute group decision-making problems with multi-granularity uncertain linguistic assessment information[J].Control and Decision, 2010, 25(7): 1059-1068.
    [8]
    JAHANSHAHLOO G R, LOTFI F H, IZADIKHAH M. An algorithmic method to extend TOPSIS for decision-making problems with interval data[J]. Applied Mathematics and Computation, 2006,175:1375-1384.
    [9]
    DYMOVA L, SEVASTJANOV P, TIKHONENKO A. A direct interval extension of TOPSIS method[J]. Expert Systems with Applications, 2013, 40: 4841-4847.
    [10]
    XU Z S, CHEN J. Some models for deriving the priority weights from interval fuzzy preference relations[J].European Journal of Operational Research,2008,184:266-280.
    [11]
    徐泽水.不确定多属性决策方法及应用[M].北京:清华大学出版社,2004.

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