About the Double Hierarchy Linguistic Term Set and Its Extensions

Practical decision-making process mainly consists of three aspects: collecting assessment information, processing assessment information, and obtaining the final decision-making result. In this process, the first and most important step is to represent the original meaning of the assessment information of decision-makers (DMs). Considering that the natural languages are more in line with the real thought of DMs than the crisp values, so the research of how to represent qualitative information becomes increasingly popular and attracted many experts. Then, The fuzzy linguistic approach was proposed to deal with the natural language and the concept of computing with words was further defined. Motivated by the fuzzy linguistic approach, the double hierarchy linguistic term set (DHLTS) and its extensions were defined to represent the complex linguistic information, and lots of researches have been done about the DHLTS and its extensions. In this paper, we mainly review the existing research about the DHLTS and its extensions from different angles including decision-making methodologies, preference relations and information measures. Then, we make a short comment about them and discuss some research directions for the future.

[1]  Zeshui Xu,et al.  A method based on linguistic aggregation operators for group decision making with linguistic preference relations , 2004, Inf. Sci..

[2]  Zeshui Xu,et al.  Group decision making model and approach based on interval preference orderings , 2013, Comput. Ind. Eng..

[3]  Jacinto González-Pachón,et al.  Aggregation of partial ordinal rankings: an interval goal programming approach , 2001, Comput. Oper. Res..

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

[5]  Ronald R. Yager,et al.  On the retranslation process in Zadeh's paradigm of computing with words , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  Zeshui Xu,et al.  Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment , 2020, Appl. Soft Comput..

[7]  Yuan Gao,et al.  The optimization-based aggregation and consensus with minimum-cost in group decision making under incomplete linguistic distribution context , 2018, Knowl. Based Syst..

[8]  Zeshui Xu,et al.  Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty , 2018, Inf. Sci..

[9]  Yucheng Dong,et al.  On consistency measures of linguistic preference relations , 2008, Eur. J. Oper. Res..

[10]  Wei Zhou,et al.  MANAGING CONSENSUS BY MULTI-STAGE OPTIMIZATION MODELS WITH LINGUISTIC PREFERENCE ORDERINGS AND DOUBLE HIERARCHY LINGUISTIC PREFERENCES , 2020 .

[11]  Zeshui Xu,et al.  Hesitant fuzzy information aggregation in decision making , 2011, Int. J. Approx. Reason..

[12]  Johan Schubert,et al.  On varrho in a decision-theoretic apparatus of Dempster-Shafer theory , 1995, Int. J. Approx. Reason..

[13]  Didier Dubois,et al.  The role of fuzzy sets in decision sciences: Old techniques and new directions , 2011, Fuzzy Sets Syst..

[14]  Zeshui Xu,et al.  On the syntax and semantics of virtual linguistic terms for information fusion in decision making , 2017, Inf. Fusion.

[15]  Zeshui Xu Deviation measures of linguistic preference relations in group decision making , 2005 .

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

[17]  Zeshui Xu,et al.  Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment , 2004, Inf. Sci..

[18]  Francisco Herrera,et al.  Hesitant Fuzzy Linguistic Term Sets for Decision Making , 2012, IEEE Transactions on Fuzzy Systems.

[19]  Yin-Feng Xu,et al.  Minimum deviation ordinal consensus reaching in GDM with heterogeneous preference structures , 2017, Appl. Soft Comput..

[20]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[21]  Zeshui Xu,et al.  Free Double Hierarchy Hesitant Fuzzy Linguistic Term Sets: An application on ranking alternatives in GDM , 2019, Inf. Fusion.

[22]  Carlos Hervés‐Beloso,et al.  Continuous Preference Orderings Representable by Utility Functions , 2019 .

[23]  Huchang Liao,et al.  Unbalanced double hierarchy linguistic term set: The TOPSIS method for multi-expert qualitative decision making involving green mine selection , 2019, Inf. Fusion.

[24]  Francisco Herrera,et al.  Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment , 2018, Comput. Ind. Eng..

[25]  Yucheng Dong,et al.  A prospect theory-based method for fusing the individual preference-approval structures in group decision making , 2018, Comput. Ind. Eng..

[26]  Francisco Herrera,et al.  Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations , 2020, IEEE Transactions on Cybernetics.

[27]  Ido Millet,et al.  The Effectiveness of Alternative Preference Elicitation Methods in the Analytic Hierarchy Process , 1997 .

[28]  Francisco Herrera,et al.  Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity , 2009, IEEE Transactions on Fuzzy Systems.

[29]  Lotfi A. Zadeh,et al.  Computing with Words - Principal Concepts and Ideas , 2012, Studies in Fuzziness and Soft Computing.

[30]  Francisco Herrera,et al.  Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model , 2019, Inf. Sci..

[31]  Francisco Herrera,et al.  Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations , 2018, Knowl. Based Syst..

[32]  Francisco Herrera,et al.  Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures , 2017, Inf. Fusion.

[33]  Zeshui Xu,et al.  A consensus framework with different preference ordering structures and its applications in human resource selection , 2018, Comput. Ind. Eng..