Journal of Mathematical Sciences and Informatics

A Comparison of Predictive Modelling Techniques for Reducing Price Volatality in the Malaysia Sector

Amiratul Shamsuddin — 2023-12-07

Malaysia is one of the most important contributors in fisheries to the economy, as the country's GDP is rose to 12%. Hence, the fisheries price has always been an issue for Malaysian citizens. Recently, planning and decision-making in fisheries have been tough for the fisherman as they need to bear low prices despite the higher fishing cost. At the same time, the retailer receives higher fisheries prices. Thus, the fisheries prices have risen over time and are subjected to price fluctuation. This study aims to forecast the monthly price behaviour of many main varieties of fisheries that are commonly consumed by Malaysian using the method of ARIMA, MLFFN and hybrid ARIMA-MLFFN. The data used in this study is divided by two which in-sample data of 7 years from January 2010 to December 2018, while out-sample data of 2 years from January 2019 to December 2020 regards with the ex-vessel, wholesale and retail price of the fishery (Longtail tuna, Torpedo scad and Shortfin scad). Forecasts were made for the price of fisheries in the future for the next twelve months. According to the findings of this study, we concluded that all of three model: ARIMA, MLFFN and hybrid ARIMA-MLFFN are comparable models since 96% MAPE of out-sample forecast were less than 10%, which is highly accurate forecast.

Forecasting Monthly Fish Landing in East Coast Peninsular Malaysia Using SARIMA and Artificial Neural Network

Norizan Mohamed — 2023-12-07

Marine resources management has become vital nowadays due to the increases of awareness of these resources becoming limited. With regards to fish landing, it has been a crucial for the managers to make better decision making particularly the amount of fish stock need to be kept for future food security since fish is one of the main source of protein supply to the country. Hence, the objective of this study is to predict the Monthly Fish Landing in East Coast Peninsular Malaysia using Box–Jenkins Autoregressive Seasonal Autoregressive Integrated Moving Average (SARIMA) and Artificial Neural Networks (ANN). The data obtained were split into two sets with ratio of 80% and 20%, training data was set from January 2012 until December 2019 while testing data from January 2020 to December 2021. The SAS and MATLAB were used to analyse and obtaining the best model of prediction. Based on Box-Jenkin approach, the best model of SARIMA was observed in SARIMA (1,1,0)(0,1,1)¹² with AIC and SBC reach the minimum value at AIC=20.67209 and SBC=20.77894. By taking lag variables of SARIMA model as the input for ANN, we then developed SARIMA-ANN model. The findings showed that the integration of SARIMA–ANN model proven to be a feasible option for more accurate prediction of monthly fish landing performance in East Coast Peninsular Malaysia.

Functorial Properties of the Space for Stratifiable Spaces X

Tursunboy Zhuraev — 2023-12-07

In the category of stratifiable spaces and continuous mappings into itself, we bring one construction belonging to Coty called test space, which defines a covariant functor in this category. This construction defines a functor , which allows each stratifiable space to be immersed in a closed manner into some other space which is a stratifiable space with "Good" functorial, geometric and topological properties. It is shown that the functor is a normal, open and monadic functor in this category of stratifiable spaces and continuous mappings into itself. And also it is studied the dimensional properties of the space for the stratifiable space , defined for each subfunctor of the functor for which the dimension satisfies the inequality: .

On the approximation of the function on the unite sphere by the spherical harmonics

Abdumalik Rakhimov — 2023-12-07

In this paper we discuss convergence and summability of the Fourier series of distributions in the domains where it coincides with smooth functions in eigenfunction expansions of the Laplace operator on the unite sphere. We consider representation of the distributions defined on the unit sphere by its Fourier-Laplace series by the spherical harmonics in different topologies. Mainly we study the Chesaro method of summation such a series

A Study on Some Properties for Weak Stability of Non-Autonomous Discrete Dynamical Systems

Kim Man Lim — 2023-12-07

The interest for non-autonomous discrete dynamical systems has been increasing in recent years, because they are adequate to tell of real activities. For examples, when the mapping is disturbed in each iteration because of external factors, or model of some phenomena in physics, biology and economy, in specific, the population of human and weather forecasting, plus to solve problems generated in mathematics. In mathematics, stability theory addresses the stability of solutions of trajectories of dynamical systems under small perturbations of initial conditions. Besides that, the topological dynamics is the main method used in this paper, since we studied the non-autonomous discrete dynamical systems on a topological space. Next, we present a conception of weak stability (stableness) of non-autonomous discrete dynamical systems (NADDS). We evaluate a collection of weak stable points, and survey the connection among weak stableness and shadowing property. We also consider the connection among weak stableness of a non-autonomous discrete dynamical system and its induced system. In conclusion, the results of this paper will provide some helps in the modelling of a general dynamical system.

The Impact of Open-Source Software on Artificial Intelligence

Myftahuddin Hazmi Hassri — 2023-12-07

Open-Source Software (OSS) can be defined as application or tools that is developed by its own community. The idea of OSS development comes from Richard Stallman where stands the freedom of using software for free. After successfully launched The GNU project, Richard Stallman established Free Software Foundation to fight the big technology companies from monopolize the tech-economy during that time. As results, many OSS (e.g., Apache, Linux OS, etc.) are developed and still being used till today. Nowadays, OSS covers many sectors such as software development, 3D rendering, mobile applications, Artificial Intelligence (AI) and many more. This paper will review the basic information of OSS along with its history, Advantages and disadvantages of OSS, the impact of OSS to the industries and AI as well as its challenges.