Generalized Parametric Measure of R-Norm Fuzzy Information
Ambiguity has an important part in the contrary observations around peripheral world. Entropy is basic for estimating unsure data which was first presented by Shannon (1948) to quantify the questionable level of haphazardness in a probability distribution. Fuzzy information measures have been applied widely in the area of decision making. In this paper, generalized parametric measures of R-norm with utilities are defined. Further, fundamental properties are demonstrated to check their legitimacy/legitimacy utilizing numerical examination. Also, monotonic behavior of the proposed measure is also measured.