- IJARW | ISSN NO (ONLINE) : 2582-1008
| Qualification: | Ph. D. |
| Department: | Mathematics |
| Designation : | Assistant Professor |
Operations Research, Decision making in uncertain ( fuzzy, neutrosophic) environment
Assistant Professor: 12 years
Act as
Supervision of research work (Ph. D.) in mathematics
Title of the thesis: Some studies on linear and non-linear bi-level programming problems in fuzzy environment
(Awarded on 08/04/2015) by Jadavpur University
2. Durga Banerjee
Title of the thesis: Some studies on decision making in an uncertain environment.
(Awarded on 08/09/2017) by Jadavpur University
3. Pranab Biswas
Title of the thesis: Multi attribute decision making in neutrosophic environment.
(Awarded on 20/02/2018) Jadavpur University
Title of the thesis: “Some Studies on Neutrosophic Decision Making”.
(Awarded on 02/04/2019) by Indian Institute of Engineering Science and Technology, Shibpur
supervision of
number of editorial book: two
Editorial Book
Book chapter: 4
Book Chapters:
|
|
research papers: 134
134. Biswas, P., Pramanik, S., & Giri, B. C. (2019). Non-linear programming approach for single-valued neutrosophic TOPSIS method. New Mathematics and Natural Computation doi: 10.1142/S1793005719500169
133. Biswas, P., Pramanik, S., & Giri, B. C. (2019). NH-MADM Strategy in Neutrosophic Hesitant Fuzzy Set Environment Based on Extended GRA. Informatica, 30 (2), 1–30.
132. Guha, D., & Pramanik, S. (2019). A comparative study on philosophy of mathematics education in China, and India. Sanshodhan Chetana, 8 (1), 69-86.
131. Pramanik, S., & Mallick, R.(2019). TODIM strategy for multi-attribute group decision making in trapezoidal neutrosophic number environment. Complex & Intelligent Systems, https://doi.org/10.1007/s40747-019-0110.
130. Pramanik, S., & Mallick, R.(2018). VIKOR based MAGDM strategy with trapezoidal neutrosophic numbers. Neutrosophic Sets and Systems, 22, 118-130.
129. Pramanik, S., & Guha, D.(2018). Professional development of secondary mathematics teachers in India and China: a comparative study. Sanshodhan Chetana, 7 (3) 97-110.
128. Pramanik, S., &Dey, P.P. (2018). Bi-level linear programming problem with neutrosophic numbers.Neutrosophic Sets and Systems, 21, 110-121. https://doi.org/10.5281/zenodo.1408669
127.Pramanik, S.,& Dalapati, S.(2018). A revisit to NC-VIKOR based MAGDM strategy in neutrosophic cubic set environment.Neutrosophic Sets and Systems, 21, 131-141.https://doi.org/10.5281/zenodo.1408665
126. Pramanik, S., Banerjee, D. (2018). Neutrosophic number goal programming for multi-objective linear programming problem in neutrosophic number environment. MOJ Current Research & Review, 1(3), 135-141.doi:10.15406/mojcrr.2018.01.00021
125. Banerjee, D. Pramanik, S (2018). Single-objective linear goal programming problem with neutrosophic numbers. International Journal of Engineering Science & Research Technology, 7(5), 454-469.
124. Pramanik, S., Mallick, R., &Dasgupta, A. (2018). Contributions of selected Indian researchers to multi-attribute decision making in neutrosophic environment. Neutrosophic Sets and Systems, 20, 108-131. http://doi.org/10.5281/zenodo.1284870
123. Pramanik, S., Dalapati, S., Alam, S & Roy, T.K. (2018). NC-VIKOR based MAGDM strategy under neutrosophic cubic set environment. Neutrosophic Sets and Systems,20,95-108.http://doi.org/10.5281/zenodo.1235367
122. Mondal, K., Pramanik, S., & Giri, B. C. (2018). Single valued neutrosophic hyperbolic sine similarity measure based MADM strategy. Neutrosophic Sets and Systems,20,3-11.http://doi.org/10.5281/zenodo.1235383
121. Mondal, K., Pramanik, S., & Giri, B. C. (2018). Hybrid binary logarithm similarity measure for MAGDM problems under SVNS assessments. Neutrosophic Sets and Systems,20,12-25.http://doi.org/10.5281/zenodo.1235365
120. Pramanik, S., Maiti, I., & Mandal, T. (2018). A Taylor series based fuzzy mathematical approach for multi objective linear fractional programming problem with fuzzy parameters. International Journal of Computer Applications, 180(45), 22-29.
