Hesitant Fuzzy Linguistic Consensus Model Based on Trust-Recommendation Mechanism for Hospital Expert Consultation

Aiming at validly improving the efficiency and quality of hospital expert consultation, a consensus model under uncertainty is established to operate a hospital decision support system (HDSS). Considering that expert consultation is commonly used in emergency events associated with life rescue where uncertainty and complexity exist, hesitant fuzzy linguistic terms are adopted. Additionally, since pairwise comparison information is efficient to express individual judgment, a novel concept of satisfaction degree toward hesitant fuzzy linguistic preference relation is utilized to measure the group consensus. A trust-recommendation mechanism is built to generate advice for experts. A consensus model is constructed to handle the HDSS in emergency decision-making problems. Some simulation experiments are designed to verify the availability and reasonability of the proposed model. Then, the proposed model is applied to address the selection of an emergency response plan for the influenza H7N9 virus, and finally, the strong robustness and powerful capability of the proposed model in the consensus reaching process is exhibited by making a comparative analysis among several recommendation mechanisms.

[1]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning - II , 1975, Inf. Sci..

[2]  Francisco Herrera,et al.  A consensus model for multiperson decision making with different preference structures , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[3]  Manuel Campos,et al.  Development of a clinical decision support system for antibiotic management in a hospital environment , 2016, Progress in Artificial Intelligence.

[4]  Suzana Loskovska,et al.  Data Mining in Clinical Decision Support Systems , 2013 .

[5]  Zeshui Xu,et al.  Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations , 2014, IEEE Transactions on Fuzzy Systems.

[6]  Zhibin Wu,et al.  A consensus process for hesitant fuzzy linguistic preference relations , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

[8]  Chinho Lin,et al.  A consensus approach for synthesizing the elements of comparison matrix in the Analytic Hierarchy Process , 2001, Int. J. Syst. Sci..

[9]  Francisco Herrera,et al.  A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations , 2007, IEEE Transactions on Fuzzy Systems.

[10]  D Mutter,et al.  Preliminary assessment of the value and effect of expert consultation in telemedicine. , 2000, Journal of the American College of Surgeons.

[11]  Zhibin Wu,et al.  Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations , 2016 .

[12]  Zeshui Xu,et al.  Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making , 2015, Expert Syst. Appl..

[13]  Fang Liu,et al.  TOPSIS-Based Consensus Model for Group Decision-Making With Incomplete Interval Fuzzy Preference Relations , 2014, IEEE Transactions on Cybernetics.

[14]  Jinde Cao,et al.  Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem , 2018, IEEE Transactions on Cybernetics.

[15]  Enrique Herrera-Viedma,et al.  A visual interaction consensus model for social network group decision making with trust propagation , 2017, Knowl. Based Syst..

[16]  Dragan G. Radojevic,et al.  Modeling consensus using logic-based similarity measures , 2015, Soft Comput..

[17]  Dimitar Filev,et al.  Induced ordered weighted averaging operators , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[18]  Changyong Liang,et al.  A trust induced recommendation mechanism for reaching consensus in group decision making , 2017, Knowl. Based Syst..

[19]  I. Janis.  Groupthink: Psychological Studies of Policy Decisions and Fiascoes , 1982 .

[20]  José María Moreno-Jiménez,et al.  Consensus Building in AHP-Group Decision Making: A Bayesian Approach , 2010, Oper. Res..

[21]  Zeshui Xu,et al.  A consensus reaching model for hesitant information with different preference structures , 2017, Knowl. Based Syst..

[22]  Yu Jian-bo.  Application of OLAP in hospital decision support system , 2005 .

[23]  José M. F. Moura,et al.  A Consensus-Based Multicriteria Group Decision Model for Information Technology Management Committees , 2018, IEEE Transactions on Engineering Management.

[24]  Enrique Herrera-Viedma,et al.  Trust based consensus model for social network in an incomplete linguistic information context , 2015, Appl. Soft Comput..

[25]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[26]  Frank L. Lewis,et al.  Trust method for multi-agent consensus , 2012, Defense, Security, and Sensing.

[27]  Francisco Herrera,et al.  Hesitant Fuzzy Linguistic Term Sets , 2011 .

[28]  Yin-Feng Xu,et al.  Consensus models for AHP group decision making under row geometric mean prioritization method , 2010, Decis. Support Syst..

[29]  Enrique Herrera-Viedma,et al.  A linguistic consensus model for Web 2.0 communities , 2013, Appl. Soft Comput..

[30]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[31]  Myron Hatcher,et al.  Voting and priorities in health care decision making, portrayed through a group decision support system, using analytic hierarchy process , 1994, Journal of Medical Systems.

[32]  Jeffrey S. Barrett,et al.  Bmc Medical Informatics and Decision Making Integration of Modeling and Simulation into Hospital-based Decision Support Systems Guiding Pediatric Pharmacotherapy , 2008 .

[33]  Xiao-hong Chen,et al.  A dynamical consensus method based on exit-delegation mechanism for large group emergency decision making , 2015, Knowl. Based Syst..

[34]  F P Ottes,et al.  Remote expert consultation for MRI procedures by means of teleradiology. , 1995, European journal of radiology.

[35]  Enrique Herrera-Viedma,et al.  On dynamic consensus processes in group decision making problems , 2018, Inf. Sci..

[36]  Jiuping Xu,et al.  Integer Programming Models to Manage Consensus for Uncertain MCGDM Based on PSO Algorithms , 2019, IEEE Transactions on Fuzzy Systems.

[37]  Witold Pedrycz,et al.  A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity , 2018, IEEE Transactions on Fuzzy Systems.

[38]  Bingfeng Ge,et al.  Consensus building in group decision making based on multiplicative consistency with incomplete reciprocal preference relations , 2016, Knowl. Based Syst..

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

[40]  Chris Cornelis,et al.  Trust- and Distrust-Based Recommendations for Controversial Reviews , 2011, IEEE Intelligent Systems.

[41]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[42]  Nikita E. Shklovskiy-Kordi,et al.  Decision support system using multimedia case history quantitative comparison and multivariate statistical analysis , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).