The state of cyber security has begun to attract more attention and interest outside the
community of computer security experts. Cyber security is not a single problem, but rather a …

Stock price prediction is an important task for most investors and professional analysts.
However, it is a tough problem because of the uncertainties involved in prices. This paper …

Decision making process in stock trading is a complex one. There are numbers of technical
indicators that are used by traders to study trends of the market and make buying and selling …

Fluctuations in prices and complexities of the stock market have made investment decision a
difficult task. The paper proposes an Agent-based Fuzzy logic Stock Market (AFUSM) model …

Traditional technical analysis methods face limitations in accurately predicting trends in
today's complex financial markets. Meanwhile, existing AI-driven approaches, while …

Bulanık mantık yaklaşımı, yapay zeka çalışmalarının bir alt dalı olarak incelenmektedir.
Aristoteles' in iki değerli mantık önermesine karşı, çok değerli mantık çalışmalarının bir ürünü …

Stock Market can be easily seen as one of the most attractive places for investors, but it is
also very complex in terms of making trading decisions. Predicting the market is a risky …

Understanding financial market condition becomes necessary for traders/investors to obtain
maximum profit. Forecasting market capital needs fuzzy algorithm with method/indicators …

Fuzzy logic, originally introduced by Lofti Zadeh in the 1960's, resembles human reasoning
in its use of approximate, vague, noisy or imprecise data/information and uncertainty to …

This study proposes a Fuzzy Metagraph based Decision Support System (DSS) for short
term and long term investment in share market. This rule base decision system will help …