119. Pramanik, S., Roy, R., Roy, T. K., & Smarandache, F. (2018). Multi-attribute decision making based on several trigonometric hamming similarity measures under interval rough neutrosophic environment. Neutrosophic Sets and Systems,19,110-118.http://doi.org/10.5281/zenodo.1235207
118. Pramanik, S., Roy, R., & Roy, T. K. (2018). Multi criteria decision making based on projection and bidirectional projection measures of rough neutrosophic sets. Neutrosophic Sets and Systems, 19,101-109.http://doi.org/10.5281/zenodo.1235211
117. Pramanik, S., Dey, P.P., & Smarandache, F. (2018). Correlation coefficient measures of interval bipolar neutrosophic sets for solving multi-attribute decision making problems. Neutrosophic Sets and Systems, 19,70-79.http://doi.org/10.5281/zenodo.1235151
116. Pramanik, S., Dalapati, S., Alam, S & Roy, T.K. (2018). VIKOR based MAGDM strategy under bipolar neutrosophic set environment Neutrosophic Sets and Systems, 19,57-69.http://doi.org/10.5281/zenodo.1235341
115. Mondal, K., Pramanik, S., & Giri, B. C. (2018). Interval neutrosophic tangent similarity measure based MADM strategy and its application to MADM problems. Neutrosophic Sets and Systems, 19,47-56.http://doi.org/10.5281/zenodo.1235201
114. Biswas, P., Pramanik, S., & Giri, B. C. (2018). Distance measure based MADM strategy with interval trapezoidal neutrosophic numbers. Neutrosophic Sets and Systems, 19,40-46.
113. Biswas, P., Pramanik, S., & Giri, B. C. (2018). TOPSIS strategy for multi-attribute decision making with trapezoidal numbers. Neutrosophic Sets and Systems,19,29-39.
112. Broumi, S., Bakali, A., Talea, M., Smarandache, F., Uluçay, V., Sahin, S., Dey, A., Dhar, M., Tan, R. P., de Oliveira, A., & Pramanik, S. (2018).Neutrosophic sets: An overview. In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 403-434). Brussels: Pons Editions.
111. Pramanik, S., Roy, R., & Roy, T. K. (2018). Multi criteria decision making based on projection and bidirectional projection measures of rough neutrosophic sets. In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 175-187). Brussels: Pons Editions.
110. Pramanik, S., Dey, P. P., & Giri, B. C. (2018). Hybrid vector similarity measure of single valued refined neutrosophic sets to multi-attribute decision making problems. In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 156-174). Brussels: Pons Editions.
109. Pramanik, S., Dalapati, S., Alam, S & Roy, T. K. (2018). TODIM method for group decision making under bipolar neutrosophic set environment. In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 140-155). Brussels: Pons Editions.
108. Mondal, K., Pramanik, S., & Giri, B. C. (2018). Multi-criteria group decision making based on linguistic refined neutrosophic strategy.In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 125-139). Brussels: Pons Editions.
107. Biswas, P., Pramanik, S., & Giri, B. C. (2018). Multi-attribute group decision making based on expected value of neutrosophic trapezoidal numbers.In F. Smarandache, & S. Pramanik (Eds., vol.2), New trends in neutrosophic theory and applications (pp. 103-124). Brussels: Pons Editions.
106. Pramanik, S., Dalapati, S., Alam, S., Smarandache, S., & Roy, T.K. (2018). NC-cross entropy based MADM strategy in neutrosophic cubic set environment.Mathematics, 6 (5), 67. https://doi.org/10.3390/math6050067.
105. Pramanik, S., Dalapati, S., Alam, S., Smarandache, S., & Roy, T.K. (2018). NS-cross entropy based MAGDM under single valued neutrosophic set environment. Information, 9(2), 37; doi:10.3390/info9020037.
104. Mondal, K., Pramanik, S., & Smarandache, F. NN-harmonic mean aggregationoperators-based MCGDM strategy in aneutrosophic number environment. Axioms 2018, 7, 12; doi:10.3390/axioms7010012
103. Dalapati, S., Pramanik, S., Alam, S., Smarandache, S., & Roy, T.K. (2017). IN-cross entropy based magdm strategy under interval neutrosophic set environment. Neutrosophic Sets and Systems,18, 43-57. http://doi.org/10.5281/zenodo.1175162
102. Pramanik, S., Dalapati, S., Alam, S. & Roy, T.K. (2017). NC-TODIM-based MAGDM under a neutrosophic cubic set environment. Information, 8, 149. doi:10.3390/info8040149.
