[4] **viXra:1004.0124 [pdf]**
*submitted on 10 Mar 2010*

**Authors:** Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan

**Comments:**
109 pages.

Computational models pervade all branches of the exact sciences and have in recent
times also started to prove to be of immense utility in some of the traditionally 'soft'
sciences like ecology, sociology and politics. This volume is a collection of a few cuttingedge
research papers on the application of variety of computational models and tools in
the analysis, interpretation and solution of vexing real-world problems and issues in
economics, management, ecology and global politics by some prolific researchers in the
field.

**Category:** Economics and Finance

[3] **viXra:1004.0095 [pdf]**
*submitted on 19 Apr 2010*

**Authors:** Sukanto Bhattacharya

**Comments:** 7 pages.

The efficient market hypothesis based primarily on the statistical principle of Bayesian
inference has been proved to be only a special-case scenario. The generalized financial
market, modeled as a binary, stochastic system capable of attaining one of two possible
states ...

**Category:** Economics and Finance

[2] **viXra:1004.0093 [pdf]**
*submitted on 19 Apr 2010*

**Authors:** Sukanto Bhattacharya, Florentin Smarandache, Mohammad Khoshnevisan

**Comments:** 10 pages.

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 earlier attempted justification of a game theoretic explanation of
this problem by Yakir Plessner (2001) and go on to argue in favour of a neutrosophic adaptation of
the standard 2x2 zero-sum game theoretic model in order to identify an optimal outcome

**Category:** Economics and Finance

[1] **viXra:1004.0017 [pdf]**
*replaced on 19 Apr 2010*

**Authors:** Sukanto Bhattacharya, Kuldeep Kumar, Florentin Smarandache

**Comments:** 9 pages.

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 H_{0}: The observed first-digit frequencies approximate a Benford
distribution; and accepting the alternative hypothesis H_{1}: The observed first-digit
frequencies do not approximate a Benford distribution. We have also suggested
a conceptual model to implement such a neutrosophic fraud detection system.

**Category:** Economics and Finance