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Journal of Industrial and Management Optimization (JIMO)
 

Some robust improved geometric aggregation operators under interval-valued intuitionistic fuzzy environment for multi-criteria decision-making process
Page number are going to be assigned later 2017

doi:10.3934/jimo.2017047      Abstract        References        Full text (489.1K)      

Harish Garg - School of Mathematics and Computer Applications, Thapar University Patiala, Patiala - 147004, Punjab, India (email)

1 K. Atanassov and G. Gargov, Interval-valued intuitionistic fuzzy sets, Fuzzy Sets and Systems, 31 (1989), 343-349.       
2 K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986), 87-96.
3 W.-K. Chen and Y.-T. Chen, Fuzzy optimization in decision making of air quality management, Springer International Publishing, Cham, 2015, 341-363,
4 H. Garg, Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process, Computational and Mathematical Organization Theory, (2017), 1-26.
5 H. Garg, Generalized intuitionistic fuzzy interactive geometric interaction operators using einstein t-norm and t-conorm and their application to decision making, Computer and Industrial Engineering, 101 (2016), 53-69.
6 H. Garg, Generalized intuitionistic fuzzy multiplicative interactive geometric operators and their application to multiple criteria decision making, International Journal of Machine Learning and Cybernetics, 7 (2016), 1075-1092.
7 H. Garg, Generalized pythagorean fuzzy geometric aggregation operators using einstein t-norm and t-conorm for multicriteria decision-making process, International Journal of Intelligent Systems, 32 (2017), 597-630.
8 H. Garg, A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems, Applied Soft Computing, 38 (2016), 988-999.
9 H. Garg, A new generalized Pythagorean fuzzy information aggregation using einstein operations and its application to decision making, International Journal of Intelligent Systems, 31 (2016), 886-920.
10 H. Garg, A novel accuracy function under interval-valued Pythagorean fuzzy environment for solving multicriteria decision making problem, Journal of Intelligent and Fuzzy Systems, 31 (2016), 529-540.
11 H. Garg, A novel approach for analyzing the reliability of series-parallel system using credibility theory and different types of intuitionistic fuzzy numbers, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 38 (2016), 1021-1035.
12 H. Garg, A novel correlation coefficients between Pythagorean fuzzy sets and its applications to decision-making processes, International Journal of Intelligent Systems, 31 (2016), 1234-1253.
13 H. Garg, Some series of intuitionistic fuzzy interactive averaging aggregation operators, SpringerPlus, 5 (2016), 999, doi: 10.1186/s40064-016-2591-9
14 H. Garg, N. Agarwal and A. Tripathi, Entropy based multi-criteria decision making method under fuzzy environment and unknown attribute weights, Global Journal of Technology and Optimization, 6 (2015), 13-20.
15 M. Gupta, Group Decision Making in Fuzzy Environment - An Iterative Procedure Based on Group Dynamics, Springer International Publishing, Cham, 2015.
16 H. Hamacher, Uber logistic verknunpfungenn unssharfer aussagen und deren zugenhoringe bewertungsfunktione, Progress in Cybernatics and Systems Research, 3 (1978), 276-288.
17 Y. He, H. Chen, L. Zhou, B. Han, Q. Zhao and J. Liu, Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making, Expert Systems with Applications, 41 (2014), 2484-2495.
18 K. Kumar and H. Garg, TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment, Computational and Applied Mathematics, (2016), 1-11, doi: 10.1007/s40314-016-0402-0
19 W. Li and C. Zhang, Decision Making-Interactive and Interactive Approaches, Springer International Publishing, Cham, 2015,
20 P. Liu, Some hamacher aggregation operators based on the interval-valued intuitionistic fuzzy numbers and their application to group decision making, IEEE Transactions on Fuzzy Systems, 22 (2013), 83-97.
21 Nancy and H. Garg, An improved score function for ranking neutrosophic sets and its application to decision-making process, International Journal for Uncertainty Quantification, 6 (2016), 377-385.
22 Nancy and H. Garg, Novel single-valued neutrosophic decision making operators under frank norm operations and its application, International Journal for Uncertainty Quantification, 6 (2016), 361-375.
23 S. Singh and H. Garg, Distance measures between type-2 intuitionistic fuzzy sets and their application to multicriteria decision-making process, Applied Intelligence, 46 (2017), 788-799.
24 W. Wang and X. Liu, Some interval-valued intuitionistic fuzzy geometric aggregation operators based on einstein operations, in 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012, 604-608.
25 W. Wang and X. Liu, The multi-attribute decision making method based on interval-valued intuitionistic fuzzy einstein hybrid weighted geometric operator, Computers and Mathematics with Applications, 66 (2013), 1845-1856.       
26 G. Wei and X. Wang, Some geometric aggregation operators based on interval - valued intuitionistic fuzzy sets and their application to group decision making, in Proceedings of the IEEE international conference on computational intelligence and security, 2007, 495-499.
27 Z. Xu and J. Chen, Approach to group decision making based on interval valued intuitionistic judgment matrices, Systems Engineering - Theory and Practice, 27 (2007), 126-133.
28 Z. S. Xu, Intuitionistic fuzzy aggregation operators, IEEE Transaction of Fuzzy System, 15 (2007), 1179-1187.
29 Z. S. Xu, Intuitionistic preference relations and their application in group decision making, Information Sciences, 177 (2007), 2363-2379.       
30 Z. S. Xu, Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making, Control and Decision, 22 (2007), 215-219.
31 Z. Xu and J. Chen, On geometric aggregation over interval-valued intuitionistic fuzzy information, in Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on, 2 (2007), 466-471.
32 Z. Xu and X. Gou, An overview of interval-valued intuitionistic fuzzy information aggregations and applications, Granular Computing, 2 (2017), 13-39.
33 Z. Xu and H. Wang, Managing multi-granularity linguistic information in qualitative group decision making: An overview, Granular Computing, 1 (2016), 21-35.
34 X. Zhao and G. Wei, Some intuitionistic fuzzy einstein hybrd aggregation operators and their application to multiple attribute decision making, Knowledge Based Systems, 37 (2013), 472-479.

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