101.Pramanik, S., Dalapati, S, Alam, S., & Roy, T. K. (2017). Some operations and properties of neutrosophic cubic soft set. Global Journal of Research and Review, 4(2), 1-8. doi: 10.21767/2393-8854.100014.
100. Pramanik, S., Roy, R., Roy, T. K. & Smarandache, F. (2017). Multi criteria decision making using correlation coefficient under rough neutrosophic environment. Neutrosophic Sets and Systems,17, 29-36.
99. Pramanik, S., Dalapati, S, Alam, S., & Roy, T. K. (2017).Neutrosophic cubic MCGDM method based on similarity measure. Neutrosophic Sets and Systems,16, 44-56.
97. Banerjee, D., Giri, B. C., Pramanik, S., & Smarandache, F. (2017). GRA for multi attribute decision making in neutrosophic cubic set environment. Neutrosophic Sets & Systems, 15, 60-69.
96. Mondal, K., Pramanik, S. & Smarandache, F. (2016). Rough neutrosophic TOPSIS for multi-attribute group decision making. Neutrosophic Sets and Systems, 13, 105-117.
95. Mondal, K., Pramanik, S. & Smarandache, F. (2016). Multi-attribute decision making based on rough neutrosophic variational coefficient similarity measure. Neutrosophic Sets and Systems,13, 3-17.
94. Pramanik, S. (2016). Neutrosophic multi-objective linear programming. Global Journal of Engineering Science and Research Management, 3(8), 36-46.
93. Pramanik, S., Dalapati, S., & Roy, T. K, (2016). Logistics center location selection approach based on neutrosophic multi-criteria decision making. In F. Smarandache, & S. Pramanik
92. Pramanik, S., Banerjee, D., & Giri, B.C. (2016). TOPSIS approach for multi attribute group decision making in refined neutrosophic environment. In F. Smarandache, & S. Pramanik (Eds.), New trends in neutrosophic theory and applications (pp. 79-91). Brussels: Pons Editions.(Eds.), New trends in neutrosophic theory and applications (pp. 161-174). Brussels: Pons Editions.
91. Mondal, K., Pramanik, S., & Smarandache, F. (2016). Several trigonometric Hamming similarity measures of rough neutrosophic sets and their applications in decision making. In F. Smarandache, & S. Pramanik (Eds), New trends in neutrosophic theory and application (pp. 93-103). Brussels, Belgium: Pons Editions.
90. Dey, P.P., S. Pramanik, & Giri, B.C. (2016). TOPSIS for solving multi-attribute decision making problems under bi-polar neutrosophic environment. In F. Smarandache, & S. Pramanik (Eds), New trends in neutrosophic theory and applications (pp. 65-77). Brussels: Pons Editions.
89. Biswas, P., Pramanik, S., & Giri, B. C. (2016). GRA method of multiple attribute decision making with single valued neutrosophic hesitant fuzzy set information. In F. Smarandache, & S. Pramanik (Eds), New trends in neutrosophic theory and applications (pp. 55-63). Brussels: Pons Editions.
88. Biswas, P., Pramanik, S., & Giri, B. C. (2016). Some distance measures of single valued neutrosophic hesitant fuzzy sets and their applications to multiple attribute decision making. In F. Smarandache, & S. Pramanik (Eds), New trends in neutrosophic theory and applications (pp. 55-63). Brussels: Pons Editions.
87. Mondal, K., Pramanik, S., & Smarandache, F. (2016). Role of neutrosophic logic in data mining. In F. Smarandache, & S. Pramanik (Eds), New trends in neutrosophic theory and application (pp. 15-23). Brussels, Belgium: Pons Editions.
86. Biswas, P, Pramanik, S. & Giri, B.C. (2016). Aggregation of triangular fuzzy neutrosophic set information and its application to multi-attribute decision making. Neutrosophic Sets and Systems, 12, 20-40.
85. Biswas, P, Pramanik, S. & Giri, B.C. (2016). Value and ambiguity index based ranking method of single-valued trapezoidal neutrosophic numbers and its application to multi-attribute decision making. Neutrosophic Sets and Systems, 12, 127-138.
