Paper Title
Non-Deterministic Approaches for Stock Market Predictions: A Case Study

A stock market prediction is a critical issue for investors and market expert alike. In this paper, we acquire experts’ opinions and try to find the best possible scenarios for investors. As it is known that experts’ opinions and beliefs are subject to prediction and hence inexact reasoning. Two approaches are used to determine a consensus among experts. The first approach is via the use of the theory of belief (Dempester’s Rule of Combination), and the second approach is via the use of the Fuzzy Fusion Formula that is able to integrate (fuse) expert’s opinions. The outcome of belief combination is favorable guidelines for investors and decision-makers dealing with a fluctuating stock market. The experimental results of both approaches are evaluated and compared.