Intertemporal Hesitant Fuzzy Soft Sets: Application to Group Decision Making
暂无分享,去创建一个
Luis Martínez | Keyun Qin | Rosa M. Rodríguez | José Carlos R. Alcantud | Yaya Liu | J. Alcantud | L. Martínez | K. Qin | Yaya Liu
[1] R. Pollak,et al. SECOND-BEST NATIONAL SAVING AND GAME-EQUILIBRIUM GROWTH , 1980 .
[2] Jianming Zhan,et al. A novel soft rough set: Soft rough hemirings and corresponding multicriteria group decision making , 2017, Appl. Soft Comput..
[3] Chonghui Guo,et al. On priority weights and consistency for incomplete hesitant fuzzy preference relations , 2017, Knowl. Based Syst..
[4] José Carlos Rodriguez Alcantud,et al. Some formal relationships among soft sets, fuzzy sets, and their extensions , 2016, Int. J. Approx. Reason..
[5] K. S. Ravichandran,et al. A Framework for Multi-Attribute Group Decision-Making Using Double Hierarchy Hesitant Fuzzy Linguistic Term Set , 2019, Int. J. Fuzzy Syst..
[6] Keyun Qin,et al. Object–Parameter Approaches to Predicting Unknown Data in an Incomplete Fuzzy Soft Set , 2017, Int. J. Appl. Math. Comput. Sci..
[7] V. Torra,et al. A framework for linguistic logic programming , 2010 .
[8] José Carlos Rodriguez Alcantud,et al. Necessary and possible hesitant fuzzy sets: A novel model for group decision making , 2019, Inf. Fusion.
[9] José Carlos Rodriguez Alcantud,et al. A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set , 2016, Inf. Fusion.
[10] José Carlos Rodriguez Alcantud,et al. N-soft sets and their decision making algorithms , 2017, Soft Computing.
[11] Xiaohong Chen,et al. Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making , 2014, J. Appl. Math..
[12] Liqun Gao,et al. Letter to the editor: Comment on A fuzzy soft set theoretic approach to decision making problems , 2009 .
[13] Zeshui Xu,et al. An orthogonal clustering method under hesitant fuzzy environment , 2017, Int. J. Comput. Intell. Syst..
[14] P. Samuelson. A Note on Measurement of Utility , 1937 .
[15] Muhammad Shabir,et al. A Novel Approach to Decision Analysis Using Dominance-Based Soft Rough Sets , 2019, Int. J. Fuzzy Syst..
[16] Jiarong Shi,et al. Linguistic hesitant intuitionistic fuzzy cross-entropy measures , 2017, Int. J. Comput. Intell. Syst..
[17] José Carlos Rodriguez Alcantud,et al. Intertemporal Choice of Fuzzy Soft Sets , 2018, Symmetry.
[18] Lu Wang,et al. Robustness of general Triple I method for fuzzy soft sets , 2018, Int. J. Comput. Intell. Syst..
[19] B. Farhadinia,et al. A series of score functions for hesitant fuzzy sets , 2014, Inf. Sci..
[20] Muhammad Akram,et al. Fuzzy N-soft sets: A novel model with applications , 2018, J. Intell. Fuzzy Syst..
[21] Zeshui Xu,et al. Multi-Groups Decision Making using Intuitionistic-valued Hesitant Fuzzy Information , 2016, Int. J. Comput. Intell. Syst..
[22] José Carlos Rodriguez Alcantud,et al. A New Criterion for Soft Set Based Decision Making Problems under Incomplete Information , 2017, Int. J. Comput. Intell. Syst..
[23] Zhen Zhang,et al. Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets , 2017, Comput. Ind. Eng..
[24] José Carlos Rodriguez Alcantud,et al. Separable fuzzy soft sets and decision making with positive and negative attributes , 2017, Appl. Soft Comput..
[25] Muhammad Akram,et al. Group decision-making methods based on hesitant N-soft sets , 2019, Expert Syst. Appl..
[26] Luis Martínez-López,et al. Improving decision making approaches based on fuzzy soft sets and rough soft sets , 2018, Appl. Soft Comput..
[27] D. Molodtsov. Soft set theory—First results , 1999 .
[28] G. Berns,et al. Intertemporal choice – toward an integrative framework , 2007, Trends in Cognitive Sciences.
[29] David I. Laibson,et al. Golden Eggs and Hyperbolic Discounting , 1997 .
[30] Bing Wang,et al. A theoretical development on the entropy of interval-valued intuitionistic fuzzy soft sets based on the distance measure , 2017, Int. J. Comput. Intell. Syst..
[31] Jianming Zhan,et al. A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making , 2016, Soft Computing.
[32] Jianming Zhan,et al. On a novel uncertain soft set model: Z-soft fuzzy rough set model and corresponding decision making methods , 2017, Appl. Soft Comput..
[33] Esfandiar Eslami,et al. A Definition for Hesitant fuzzy Partitions , 2016, Int. J. Comput. Intell. Syst..
[34] B. Farhadinia. Multicriteria Decision Making Method Based on the Higher Order Hesitant Fuzzy Soft Set , 2014, International scholarly research notices.
[35] G. Loewenstein,et al. Anomalies in Intertemporal Choice: Evidence and an Interpretation , 1992 .
[36] Young Bae Jun,et al. An adjustable approach to fuzzy soft set based decision making , 2010, J. Comput. Appl. Math..
[37] Zeshui Xu,et al. Hesitant fuzzy entropy and cross‐entropy and their use in multiattribute decision‐making , 2012, Int. J. Intell. Syst..
[38] Peter A. Diamond,et al. Quasi-Hyperbolic Discounting And Retirement , 2003 .
[39] Zhen Zhang,et al. Additive consistency analysis and improvement for hesitant fuzzy preference relations , 2018, Expert Syst. Appl..
[40] Vicenç Torra,et al. Decomposition theorems and extension principles for hesitant fuzzy sets , 2018, Inf. Fusion.
[41] Zhen Zhang,et al. Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[42] I. Fisher. Die Zinstheorie = the theory of interest : as determined by impatience to spend income and opportunity to invest it , 1930 .
[43] Philip Streich,et al. Time Horizons, Discounting, and Intertemporal Choice , 2007 .
[44] A. R. Roy,et al. A fuzzy soft set theoretic approach to decision making problems , 2007 .
[45] Francisco Herrera,et al. A Historical Account of Types of Fuzzy Sets and Their Relationships , 2016, IEEE Transactions on Fuzzy Systems.