84. Pramanik, S. (2016). Neutrosophic linear goal programming. Global Journal of Engineering Science and Research Management, 3(7), 01-11.
83. Pramanik, S. & Mondal, K. (2016). Rough bipolar neutrosophic set. Global Journal of Engineering Science and Research Management, 3(6), 71-81.
82. Pramanik, S., Banerjee, D., & Giri, B.C. (2016). TOPSIS approach to chance constrained multi - objective multi- level quadratic programming problem. Global Journal of Engineering Science and Research Management, 3(6), 19-36.
81. Pramanik, S., Banerjee, D., & Giri, B.C. (2016). Multi – criteria group decision making model in neutrosophic refined set and its application. Global Journal of Engineering Science and Research Management,3(6), 12-18.
80. Pramanik, S., & Dalapati, S. (2016). GRA based multi criteria decision making in generalized neutrosophic soft set environment. Global Journal of Engineering Science and Research Management, 3(5), 153-169.
79. Dey, P. P., Pramanik, S. & Giri, B. C. (2016). Neutrosophic soft multi-attribute group decision making based on grey relational analysis method. Journal of New Results in Science, 10, 25-37.
78. Dey, P. P., Pramanik, S. & Giri, B. C. (2016). An extended grey relational analysis based multiple attribute decision making in interval neutrosophic uncertain linguistic setting. Neutrosophic Sets and Systems, 11, 21-30.
77. Dey, P. P., Pramanik, S. & Giri, B. C. (2016). Neutrosophic soft multi-attribute decision making based on grey relational projection method. Neutrosophic Sets and Systems, 11, 98-106
76. Banerjee, D., Mondal, K., & Pramanik, S. (2016). Fuzzy goal programming approach for soil allocation problem in brick-fields-a case study. Global Journal of Engineering Science and Research Management, 3(3), 1-116.
75. Dey, P. P., Pramanik, S. & Giri, B. C. (2015). Multi-criteria group decision making in intuitionistic fuzzy environment based on grey relational analysis for weaver selection in Khadi institution. Journal of Applied and Quantitative Methods, 10(4), 1-14.
74. Mondal, K., & Pramanik, S. (2015). Neutrosophic refined similarity measure based on tangent function and its application to multi attribute decision making. Journal of New Theory, 8, 41-50.
73. Mondal, K., & Pramanik, S. (2015). Tri-complex rough neutrosophic similarity measure and its application in multi-attribute decision making. Critical Review, 11, 26-40.
72. Dey, P. P., Pramanik, S. & Giri, B. C. (2015). Generalized neutrosophic soft multi-attribute group decision making based on TOPSIS. Critical Review, 11, 41-55.
71. Pramanik, S., Biswas, P., & Giri, B. C. (2015). Hybrid vector similarity measures and their applications to multi-attribute decision making under neutrosophic environment. Neural Computing and Applications, 28 (5), 1163-1176. DOI 10.1007/s00521-015-2125-3.
70. Dey, P. P., Pramanik, S. & Giri, B. C. (2015). An extended grey relational analysis based interval neutrosophic multi-attribute decision making for weaver selection. Journal of New Theory 9, 82-93.
69. Mondal, K. & Pramanik, S. (2015). Decision making based on some similarity measures under interval rough neutrosophic environment. Neutrosophic Sets and Systems 10, 46-57.
68. Pramanik, S., Dey, P. P. & Giri, B. C. (2015). TOPSIS for single valued neutrosophic soft expert set based multi-attribute decision making problems. Neutrosophic Sets and Systems, 10, 88-95.
67. Pramanik, S., & Mondal, K. (2015). Interval neutrosophic multi-attribute decision-making based on grey relational analysis. Neutrosophic Sets and Systems, 9, 13-22.
66. Mondal, K., & Pramanik, S. (2015). Neutrosophic decision making model for clay-brick selection in construction field based on grey relational analysis. Neutrosophic Sets and Systems,9, 64-71.
65. Mondal, K., & Pramanik, S. (2015). Neutrosophic tangent similarity measure and its application to multiple attribute decision making. Neutrosophic Sets and Systems, 9, 80-87.
64. Pramanik, S. (2015). Multilevel programming problems with fuzzy parameters: a fuzzy goal programming approach. International Journal of Computer Applications, 122(21), 34-41.
