Florentin Smarandache Sukanto Bhattacharya

A Proposed Artificial Neural Network Classifier to Identify Tumor Metastases

Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation

This paper investigates the efficiency of an alternative to ratio estimator under the super population model with uncorrelated errors and a gamma-distributed auxiliary variable. Comparisons with usual ratio and unbiased estimators are also made.

Conditional probability of actually detecting a financial fraud – a neutrosophic extension to Benford’s law

______________________________________________________ This study actually draws from and builds on an earlier paper (Kumar and Bhattacharya, 2002). Here we have basically added a neutrosophic dimension to the problem of determining the conditional probability that a financial fraud has been actually committed, given that no Type I error occurred while rejecting the null hypothesis H0: The obse...

Statistical modeling of primary Ewing tumours of the bone

This short technical paper advocates a bootstrapping algorithm from which we can form a statistically reliable opinion based on limited clinically observed data, regarding whether an osteo-hyperplasia could actually be a case of Ewing’s osteosarcoma. The basic premise underlying our methodology is that a primary bone tumour, if it is indeed Ewing’s osteosarcoma, cannot increase in volume beyond...

The Israel - Palestine Question – A Case for Application of Neutrosophic Game Theory

____________________________________________________________________ In our present paper, we have explored the possibilities and developed arguments for an application of principles of neutrosophic game theory as a generalization of the fuzzy game theory model to a better understanding of the Israel-Palestine problem in terms of the goals and governing strategies of either side. We build on an...