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All Journal Indonesian Journal of Electrical Engineering and Computer Science Journal of Computers and Digital Business
Nurnadiah Zamri
Universiti Sultan Zainal Abidin
Computer Science & IT Decision Sciences, Operations Research & Management

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Numerical solution for a new fuzzy transform of hyperbolic goursat partial differential equation Nur Syazana Saharizan; Nurnadiah Zamri
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp292-298

Abstract

The main objective of this paper is to present a new numerical method with utilization of fuzzy transform in order to solve various engineering problems that represented by hyperbolic Goursat partial differentical equation (PDE). The application of differential equations are widely used for modelling physical phenomena. There are many complicated and dynamic physical problems involved in developing a differential equation with high accuracy. Some problems requires a complex and time consuming algorithms. Therefore, the application of fuzzy mathematics seems to be appropriate for solving differential equations due to the transformation of differential equations to the algebraic equation which is solvable. Furthermore, development of a numerical method for solving hyperbolic Goursat PDE is presented in this paper. The method are supported by numerical experiment and computation using MATLAB. This will provide a clear picture to the researcher to understand the utilization of fuzzy transform to the hyperbolic Goursat PDE.
Conceptual Framework for Designing an Expert Advisor System Based on Technical Indicators: Evidence from Malaysian Forex Traders Zarith Sofia Zulkifli; Nurnadiah Zamri
Journal of Computers and Digital Business Vol. 5 No. 1 (2026)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i1.793

Abstract

The evolution of algorithmic trading (AT) has dramatically transformed the Foreign Exchange (Forex) market by integrating computational intelligence into trading and decision-making processes. Despite these advancements, Malaysian traders remain challenged in adopting such systems, particularly due to limited technical expertise, inadequate adaptation to local trading practices, and a lack of customized automated tools. This concept paper proposes a framework for designing Expert Advisors (EAs) that incorporate technical indicators (TIs) aligned with Malaysian traders' preferences and prevailing market conditions. The framework integrates three core components: trader competency assessment, indicator-based strategy development, and EA system architecture design, aimed at improving trade accuracy, profitability, and risk management. A qualitative approach grounded in literature synthesis and contextual analysis is employed to construct the proposed framework. The resulting model offers a structured and context-sensitive approach that combines trader preferences, technological innovation, and ethical considerations, with practical implications for system developers, educators, and regulators. The originality of this study lies in its localization of EA design to Malaysian traders' needs, bridging the gap between advanced algorithmic tools and local market readiness, while providing a replicable model for other emerging markets adopting AT solutions.
Co-Authors Nur Syazana Saharizan Zarith Sofia Zulkifli