References
1. Molodtsov, D. Soft set theory - rst results", Computer and Mathematics with Applications, 27(4-5), pp. 19-31 (1999).
2. Zadeh, L.A. Fuzzy sets", Information and Control, 8, pp. 338-353 (1965).
3. Attanassov, K.T. Intuitionistic fuzzy sets", Fuzzy Sets and Systems, 20, pp. 87-96 (1986).
4. Garg, H. 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, pp. 53-69 (2016).
5. Xu, Z.S. and Hu, H. Projection models for intuitionistic
fuzzy multiple attribute decision making",
International Journal of Information Technology and
Decision Making, 9, pp. 267-280 (2010).
6. Wang, J.Q., Zhou, P., Li, K.J., Zhang, H.Y., and Chen,
X.H. Multi-criteria decision-making method based on
normal intuitionistic fuzzy-induced generalized aggregation
operator", TOP, 22(3), pp. 1103-1122 (2014).
7. Garg, H. A new generalized pythagorean fuzzy information
aggregation using Einstein operations and its
application to decision making", International Journal
of Intelligent Systems, 31(9), pp. 886-920 (2016).
8. Wang, J.Q., Han, Z.Q., and Zhang, H.Y. Multi
criteria group decision-making method based on intuitionistic
interval fuzzy information", Group Decision
and Negotiation, 23, pp. 715-733 (2014).
9. Garg, H. A new generalized improved score function
of interval-valued intuitionistic fuzzy sets and applications
in expert systems", Applied Soft Computing, 38,
pp. 988-999 (2016).
10. Garg, H. A novel correlation coecients between
Pythagorean fuzzy sets and its applications to decisionmaking
processes", International Journal of Intelligent
Systems, 31(12), pp. 1234-1253 (2016).
11. Wang, P., Xu, X.-h., Wang, J.-q., and Cai, C.-G.
Some new operation rules and a new ranking method
for interval-valued intuitionistic linguistic numbers",
Journal of Intelligent and Fuzzy Systems, 32(1), pp.
1069-1078 (2017).
12. Wang, C. and Wang, J. A multi-criteria decisionmaking
method based on triangular intuitionistic fuzzy
preference information", Intelligent Automation and
Soft Computing, 22(3), pp. 473-482 (2016).
13. Garg, H. Some series of intuitionistic fuzzy interactive
averaging aggregation operators", SpringerPlus, 5(1),
pp. 1-27 (2016). DOI: 10.1186/s40064-016-2591-9
14. Peng, J.J., Wang, J.Q., Wu, X.H., Zhang, H.Y., and
Chen, X.H. The fuzzy cross-entropy for intuitionistic
R. Arora and H. Garg/Scientia Iranica, Transactions E: Industrial Engineering 25 (2018) 931{942 941
hesitant fuzzy sets and its application in multi-criteria
decision-making", International Journal of System
Science, 46(13), pp. 2335-2350 (2015).
15. Garg, H., Agarwal, N., and Tripathi, A. Some
improved interactive aggregation operators under
interval-valued intuitionistic fuzzy environment and
its application to decision making process", Scientia
Iranica, E, 24(5), pp. 2581-2604 (2017).
16. Maji, P.K., Biswas, R., and Roy, A.R. Fuzzy soft
sets", Journal of Fuzzy Mathematics, 9(3), pp. 589-602
(2001).
17. Maji, P.K., Biswas, R., and Roy, A. Intuitionistic
fuzzy soft sets", Journal of Fuzzy Mathematics, 9(3),
pp. 677-692 (2001).
18. Cagman, N., Citak, F., and Enginoglu, S. Fuzzy
parameterized fuzzy soft set theory and its applications",
Turkish Journal of Fuzzy System, 1(1), pp. 21-
35 (2010).
19. Cagman, N., Enginoglu, S., and Citak, F. Fuzzy soft
set theory and its applications", Iranian Journal of
Fuzzy System, 8(3), pp. 137-147 (2011).
20. Cagman, N., and Deli, I. Intuitionistic fuzzy parameterized
soft set theory and its decision making",
Applied Soft Computing, 28, pp. 109-113 (2015).
21. Alkhazaleh, S. and Salleh, A.R. Fuzzy soft expert set
and its application", Applied Mathematics, 5, pp. 1349-
1368 (2014).
