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Fuzzy autoregressive time series model based on symmetry triangular fuzzy numbers

Abstract

The symmetry triangular fuzzy number has been developed to build fuzzy autoregressive models by using various approaches such as low-high data, integer number, measurement error, and standard deviation data. However, most of these approaches are not simulated and compared between ordinary least square and fuzzy optimization in parameter estimation. In this paper, we are interested in implementation of measurement error and standard deviation data in construction symmetry triangular fuzzy numbers. Additionally, both types of triangular fuzzy numbers are deployed to build a fuzzy autoregressive model, especially the second order. The simulation result showed that the fuzzy autoregressive model produced the smaller mean square error and average width if compared with the ordinary autoregressive model. In the implementation, the high accuracy was also achieved by the fuzzy autoregressive model in consumer goods stock prediction. From the simulation and implementation, the proposed fuzzy au.....

Article Published 2021 792 hits Available

Cleansing of inconsistent sample in linear regression model based on rough sets theory

Efendi, Riswan

Abstract

The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reliability of measurement, and normality. Besides, there is no consideration to date for handling and cleansing inconsistent samples in the data sets. These samples may significantly influence the performance of multiple linear regression in terms of these assumptions and several aspects, such as adjusted R-square, intercept-slopes, exogenous variables, and the accuracy of prediction. In this paper, the data reduction strategy of rough sets was employed to remove and clean these types of samples, boosting the performance of the linear regression models. This strategy was evaluated by examining three different effects; adjusted R-square, slopes-intercepts, and mean square error of the regression.....

Article Published 2023 810 hits Available

Yearly residential electricity forecasting model based on fuzzy regression time series in Indonesia

Riswan Efendi

Abstract

Triangular fuzzy numbers (TFNs) are used to express the weights of criteria and alternatives to account for the ambiguity and uncertainty inherent to subjective evaluations. However, the proposed method can easily be extended to other fuzzy settings depending on the uncertainty facing managers and decision-makers. Triangular fuzzy number (TFN) is a critical component in building fuzzy models such as fuzzy regression and fuzzy autoregressive. Many symmetrical triangular fuzzy numbers have been proposed to improve the scales linguistic accuracy. Additionally, Sturges rule is a well-known approach to determining criteria or intervals of grouped data. However, some existing TFN methods are challenging despite being considered in building fuzzy regression models. The increase in electricity distribution is caused by the number of customers and the amount of installed capacity factors in Indonesia. The identified factors are uncertainty, inexactness, and random nature. This paper investigate.....

Article Published 2023 689 hits Available

Penilaian pelaksanaan Pentaksiran Bilik Darjah (PBD) dalam kalangan guru Pendidikan Jasmani dan Kesihatan (PJK) sekolah menengah

Mohd Noor Efendi Samsu

Abstract

Kajian ini bertujuan untuk menilai pelaksanaan Pentaksiran Bilik Darjah (PBD) dalam kalangan guru yang mengajar mata pelajaran Pendidikan Jasmani dan Kesihatan (PJK). Penilaian secara kuantitatif ini menggunakan model penilaian KIPP dan telah dijalankan ke atas guru-guru PJK di daerah Kota Setar, Kedah. Kajian ini menentukan tahap pelaksanaan PBD PJK berdasarkan empat dimensi model penilaian iaitu Konteks, Input, Proses dan Produk. Kajian ini juga mengukur pengaruh dimensi Konteks, Input, Proses terhadap dimensi Produk, dan seterusnya menentukan peramal terbaik antara ketiga-tiganya. Sejumlah 200 orang guru PJK di daerah Kota Setar dijadikan sampel kajian ini berdasarkan kaedah pensampelan kluster. Soal selidik digunakan dalam kajian ini bagi pengumpulan data kajian. Kesahan konstruk soal selidik ini dibuktikan dengan nilai kolerasi skor dengan jumlah skor yang berada dalam julat 0.301 hingga 0.931. Kebolehpercayaannya pula dibuktikan dengan nilai Alfa Cronbach bagi keselur.....

Thesis Published 2024 12170 hits Available

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