Work place: Department of Statistics, University of Kashmir, Srinagar, India
E-mail: sapezad@gmail.com
Website:
Research Interests: Information Theory, Coding Theory
Biography
Safina Peerzada was born in Srinagar, Jammu and Kashmir, India. They received the B.A. from Government College for Women, M.A. Road, Srinagar in 2010 and received Masters and M.Phil. degrees in Statistics from University of Kashmir, India in 2013 and 2017 respectively.
They have worked as teaching assistant in colleges of Kashmir in 2015. Since July 2017, they are pursuing Ph. D. in department of Statistics, University of Kashmir, Srinagar (India). Their research interests include information theory, coding theory, divergence measures, ‘useful’ information measures, fuzzy information measures and R-norm information measures.
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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