63. Pramanik, S., & Mondal, K. (2015). Some rough neutrosophic similarity measures and their application to multi attribute decision making. Global Journal of Engineering Science and Research Management, 2 (7), 61-74.
62. Pramanik, S., Banerjee, D., & Giri, B.C (2015). Chance constrained multi-level linear programming problem. International Journal of Computer Applications,120 (18), 01-06.
61. Pramanik, S., Banerjee, D., & Giri, B.C (2015). Multi-level multi-objective linear plus linear fractional programming problem based on FGP approach. International Journal of Innovative Science Engineering and Technology, 2 (6), 153-160.
60. S. Pramanik, and K. Mondal. (2015). Cotangent similarity measure of rough neutrosophic sets and its application to medical diagnosis. Journal of New Theory, 4, 90-102.
59. P. Biswas, S. Pramanik, B.C. Giri. (2015). TOPSIS method for multi-attribute group decision making under single-valued neutrosophic environment. Neural Computing and Applications, 27(3), 727-737. doi: 10.1007/s00521-015-1891-2.
58. Mondal, K., & Pramanik, S. (2015). Rough neutrosophic multi-attribute decision-making based on rough accuracy score function. Neutrosophic Sets and Systems 8, 16-22.
57. Pramanik, S., & Mondal, K. (2015). Weighted fuzzy similarity measure based on tangent function and its application to medical diagnosis. International Journal of Innovative Research in Science, Engineering and Technology, 4 (2), 158-164.
56. Pramanik, S., & Mondal, K. (2015). Cosine similarity measure of rough neutrosophic sets and its application in medical diagnosis. Global Journal of Advanced Research, 2(1), 212-220.
55. S. Pramanik, Durga Banerjee, B.C. Giri. (2015). Multi-objective chance constrained transportation problem with fuzzy parameters. Global Journal of Advanced Research, 2(1), 49-63.
54. Biswas, P., Pramanik, S., & Giri, B.C. (2015). Cosine similarity measure based multi-attribute decision-making with trapezoidal fuzzy neutrosophic numbers. Neutrosophic Sets and Systems,8, 46-56.
53.Mondal,K., Pramanik, S. (2015). Application of grey system theory in predicting the number of deaths of women by committing suicide-a case study. Journal of Applied and Quantitative Methods, 10 (1), 48-55.
52. Mondal, K., &Pramanik, S. (2015). Rough neutrosophic multi-attribute decision-making based on grey relational analysis. Neutrosophic Sets and Systems, 7, (2015), 8-17.
51. Mondal, K., &Pramanik, S. (2015). Neutrosophic decision making model of school choice. Neutrosophic Sets and Systems, 7 (2015), 62-68.
50. Mondal, K, & Pramanik, S. (2015). Intuitionistic fuzzy similarity measure based on tangent function and its application to multi-attribute decision making. Global Journal of Advanced Research 2(2), 464-471.
49. Mondal, K., &Pramanik, S. (2015) Neutrosophic refined similarity measure based on cotangent function and its application to multi-attribute decision making. Global Journal of Advanced Research, 2(2), 486-494.
48. Mondal, K., &Pramanik, S. (2014). Multi-criteria group decision making approach for teacher recruitment in higher education under simplified neutrosophic environment. Neutrosophic Sets and Systems, 6, 28-34.
47. Mondal, K., &Pramanik, S. (2014). A Study on Problems of Hijras in West Bengal Based on Neutrosophic Cognitive Maps. Neutrosophic Sets and Systems5, 21-26.
46. Mondal, K., &Pramanik, S. (2014). Intuitionistic fuzzy multicriteria group decision making approach to quality-brick selection problem. Journal of Applied Quantitative Methods, 9(2), 35-50.
45. Dey, P.P., Pramanik, S., & Giri, B.C. (2014). TOPSIS approach to linear fractional bi-level MODM problem based on fuzzy goal programming. Journal of Industrial and Engineering International, 10(4), 173-184. doi: 10.1007/s40092-014-0073-7.
44. Dey, P.P., Pramanik, S., & Giri, B.C.. (2014). Multilevel fractional programming problem based on fuzzy goal programming. International Journal of Innovative Research in Technology & Science,2(4), 17-26.
43. Biswas, P, Pramanik, S. & Giri, B.C. (2014). A study on information technology professionals’ health problem based on intuitionistic fuzzy cosine similarity measure. Swiss Journal of Statistical & Applied Mathematics, 2 (1), 44-50.
