An approach to multi-attribute group decision making based on multigranulation probabilistic fuzzy rough set and Multimoora method

[1]  Edmundas Kazimieras Zavadskas,et al.  Multimoora Optimization Used to Decide on a Bank Loan to Buy Property , 2011 .

[2]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[3]  Bo Peng,et al.  Cloud model based approach to group decision making with uncertain pure linguistic information , 2017, J. Intell. Fuzzy Syst..

[4]  Qinghua Hu,et al.  Neighborhood rough set based heterogeneous feature subset selection , 2008, Inf. Sci..

[5]  Núria Agell,et al.  Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making , 2014, Inf. Fusion.

[6]  Edmundas Kazimieras Zavadskas,et al.  Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry , 2018 .

[7]  Wojciech Ziarko,et al.  Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..

[8]  Yiyu Yao,et al.  Relational Interpretations of Neigborhood Operators and Rough Set Approximation Operators , 1998, Inf. Sci..

[9]  Yiyu Yao,et al.  Neighborhood systems and approximate retrieval , 2006, Inf. Sci..

[10]  Zhi-Ping Fan,et al.  A method for group decision-making based on multi-granularity uncertain linguistic information , 2010, Expert Syst. Appl..

[11]  Edmundas Kazimieras Zavadskas,et al.  Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers , 2019, Comput. Ind. Eng..

[12]  Dominik Slezak,et al.  The investigation of the Bayesian rough set model , 2005, Int. J. Approx. Reason..

[13]  Manfred M. Fischer,et al.  A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems , 2008, Int. J. Approx. Reason..

[14]  Francisco Herrera,et al.  Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..

[15]  Andrzej Skowron,et al.  Rough sets: Some extensions , 2007, Inf. Sci..

[16]  Qinghua Hu,et al.  Neighborhood classifiers , 2008, Expert Syst. Appl..

[17]  Jiye Liang,et al.  Incomplete Multigranulation Rough Set , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[18]  Jiye Liang,et al.  Evaluation of the results of multi-attribute group decision-making with linguistic information , 2012 .

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

[20]  Xiaonan Li,et al.  Three-way decisions approach to multiple attribute group decision making with linguistic information-based decision-theoretic rough fuzzy set , 2018, Int. J. Approx. Reason..

[21]  Zeshui Xu,et al.  Multi-attribute group decision-making under probabilistic uncertain linguistic environment , 2018, J. Oper. Res. Soc..

[22]  Yiyu Yao,et al.  MGRS: A multi-granulation rough set , 2010, Inf. Sci..

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

[24]  D. Dubois,et al.  ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .

[25]  Bingzhen Sun,et al.  An approach to consensus measurement of linguistic preference relations in multi-attribute group decision making and application , 2015 .

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

[27]  Yasser F. Hassan,et al.  Rough set machine translation using deep structure and transfer learning , 2018, J. Intell. Fuzzy Syst..

[28]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .