Information Measures Based on Sampling Distributions
Information theory and Statistics play an important role in Biological Sciences when we use information measures for the study of diversity and equitability. In this communication, we develop the link among the three disciplines and prove that sampling distributions can be used to develop new information measures. Our study will be an interdisciplinary and will find its applications in Biological systems.
Entropy, concavity, symmetry, arithmetic mean, diversity, equitability.
Applications of Trigonometic Measures of Fuzzy Entropy to Geometry
In the literature of fuzzy measures, there exist many
well known parametric and non-parametric measures, each with its
own merits and limitations. But our main emphasis is on
applications of these measures to a variety of disciplines. To extend
the scope of applications of these fuzzy measures to geometry, we
need some special fuzzy measures. In this communication, we have
introduced two new fuzzy measures involving trigonometric
functions and simultaneously provided their applications to obtain
the basic results already existing in the literature of geometry.
Entropy, Uncertainty, Fuzzy Entropy, Concavity,Symmetry.
Variation of Uncertainty in Steady And Non-Steady Processes Of Queuing Theory
Probabilistic measures of uncertainty have been
obtained as functions of time and birth and death rates in a queuing
process. The variation of different entropy measures has been studied
in steady and non-steady processes of queuing theory.
Uncertainty, steady state, non-steady state, trafficintensity, monotonocity