The prametric-based GDM selection procedure under linguistic assessments

The prametric-based procedure is a group decision making (GDM) selection process minimizing a consensus gap indicator, which is not a metric but a prametric. The prametric is an `almost metric' which does not necessarily satisfy the triangle inequality but able to describe the consensus intransitivity in GDM. This paper considers the procedure under a linguistic situation, where the individuals preferences are provided as linguistic preference relations. The procedure contains two main stages. The first stage looks for the individual's ties-permitted ordinal rankings from the individual's opinions. In order to do this, we introduce an acceptable consistency criterion for linguistic preference relations and show some related properties. If the linguistic preference relation is acceptable, we then obtain the ties-permitted ordinal ranking directly. Otherwise, the ties-permitted ordinal ranking will be deduced by minimizing a consensus gap. The second stage looks for the final solution sets of alternatives by minimizing the gap between a potential solution and the rankings obtained in the first stage. Some illustrative examples are included.

[1]  Jui-Fang Chang,et al.  An Approach to Group Decision Making Based on Incomplete Linguistic Preference Relations , 2009, 2009 Fifth International Conference on Information Assurance and Security.

[2]  HerreraF.,et al.  An overview on the 2-tuple linguistic model for computing with words in decision making , 2012 .

[3]  Salvatore Greco,et al.  Rough approximation of a preference relation by dominance relations , 1999, Eur. J. Oper. Res..

[4]  Francisco Herrera,et al.  Group decision making with incomplete fuzzy linguistic preference relations , 2009, Int. J. Intell. Syst..

[5]  Francisco Chiclana,et al.  Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building , 2014, Knowl. Based Syst..

[6]  Fujun Hou,et al.  A Consensus Gap Indicator and Its Application to Group Decision Making , 2015 .

[7]  Salvatore Greco,et al.  Rough sets theory for multicriteria decision analysis , 2001, Eur. J. Oper. Res..

[8]  Fujun Hou,et al.  A Semiring-based study of judgment matrices: properties and models , 2011, Inf. Sci..

[9]  Enrique Herrera-Viedma,et al.  On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends , 2015, Knowl. Based Syst..

[10]  Francisco Herrera,et al.  Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations , 1998, Fuzzy Sets Syst..

[11]  Yucheng Dong,et al.  The fusion process with heterogeneous preference structures in group decision making: A survey , 2015, Inf. Fusion.

[12]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[13]  Francisco Herrera,et al.  An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges , 2012, Inf. Sci..

[14]  Enrique Herrera-Viedma,et al.  Managing incomplete preference relations in decision making: A review and future trends , 2015, Inf. Sci..

[15]  Francisco Herrera,et al.  Computing with Words in Decision support Systems: An overview on Models and Applications , 2010, Int. J. Comput. Intell. Syst..

[16]  Witold Pedrycz,et al.  A review of soft consensus models in a fuzzy environment , 2014, Inf. Fusion.

[17]  Peter C. Fishburn,et al.  Interval orders and interval graphs : a study of partially ordered sets , 1985 .

[18]  Yin-Feng Xu,et al.  Consistency and consensus measures for linguistic preference relations based on distribution assessments , 2014, Inf. Fusion.

[19]  T. Tanino Fuzzy preference orderings in group decision making , 1984 .