42 Biswas, P, Pramanik, S. & Giri, B.C. (2014). A new methodology for neutrosophic multi-attribute decision-making with unknown weight information. Neutrosophic Sets and Systems, 3, 42-50.
41 Biswas, P, Pramanik, S. & Giri, B.C. (2014). Entropy based grey relational analysis method for multi-attribute decision making under single valued neutrosophic assessments. Neutrosophic Sets and Systems, 2, 102-110.
40. Pramanik, S., & Roy, T.K. (2014). Neutrosophic game theoretic approach to Indo-Pak conflict over Jammu-Kashmir. Neutrosophic Sets and Systems, 2, 82-101.
39. Pramanik, S., &Chackrabarti, S.N. (2013). A study on problems of construction workers in West Bengal based on neutrosophic cognitive maps. International Journal of Innovative Research in Science, Engineering and Technology, 2(11), 6387-6394.
38. Pramanik, S., & Roy, T.K. (2013). Game theoretic model to the Jammu-Kashmir conflict between India and Pakistan. International Journal of Mathematical Archive, 4(8)162-170.
37. Dey, P. P., Pramanik, S., & Giri, B.C. (2013). Fuzzy goal programming algorithm for solving bi-level multi-objective linear fractional programming problems, International Journal of Mathematical Archive, 4(8), 154-161.
36. Pramanik, S. (2013). A critical review of Vivekanada’s educational thoughts for women education based on neutrosophic logic, MS Academic, 3(1), 191-198.
35. S. Pramanik. (2012). Bilevel programming problem with fuzzy parameter: a fuzzy goal programming approach. Journal of Applied Quantitative Methods, 7(1), 09-24.
34. Pramanik, S., Banerjee, D., & Giri, B.C. (2012). Chance constrained linear plus linear fractional bi-level programming problem. International Journal of Computer Applications, 56(16), 34-39.
33. Pramanik, S., & Banerjee, D. (2012). Chance constrained quadratic bi-level programming problem. International Journal of Modern Engineering Research, 2(4), 2417-2424. htpp://www.ijmer.com/papers/Vol2_Issue4/CJ2424172423.pdf, ISSN: 2249-6645. IC Value:5:09
32. Pramanik, S., & Biswas, P. (2012). Multi-objective assignment problem with generalized trapezoidal fuzzy numbers”. International Journal of Applied Information Systems, 2(6), 13-20.
31. Banerjee, D., & Pramanik, S. (2012). Goal programming approach to chance constrained multi-objective linear fractional programming problem based on Taylor’s series approximation. International Journal of Computers & Technology, 2(2), 77-80.
30. Banerjee, D., & Pramanik, S. (2012). Chance Constrained multi-objective linear plus linear fractional programming problem based on Taylor’s series approximation. International Journal of Engineering Research and Development, 1(3) 55-62.
29. Pramanik, S., & Banerjee, D. (2012). Multi-objective chance constrained capacitated transportation problem based on fuzzy goal programming. International Journal of Computer Applications, 44(20), 42-46.
28. Pramanik, S., Dey, P. P., & Roy, T.K. (2012). Fuzzy goal programming approach to linear fractional bilevel decentralized programming problem based on Taylor series approximation. The Journal of Fuzzy Mathematics, 20 (1), 23-238.
27. Pramanik, S., Dey, P. P., & Roy, T.K. (2011). Bilevel programming in an intuitionistic fuzzy environment. Journal of Technology, XXXXII, 103-114
26. Pramanik, S., Dey, P. P., & Giri. B. C. (2011). Decentralized bilevelmultiobjective programming problem with fuzzy parameters based on fuzzy goal programming. Bulletin of Calcutta Mathematical Society, 103 (5), 381—390.
25. Biswas, P., & Pramanik, S. (2011). Fuzzy ranking method to assignment problem with fuzzy costs. International Journal of Mathematical Archive, 2(12), 2549-2560.
24. Pramanik, S. Biswas, P. (2011). Priority based fuzzy goal programming method for solving multi-objective assignment problem with fuzzy parameters. International Journal of Mathematics and Computational Methods in Science & Technology,1(6), 14-26.
23. Pramanik, S., & Mukhopadhyaya, D. (2011). Grey relational analysis based intuitionistic fuzzy multi criteria group decision-making approach for teacher selection in higher education. International Journal of Computer Applications, 34(10), 21-29.
