References
1. 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,
Transactions E: Industrial Engineering, 24(5), pp. 2581-2604 (2017).
2. Zadeh, L.A. \Fuzzy sets", Inform. and Control, 8, pp. 338-353 (1965).
3. Attanassov, K.T. \Intuitionistic fuzzy sets", Fuzzy Sets and Systems, 20, pp. 87-96 (1986).
4. Atanassov, K. and Gargov, G. \Interval-valued intuitionistic
fuzzy sets", Fuzzy Sets and Systems, 31, pp. 343-349 (1989).
5. Xu, Z.S. \Intuitionistic fuzzy aggregation operators"
IEEE Trans. of Fuzzy System, 15, pp. 1179-1187
(2007).
6. Xu, Z.S. and Yager, R.R. \Some geometric aggregation
operators based on intuitionistic fuzzy sets", Int. J.
Gen. Syst., 35, pp. 417-433 (2006).
7. Wang, W.Z. and Liu, X.W. \Intuitionistic fuzzy geometric
aggregation operators based on Einstein operations",
Int. J. of Intell. Syst, 26, pp. 1049-1075 (2011).
8. Wang, W. and Liu, X. \Intuitionistic fuzzy information
aggregation using Einstein operations", IEEE Trans.
Fuzzy Systems, 20(5), pp. 923-938 (2012).
9. Garg, H. \Generalized intuitionistic fuzzy interactive
geometric interaction operators using Einstein t-norm
and t-conorm and their application to decision making",
Comput. Ind. Eng, 101, pp. 53-69 (2016).
10. Garg, H., Agarwal, N. and Tripathi, A. \Entropy
based multi-criteria decision making method under
fuzzy environment and unknown attribute weights",
Global Journal of Technology and Optimization, 6, pp.
13-20 (2015).
11. Garg, H. \A new generalized improved score function
of interval-valued intuitionistic fuzzy sets and applications
in expert systems", Appl. Soft Comput., 38, pp.
988-999 (2016).
12. Verma, R. and Sharma, B. \Intuitionistic fuzzy Einstein
prioritized weighted average operators and their
application to multiple attribute group decision making",
Applied Mathematics & Information Sciences,
9(6), pp. 3095-3107 (2015).
13. Xu, Z. and Chen, J. \Approach to group decision making
based on interval valued intuitionistic judgment
matrices", Systems Engineering - Theory and Practice,
27(4), pp. 126-133 (2007).
14. Xu, Z.S. \Methods for aggregating interval-valued
intuitionistic fuzzy information and their application
to decision making", Control and Decision, 22(2), pp.
215-219 (2007).
15. Wei, G. \Some induced geometric aggregation operators
with intuitionistic fuzzy information and their
application to group decision making", Appl. Soft
Comput., 10, pp. 423-431 (2010).
16. Garg, H. \A novel accuracy function under intervalvalued
pythagorean fuzzy environment for solving
multicriteria decision making problem", Journal of
Intelligent and Fuzzy Systems, 31(1), pp. 529-540
(2016).
17. Garg, H. \A novel correlation coecients between
pythagorean fuzzy sets and its applications to decisionmaking
processes", Inter. Intell. Syst, 31(12), pp.
1234-1253 (2016).
18. Garg, H. \A new generalized pythagorean fuzzy information
aggregation using Einstein operations and
its application to decision making", Inter. Intell. Syst,
31(9), pp. 886-920 (2016).
19. Garg, H. \Generalized intuitionistic fuzzy multiplicative
interactive geometric operators and their application
to multiple criteria decision making", Inter. J. of
Mach. Learn. Cybernet, 7(6), pp. 1075-1092 (2016).
20. Wei, G.W. and Merigo, J.M. \Methods for strategic
decision-making problems with immediate probabiliR.
