The performance of two mothers wavelets in function approximation.

Research into Wavelet Neural Networks was conducted on numerous occasions in the past. Based on previous research, it was noted that the Wavelet Neural Network could reliably be used for function approximation. The research conducted included comparisons between the mother functions of the Wavelet Neural Network namely the Mexican Hat, Gaussian Wavelet and Morlet Functions. The performances of these functions were estimated using the Normalised Square Root Mean Squared Error (NSRMSE) performance index. However, in this paper, the Root Mean Squared Error (RMSE) was used as the performance index. In previous research, two of the best mother wavelets for function approximations were determined to be the Gaussian Wavelet and Morlet functions. An in-depth investigation into the two functions was conducted in order to determine which of these two functions performed better under certain conditions. Simulations involving one-dimension and two-dimension were done using both functions. In this paper, we can make a specifically interpretation that Gaussian Wavelet can be used for approximating function for the function domain [−1, 1]. While Morlet function can be used for big domain. All simulations were done using Matlab V6.5

Selection the type of investment in Malaysia using Fuzzy Analytic Hierarchy Process (AHP) / Ardini Athirah Mhd Munawar and Mohd Fazril Izhar Mohd Idris

Everyone has their own preference and unique choice of investment based on their desire, needs and goals. But nowadays, in the present day of the financial market, investment has become complicated especially for youth because there is a lack of knowledge about investment. Thus, this study is to choose the best type of investment by using Fuzzy Analytical Hierarchy Process. Besides that, the process to achieve the main objective of this study is to study the criteria for selecting the best type of investment and to rank the merit of criteria and alternatives by using Fuzzy Analytical Hierarchy Process. This study is using the Fuzzy Analytical Hierarchy Process method to determine the degree of uncertainty when converting human preferences into a score based on various selection criteria in investment. Based on the result shows that gold is the best investment for the investor to invest their assets at the moment

Selection the best type of investment in Malaysia using Fuzzy TOPSIS / Muhamad Aizat Iman Roslan and Fazril Izhar Mohd Idris

Investment is described as an asset that is directly or indirectly owned or controlled by investors and possesses features such as the commitment of funds or other resources, the expectation of gain or profit, or the assumption of risks. The 21st century provides greater opportunities for investment choices due to the current financial market. With a variety of investment instruments available, the market became more appealing with higher returns and risk preferences to be explored by potential investors. This study possesses two objectives which are to study the criteria of the investment and to find the best type of investment in Malaysia. Four criteria played a role in determining the best type of investment which include risk, capital, return, and the sustainability of an investment. Besides that, this study aims to identify the best type of investment in Malaysia through Fuzzy TOPSIS. Property investment, precious metal investment, cryptocurrency investment, and stock trading investment will be ranked in this study as the best type of investment in Malaysia. In addition, the variables will be sorted according to the correlation using Fuzzy TOPSIS. The final finding suggests that stock trading investment is the best type of investment in Malaysia with a correlation coefficient of 0.467109. The results of this study could be helpful to a myriad of people. Meanwhile, the project's scope could be expanded in the future by adding a variety of criteria and options

Team Achievements Equality Using Fuzzy Rule-based Technique

Team formation is important in industrial and academic institutions because the success of teams depend on assembling the right combination of team members.Prior academic achievement is one of the factors that affect teams’ performances.Therefore, it is important to identify an effective technique that can determine equality amongst teams based on prior academic achievements.Having team with similar prior academic achievements can increase equality, reliability and validity in team formation before embarking on any research studies.This can be achieved by applying fuzzy rule-based technique.Fuzzy rule-based technique is suitable for this study because this technique allow analyzing of imprecise data and classifying selected criteria.Initial evaluation of this technique showed that it can indicate whether every team has equal distribution of prior academic achievements.By incorporating this technique in a team formation model, each team can be guaranteed to have equal chances to perform effectively.This technique can facilitate decision makers when forming highly productive project teams

Fuzzy logic to evaluate significant factors affecting students’ academic performance through online distance learning / Mohd Fazril Izhar Mohd Idris, Khairu Azlan Abd Aziz and Muhammad Haiman Aminuddin

Online distance learning is becoming more and more popular and more preferred among students. In order to develop efficient strategies and solutions for introducing online distance learning, higher education institutions should be aware of the needs and expectations of their students. In the current study, students from University of Technology MARA will investigate which factors that affect the execution of online distance learning for academic performance. Time management, learning environment, internet connection, and learning method are among the factors under consideration, as determined by a literature review. The information was gathered through an online survey of 331 students whose academic performance is affected by online distance learning. An expert system based on fuzzy logic has been developed to determine which factors have the greatest influence on students' academic performance in online distance learning. According to the results obtained using the MATLAB software, one of the most important factors influencing students' academic performance in online distance learning is time management. The findings of this study will help students to improve time management in order to improve students’ academic performance

Determining the causes of divorce in Perlis using fuzzy analytic hierarchy process / Mohd Fazril Izhar Mohd Idris, Khairu Azlan Abd Aziz and Muhammad Farhan Mohd Kamarulzaman

