Prof. (Dr.) Rakesh Kumar Bajaj
Jaypee University of Information Technology, Indian Institute of Technology Kanpur, Banaras Hindu University
About
Prof Rakesh Kumar Bajaj is serving as a Professor and Head in the Department of Mathematics at Jaypee University of Information Technology, Waknaghat, Solan, HP, INDIA. He has 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 in 2009. He had joined JUIT Waknaghat on 1st May 2003. His research interests include fuzzy information measures, Intuitionistic Fuzzy Information, pattern recognition and decision making.
Employment
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Jaypee University of Information Technology Professor & Head2003 - Present
Education
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Indian Institute of Technology Kanpur M.Sc.2000 - 2002
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Banaras Hindu University B.Sc.1997 - 2000
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Jaypee University of Information Technology PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (70)
- A Hamacher aggregation-based MCDM approach for optimal selection of FLIDS in IoT jamming detection under cubic quasirung neutrosophic fuzzy structure Save
- A neutrosophic soft fuzzy TOPSIS model for evaluating wireless contactless sensing in personalized healthcare monitoring Save
- ‘Useful’ Information Measure for Complex Fuzzy Set with Divergence Measure and Computation of Hybrid Ambiguity Save
- Schweizer-Sklar T-Norm Operators for Picture Fuzzy Hypersoft Sets: Advancing Suistainable Technology in Social Healthy Environments Save
- On Quadripartitioned Neutrosophic Hesitant Fuzzy Set and Its Application in a Pattern Recognition Problem Save
- Innovative Evaluation Framework for Consumer Electronics-Enabled Intelligent Transportation Systems: Leveraging $q$-Rung Picture Fuzzy Hypersoft Schweizer-Sklar Aggregation Operators Save
- On clustering and TOPSIS decision-making technique with new trigonometric information measures under T-spherical fuzzy hypersoft structures Save
- For Forensic Analysis of Fraud Detection in Digital Payments Using MCDM-TOPSIS Technique Under New T-Spherical Fuzzy Hypersoft Similarity Measures Save
- Effectiveness of debris flow mitigation measures through T-spherical fuzzy Soft Dombi aggregation operators with EDAS-based multi-criteria decision making in mountainous regions Save
- Distance and Similarity Measures of q-Rung Picture Fuzzy Hypersoft Set with Application in Pattern Analysis Save