Entropy is the measure of uncertainty in any data and is adopted for maximisation of mutual information in many remote sensing operations. The availability of wide entropy variations motivated us for an investigation over the suitability preference of these versions to specific operations. Methodologies were implemented in Matlab and were enhanced with entropy variations. Evaluation of various ...

The popular Hirsch index is used as a criterion for evaluating the achievements of scientists, departments, universities, and countries. Unfortunately, this index is often unfair in view of various scientific disciplines, can easily be manipulated, so its usefulness is undermined by unfair competition. To address these problems, this paper introduces a set of new popularity indices which evalua...

BACKGROUND The h-index has already been used by major citation databases to evaluate the academic performance of individual scientists. Although effective and simple, the h-index suffers from some drawbacks that limit its use in accurately and fairly comparing the scientific output of different researchers. These drawbacks include information loss and low resolution: the former refers to the fa...

BACKGROUND Although being a simple and effective index that has been widely used to evaluate academic output of scientists, the h-index suffers from drawbacks. One critical disadvantage is that only h-squared citations can be inferred from the h-index, which completely ignores excess and h-tail citations, leading to unfair and inaccurate evaluations in many cases. METHODOLOGY PRINCIPAL FINDIN...

In this paper we maximize the utility of a structural model of the demand for multi-destination non-work travel using maximum entropy method introduced by Shanon. A utility value is assigned when only partial information is available about the decision maker’s preferences. The maximum entropy utility solution embeds a large family of utility functions that includes the most commonly used functi...