Divorce is one of the most common problems in the world and Malaysia is also considered as one of the countries that has many divorce cases. By definition, divorce is the legal dissolution of a marriage by a court or other competent body. Divorce is also categorized as an unfortunate occurrence as it would cause negative feelings and behaviors to someone who experienced it. Furthermore, there are nine factors of divorce used in the study which are infidelity, emotional problem, drugs problem, sexual problem, communication problem, problem with in-law, married too young and job conflict. Hence, the strongest factor needs to be determined as a precaution to people who want to married and people who are already married. Therefore, the best and suitable method to determine the strongest factor of divorces in Perlis is by using Fuzzy Analytic Hierarchy Process (FAHP). This is due to the capability and the ability of the FAHP in achieving better accuracy and consistency in the decision makers’ judgment. The method was conducted by using questionnaires and interview sessions with six selected respondents from Perlis State Islamic Affairs and Malay Customs and Perlis Syariah Judiciary Department. After that, the respondents were asked to rate the pairwise comparisons by using Saaty Scale which is from one to nine. Then, all the surveys were collected and converted into triangular fuzzy number prior further analysis by using Microsoft Excel. The analysis shows that the strongest factor of divorces in Perlis is drugs problem with the normalized relative weight of 0.203. Hence, Perlis residents need to be aware of the factors of divorce in the state and they can try to reduce the number of divorce cases in Perlis as well

The determination of factors that influence the noise pollution in Malaysia using fuzzy logic / Mohd Fazril Izhar Mohd Idris, Nur Afifah Zainol Abidin and Khairu Azlan Abd Aziz

Nowadays, the economy of our country has increased, so the use of transport, whether on land or by air, has also increased. This will lead to noise pollution, which will have an impact on human health. Noise pollution was an unpleasant sound that could have a negative impact on human health, such as sleep disturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollution such as road traffic, aircraft, commercial construction, industrial and manufacturing noise. Therefore, the aim of this study is to determine the factor that influences noise pollution in Malaysia using Fuzzy Logic. The determination of factors that affect noise pollution in Malaysia using the Fuzzy Logic approach includes the determination of input and output variables, Fuzzification, Fuzzy Rule-Based, Fuzzy Inference Method and Defuzzification. In Defuzzification which is the last stage for Fuzzy logic, Centroid method used since it can give a result with more accurate and flexible. This study used road traffic noise, aircraft noise, industrial and manufacturing noise and commercial construction as factors for noise pollution, as well as input variables. This method was used to determine which factors have the most influence on noise pollution. The results of this study show that road traffic noise and industrial and manufacturing noise were factors which had an impact on noise pollution with a maximum value of 82. This shows that the aim of this study has been achieved

FAHP-Based Assessment of Courier Service Preferences Among Malaysian Users

This study addresses the problem of understanding users' preferences for courier services in Malaysia. As online shopping and package delivery become increasingly prevalent, it is essential to identify the key factors that influence users' decisions when choosing a courier service. The Fuzzy Analytical Hierarchy Process (FAHP) method is employed to tackle this problem. The study aims to determine the relative importance of criteria such as responsiveness, reliability, empathy, assurance, and tangibility, along with their corresponding sub-criteria. A group of experts defined these criteria and sub-criteria, and a questionnaire was distributed to gather data on customer preferences. Using the FAHP technique, the study constructed a hierarchy tree, created a fuzzy pairwise comparison matrix, and calculated criterion and sub-criteria weights. The findings highlight the importance of responsiveness, particularly easy contact with courier companies, as the primary criterion. Enhancing services based on these insights can help users select suitable courier services while improving competitiveness in the industry

Fuzzy Logic to Evaluate Significant Factors Affecting Students’ Academic Performance Through Online Distance Learning

Online distance learning is becoming more and more popular and more preferred among students. In order to develop efficient strategies and solutions for introducing online distance learning, higher education institutions should be aware of the needs and expectations of their students. In the current study, students from University of Technology MARA will investigate which factors that affect the execution of online distance learning for academic performance. Time management, learning environment, internet connection, and learning method are among the factors under consideration, as determined by a literature review. The information was gathered through an online survey of 331 students whose academic performance is affected by online distance learning. An expert system based on fuzzy logic has been developed to determine which factors have the greatest influence on students' academic performance in online distance learning. According to the results obtained using the MATLAB software, one of the most important factors influencing students' academic performance in online distance learning is time management. The findings of this study will help students to improve time management in order to improve students’ academic performance

Pricing warrant by using binomial model: comparison between historical and implied volatility / Khairu Azlan Abd Aziz… [et al.]

A warrant is a security that allows the holder to buy and sell the underlying share at a fixed price until expiry date. Warrant price will always fluctuates since the underlying share also fluctuates. Hence, determining the warrant price is the main problem among the investors in Malaysia. This research is focusing on pricing the warrant for five companies that were listed in Bursa Malaysia. The companies were chosen randomly from UiTM DataStream. The selected companies were Boon Koon Sdn Bhd, Hovid Bhd, Kelington Bhd, ML Global Bhd and Tropicana Corporation Bhd. The data contained underlying share, interest rate, exercise price and actual warrant price. This research aims to define the price of warrant by using Binomial model. Historical volatility and implied volatility were used in this research whereby volatility is the movement of the underlying share price. This research aims at comparing the actual warrant price with the calculated warrant price. The data were computed manually by using Microsoft Excel and the comparison was made between the two type of volatilities to give the nearest value of calculated warrant price to the actual warrant price. The nearest value was assumed the best value for this research. The result was made by analyzing the line graphs and comparing between historical volatility and implied volatility with actual warrant price. Mean Square Error was used to support the results that were obtained from the line graphs. In the end, implied volatility yielded better results compared to historical volatility