22. Yang, H.L. Notes on generalized fuzzy soft sets",
Journal of Mathematical Research and Exposition,
31(3), pp. 567-570 (2011).
23. Majumdar, P. and Samanta, S.K. Generalized fuzzy
soft sets", Computers and Mathematics with Applications,
59(4), pp. 1425-1432 (2010).
24. Agarwal, M., Biswas, K.K., and Hanmandlu, M. Generalized
intuitionistic fuzzy soft sets with applications
in decision-making", Applied Soft Computing, 13, pp.
3552-3566 (2013).
25. Dinda, B., Bera, T., and Samanta, T.K. Generalized
intuitionistic fuzzy soft sets and its application in
decision making" (2010).
http://arxiv.org/pdf/1010.2468.pdf
26. Agarwal, M., Hanmandlu, M., and Biswas, K.K. Generalized
intuitionistic fuzzy soft set and its application
in practical medical diagnosis problem", in: IEEE
International Conference on Fuzzy Systems (FUZZ),
pp. 2972-2978 (2011).
27. Garg, H., Agarwal, N., and Tripathi, A. Fuzzy number
intuitionistic fuzzy soft sets and its properties",
Journal of Fuzzy Set Valued Analysis, 2016(3), Article
ID jfsva-00332, pp. 196-213 (2016).
28. Maji, P.K., Biswas, R., and Roy, A.K. On intuitionistic
fuzzy soft sets", Journal of Fuzzy Mathematics,
12(3), pp. 669-683 (2004).
29. Maji, P.K. More on intuitionistic fuzzy soft sets",
Lecture Notes in Computer Science, 5908, pp. 231-240
(2009).
30. Babitha, K.V. and John, S.J. Hesistant fuzzy soft
sets", Journal of New Results in Science, 3, pp. 98-
107 (2013).
31. Jiang, Y., Tang, Y., Chen, Q., Liu, H., and Tang,
J. Interval-valued intuitionistic fuzzy soft sets and
their properties", Computers and Mathematics with
Applications, 60(3), pp. 906-918 (2010).
32. Peng, X. and Yang, Y. Algorithms for interval-valued
fuzzy soft sets in stochastic multi-criteria decision
making based on regret theory and prospect theory
with combined weight", Applied Soft Computing, 54,
pp. 415-430 (2017).
33. Yang, X., Lin, T.Y., Yang, J., Li, Y., and Yu, D.
Combination of interval-valued fuzzy set and soft
set", Computer and Mathematics with Applications,
58(3), pp. 521-527 (2009).
34. Majumdar, P. and Samanta, S. Similarity measure
of soft sets", New Mathematics and Natural Computation,
4(1), pp. 1-12 (2008).
35. Rajarajeswari, P. and Dhanalakshmi, P. Similarity
measures of intuitionistic fuzzy soft sets and its application
in medical diagnosis", International Journal
of Mathematical Archive, 5(5), pp. 143-149 (2014).
36. Mukherjee, A. and Sarkar, S. Similarity measures
for interval-valued intuitionistic fuzzy soft sets and its
application in medical diagnosis problem", New Trends
in Mathematical Sciences, 2(3), pp. 159-165 (2014).
37. Khalid, A. and Abbas, M. Distance measures and
operations in intuitionistic and interval-valued intuitionistic
fuzzy soft set theory", International Journal
of Fuzzy Systems, 17(3), pp. 490-497 (2015).
38. Roy, A.R. and Maji, P.K. A fuzzy soft set theoretic
approach to decision making problems", Journal of
Computational and Applied Mathematics, 203(2), pp.
412-418 (2007).
39. Xu, Z.S. Intuitionistic fuzzy aggregation operators",
IEEE Transaction of Fuzzy System, 15, pp. 1179-1187
(2007).
40. Xu, Z.S. and Yager, R.R. Some geometric aggregation
operators based on intuitionistic fuzzy sets", International
Journal of General Systems, 35, pp. 417-433
(2006).
41. Wang, W. and Liu, X. Intuitionistic fuzzy information
aggregation using Einstein operations", IEEE Transactions
on Fuzzy Systems, 20(5), pp. 923-938 (2012).
42. Wang, W.Z. and Liu, X.W. Intuitionistic fuzzy geometric
aggregation operators based on Einstein operations",
International Journal of Intelligent Systems,
26, pp. 1049-1075 (2011).
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