Application of Generalized Measure of 'Useful' R-norm Inaccuracy and Total Ambiguity
Автор: Saima Manzoor, Safina Peerzada, Mirza A. K. Baig
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 1 vol.13, 2021 года.
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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.
Fuzzy sets, inaccuracy measures, R-norm information measures, 'useful' information measures, total ambiguity measures, multi-criteria decision making
Короткий адрес: https://sciup.org/15017525
IDR: 15017525 | DOI: 10.5815/ijisa.2021.01.02
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