Dr. R K Bajaj
Associate Professor
Mathematics
Jaypee University of Information Technology
India
Biography
Rakesh Kumar Bajaj received his M.Sc. from the Indian Institute of Technology, Kanpur, India in 2003 and PhD (Mathematics) from Jaypee University of Information Technology (JUIT), Waknaghat, Solan, INDIA in 2009. He is currently working as an Associate Professor in the Department of Mathematics, JUIT, Waknaghat. He joined JUIT Waknaghat on 1st May 2003. His research interests include fuzzy information measures, Intuitionistic Fuzzy Information, pattern recognition and decision making.
Research Interest
Fuzzy Information Measures, Intuitionistic Fuzzy Information, Pattern Recognition, Decision Making
Publications
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Vendor Selection under Intuitionistic Trapezoidal Fuzzy Multiple Criteria Decision Making Model with Entropy Weights†Neeraj Gandotra, Rakesh K Bajaj and Nitin Gupta, IEEE proceedings of Second International conference on Advances in Computing & Communications (ICACC), 2012, 18-21, DOI:10.1109/ICACC.2012.5.
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• “R-norm Intuitionistic Fuzzy Information Measures and its Computational Applications, Rakesh K Bajaj, Tanuj Kumar and Nitin Gupta, Springer: Communications in Computer and Information Science, 2012, Volume 305, Part 8, 372-380, DOI: 10.1007/978-3-642-32112-2 43. (indexed by ISI, DBLP, Ulrich’s, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink etc.)
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“On Partial Monotonic Behaviour of Some Entropy Measuresâ€, Nitin Gupta and Rakesh K Bajaj, Statistics and Probability Letters, Vol.83, 1330-1338, 2013. [Elsevier, Impact Factor:0.553][DOI:10.1016/j.spl.2013.02.001].
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• “Reliability Analysis of k-out-of-n : G System Using Triangular Intuitionistic Fuzzy Numbersâ€, Tanuj Kumar and Rakesh K Bajaj, International Journal of Mathematical, Computational Science and Engineering, Vol:8 No:2, 64 - 70, 2014.[ISSN:1307- 6892, International Science Index 86].
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• “Fuzzy Information Measure in Weighted Fuzzy Linear Regression Model under Linear Restrictions with Simulation Studyâ€, Tanuj Kumar, Rakesh K Bajaj and Nitin Gupta, International Journal of General Systems, Volume 43 (2), 135 - 148, 2014.[Taylor & Francis, Impact Factor: 0.733; DOI:10.1080/03081079.2013.879301]