Arora and H. Garg/Scientia Iranica, Transactions E: Industrial Engineering 25 (2018) 466{482 481
ties in intuitionistic fuzzy setting", Scientia Iranica,
19(6), pp. 1936-1946 (2012).
21. 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
22. Wei, G.W. \Some arithmetic aggregation operators
with intuitionistic trapezoidal fuzzy numbers and their
application to group decision making", Journal Comput.,
5(3), pp. 345-351 (2010).
23. Wei, G. and Zhao, X. \An approach to multiple
attribute decision making with combined weight information
in interval-valued intuitionistic fuzzy environmental",
Control Cybernet., 41(1), pp. 97-112 (2012).
24. Molodtsov, D. \Soft set theory - rst results", Computer
and Mathematics with Applications, 27(4-5), pp.
19-31 (1999).
25. Maji, P.K., Biswas, R. and Roy, A.R. \Soft set theory",
Computers and Mathematics with Applications, 45(4-
5), pp. 555-562 (2003).
26. Ali, M., Feng, F., Liu, X., Min, W. and Shabir, M. \On
some new operations in soft set theory", Computer and
Mathematics with Applications, 57(9), pp. 1547-1553
(2009).
27. Maji, P.K., Biswas, R. and Roy, A.R. \Fuzzy soft sets",
Journal Fuzzy Math., 9(3), pp. 589-602 (2001).
28. Maji, P.K., Biswas, R. and Roy, A. \Intuitionistic
fuzzy soft sets", Journal Fuzzy Math., 9(3), pp. 677-
692 (2001).
29. Cagman, N. and Deli, I. \Intuitionistic fuzzy parameterized
soft set theory and its decision making", Appl.
Soft. Comput., 28, pp. 109-113 (2015).
30. Alkhazaleh, S. and Salleh, A.R. \Fuzzy soft expert set
and its application", Appl. Math., 5, pp. 1349-1368
(2014).
31. Yang, H.L. \Notes on generalized fuzzy soft sets",
Journal of Mathematical Research and Exposition,
31(3), pp. 567-570 (2011).
32. Majumdar, P. and Samanta, S.K. \Generalized fuzzy
soft sets", Computers and Mathematics with Applications,
59(4), pp. 1425-1432 (2010).
33. Agarwal, M., Biswas, K.K. and Hanmandlu, M. \Generalized
intuitionistic fuzzy soft sets with applications
in decision-making", Appl. Soft Comput., 13, pp. 3552-
3566 (2013).
34. Majumdar, P. and Samanta, S. \Similarity measure
of soft sets", New Math. Nat. Comput, 4(1), pp. 1{12
(2008).
35. Feng, Q. and Zheng, W. \New similarity measures
of fuzzy soft sets based on distance measures", Ann.
Fuzzy Math. Inform., 7(4), pp. 669-686 (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
Math. Sci., 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", Int. J. Fuzzy Syst.,
17(3), pp. 490-497 (2015).
38. Liu, Z., Qin, K. and Pei, Z. \Similarity measure
and entropy of fuzzy soft sets", The Scientic World
Journal, 2014 Article ID 161607, 10 pages (2014).
39. Garg, H., Agarwal, N. and Tripathi, A. \Fuzzy number
intuitionistic fuzzy soft sets and its properties", Journal
of Fuzzy Set Valued Analysis, 2016(3), pp. 196-213
(2016).
40. Feng, F., Juna, Y.B., Liu, X. and Li, L. \An adjustable
approach to fuzzy soft set based decision making", J.
Comput. Appl. Math., 234(1), pp. 10-20 (2010).
41. 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", Appl. Soft Comput., 54, pp.
415-430 (2017).
42. Yager, R.R. \Prioritized aggregation operators", Internat.
J. Approx. Reason., 48(1), pp. 263-274, (2008).
43. Roy, A.R. and Maji, P.K. \A fuzzy soft set theoretic
approach to decision making problems", J. Comput.
Appl. Math., 203(2), pp. 412-418 (2007).