Mirza A. K. Baig

Work place: Department of Statistics, University of Kashmir, Srinagar, India

E-mail: baigmak@gmail.com

Website:

Research Interests: Information Theory

Biography

Mirza A. K. Baig was born in Bihar, India. He received the B.Sc. degree in Statistics Honors from Aligarh Muslim University, India in 1983. He has received Masters, M.Phil. and Ph.D. in Statistics from Aligarh Muslim University, India in the years 1985, 1987 and 1995 respectively. His major field of study is Information Theory and Applied Probability.
He has a work experience of 28 years. He was a gold medalist both in graduation and post-graduation. He has guided 7 Ph. D. and 12 M.Phil. scholars till date. He has served as head of the Department of Statistics, University of Kashmir, India, 190006. His research interests include information theory, fuzzy measures, information reliability. He has published more than 70 research papers till date. Presently, he is working as Head & Professor in the Department of Statistics, University of Kashmir, India, 190006.

Author Articles
Application of Generalized Measure of 'Useful' R-norm Inaccuracy and Total Ambiguity

By Saima Manzoor Safina Peerzada Mirza A. K. Baig

DOI: https://doi.org/10.5815/ijisa.2021.01.02, Pub. Date: 8 Feb. 2021

In the present paper, we introduce generalized measure of 'useful' R-norm inaccuracy having two parameters and its analogue 'useful' R-norm total ambiguity measure by merging together the concepts of probability, fuzziness, R-norm, 'useful' information and inaccuracy. Along with the basic properties, some other important properties of these two proposed measures are stated. These measures are generalizations of some well-known inaccuracy measures. Further, the monotonic behaviour of the proposed 'useful' R-norm inaccuracy measures is studied and the graphical overview is given. The measure of information improvement for both the measures is also obtained. Lastly, the application of 'useful' R-norm total ambiguity measure is presented in terms of multi-criteria decision making. For all the numerical calculations R software is used.

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