Dr. Rakesh Kumar Bajaj
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Dr. Rakesh Kumar Bajaj

Assistant Professor
Jaypee University of Information Technology, India

Highest Degree
Ph.D. in Mathematics from Jaypee University, India

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Area of Interest:

Mathematics
100%
Statistics
62%
Applied Mathematics
90%
Image Processing
75%
Fuzzy Mathematics
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Kumar, T., R.K. Bajaj and N. Gupta, 2011. On some parametric generalized measures of fuzzy information, directed divergence and information improvement. Int. J. Comput. Appl., 30: 5-10.
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  2. Gandotra, N., R.K. Bajaj and N. Gupta, 2011. On some reliability properties of mean inactivity time under weighing. Int. J. Comput. Appl., 30: 28-32.
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  3. Gandotra, N., N. Gupta and R.K. Bajaj, 2011. On some reliability properties of residual life and inactivity time of series and parallel system. J. Applied Math., Stat. Inform., (In press). .
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  4. Sharma, K.K., R.K. Bajaj and R. Bhatt, 2010. On study, comparison and implementation of fuzzy algorithm on iris data set. J. Comb. Inform. Syst. Sci., 35: 439-457.
  5. Hooda, D.S. and R.K. Bajaj, 2010. 'Useful' fuzzy measures of information, integrated ambiguity and directed divergence. Int. J. Gen. Syst., 39: 647-658.
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  6. Bhatt, R., R.K. Bajaj and T.S. Lamba, 2010. Utilizing fuzzy clustering for intrusion detection on DARPA data set. Int. J. Comput. Math. Sci. Appl., 4: 1-13.
  7. Bajaj, R.K. and D.S. Hooda, 2010. On some new generalized measures of fuzzy information. World Acad. Sci. Eng. Technol., 62: 747-753.
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  8. Bajaj, R.K. and D.S. Hooda, 2010. Generalized measures of fuzzy directed-divergence, total ambiguity and information improvement. J. Applied Math. Stat. Inform., 6: 31-44.
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  9. Bajaj, R.K., G. Garg and D.S. Hooda, 2009. On restricted fuzzy linear regression model. Int. Rev. Fuzzy Math., 4: 11-23.
  10. Bajaj, R.K., A. Srivastava and D.S. Hooda, 2009. Fuzzy clustering algorithm for testing the convergence of projected per capita GDP of BRIC and G6 countries. Int. J. Math. Applied Stat., 1: 1-12.
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  11. Bajaj, R.K. and A. Srivastava, 2009. Study of output convergence pattern of BRIC economies: Application of fuzzy mathematics. Indiana Univ. Pennsylvania J. Applied Econ., 8: 107-115.
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  12. Hooda, D.S. and R.K. Bajaj, 2008. On generalized R-norm measures of fuzzy information. J. Applied Math. Stat. Inform., 4: 199-212.
  13. Hooda, D.S. and R.K. Bajaj, 2008. Measures of 'useful' fuzzy information, total ambiguity and fuzzy directed divergence. Rajasthan J. Acad. Phys. Sci., 7: 425-440.
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  14. Bajaj, R.K. and D.S. Hooda, 2008. Monotonicity and maximum fuzziness of fuzzy entropy and directed divergence measures. J. Math. Syst. Sci., 4: 37-46.
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  15. Hooda, D.S.and R.K. Bajaj, 2006. Some non-additive generalized information measures and J -divergence. Aligarh J. Stat., 26: 65-79.