22. Dey, P. P., & Pramanik, S. (2011). Goal programming approach to linear fractional bilevel programming problem based on Taylor series approximation. International Journal of Pure and Applied Sciences and Technology, 6(2), 115-123.
21. Biswas, P., & Pramanik, S. (2011). Replacement problem with grey parameters. International Journal of Computer Applications, 32(9), 11-16.
20. Pramanik, S., & Dey, P.P. (2011). Multi-objective quadratic programming problem based on fuzzy goal programming. International Journal of Pure and Applied Sciences and Technology, 6(1), 45-53.
19. Pramanik, S., & Dey, P.P. (2011). Multi-objective linear fractional programming problem based on fuzzy goal programming. International Journal of Mathematical Archive, 2 (10) 1875-1881.
18. Pramanik, S., & Dey, P.P. (2011). Multi-objective linear plus linear fractional programming problem based on Taylor series approximation. International Journal of Computer Applications, 32 (8), 61-68.
17. Pramanik, S., & Dey, P.P. (2011). Quadratic bi-level programming problem based on fuzzy goal programming approach. International Journal of Software Engineering & Applications, 2(4), 41-59.
16. Biswas, P., & Pramanik, S. (2011). Fuzzy approach to replacement problem with value of money changes with time. International Journal of Computer Applications, 30 (10) 28-33.
15 Pramanik, S., & Dey, P.P. (2011). Bi-level multi-objective programming problem with fuzzy parameters. International Journal of Computer Applications, 30 (10) 13-20.
14. Biswas, P., & Pramanik, S. (2011). Multi-objective assignment problem with fuzzy costs for the case military affairs. International Journal of Computer Applications, 30 (10), 7-12.
13. Pramanik, S., & Dey, P.P. (2011). A priority based fuzzy goal programming to multi-objective linear fractional programming problem. International Journal of Computer Applications, 30 (10), 01-06.
12. Pramanik, S., Dey, P. P., & Giri, B.C. (2011). Fuzzy goal programming approach to quadratic bi-level multi-objective programming problem. International Journal of Computer Applications, 29 (6), 09-14.
11. Pramanik, S., & Dey, P.P. (2011). Multi-objective quadratic programming problem: a priority based fuzzy goal programming. International Journal of Computer Applications, 26 (10), 30-35.
10. Biswas, P., & Pramanik, S. (2011). Application of fuzzy ranking method to determine the replacement time for fuzzy replacement problem. International Journal of Computer Applications, 25 (11), 41-47.
9. Pramanik, S., & Dey, P.P. (2011). Bi-level linear fractional programming problem based on fuzzy goal programming approach. International Journal of Computer Applications, 25 (11), 34-40.
8. Pramanik, S., & Roy, T. K. (2008). Multiobjective transportation model with fuzzy parameters: a priority based fuzzy goal programming. Journal of Transportation Systems Engineering and Information Technology, 8 (3) 40-48.
7 Pramanik, S., & Roy, T. K. (2007). Fuzzy goal programming approach to multilevel programming problems. European Journal of Operational Research, 176 (2) 1151-1166. doi:10.1016/j.ejor.2005.08.024
6. Pramanik, S., & Roy, T. K. (2007). An intuitionistic fuzzy goal programming approach for a quality control problem: a case study. Tamsui Oxford Journal of Management Sciences, 23 (3), 1-18.
5 Pramanik, S., & Roy, T. K. (2007). Intuitionist fuzzy goal programming and its application in solving multi-objective transportation problem. Tamsui Oxford Journal of Management Sciences, 23 (1), 1-17.
4. Pramanik, S., & Roy, T. K. (2006). A fuzzy goal programming technique for solving multi-objective transportation problem. Tamsui Oxford Journal of Management Sciences, 22 (1), 67-89.
3. Pramanik, S., & Roy, T. K. (2005). An intuitionistic fuzzy goal programming approach to vector optimization problem. Notes on Intuitionistic Fuzzy Sets, 11(5), 1-14.
2. Pramanik, S., & Roy, T. K. (2005.) A goal programming procedure for solving unbalanced transportation problem having multiple fuzzy goals. Tamsui Oxford Journal of Management Sciences, 21(2), 37-52.
1. Pramanik, S., & Roy, T. K. (2005). A fuzzy goal programming approach for multi-objective capacitated transportation problem. Tamsui Oxford Journal of Management Sciences, 21(1), 75-88.
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