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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics
Syibrah Naim
Universiti Sains Malaysia (USM)
Computer Science & IT Electrical & Electronics Engineering Engineering

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Fuzzy Logic Approach to Identify Deprivation Index in Peninsular Malaysia Muhammad Azam Haris Che Amat; Syibrah Naim; Syerrina Zakaria
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.46 KB) | DOI: 10.11591/eei.v7i4.1352

Abstract

Deprivation indices are similar to inequalities index or index of disadvantageous. It was built to measure the basic necessities in a specific study area or region. There were many indices that have been constructed in the previous study. However, since these indices had depended mostly on two factors; socio-economic conditions and geography of the study area, thus different result would be generated in different areas. The objective of this study is to construct the new index based on above factors in Peninsular Malaysia by using a fuzzy logic approach. This study employed twelve variables from different facilities condition that was obtained from Malaysia 2000’s census report. These variables were considered as input parameters in the fuzzy logic system. Data turned into linguistic variables and shaped into rules in the form of IF-ELSE conditions. After that, the centroid of area method is applied to acquire the final deprivation index for a specific district in Peninsular Malaysia. The result showed that less developed states generated lower index for examples Kelantan and Kedah while more developed states generated a higher index for examples Selangor and W.P. Kuala Lumpur.
Hybridization of Bat and Genetic Algorithm to Solve N-Queens Problem Abbas Fadhile Jasim Al-Gburi; Syibrah Naim; Aziz Nasser Boraik
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.907 KB) | DOI: 10.11591/eei.v7i4.1351

Abstract

In this paper, a hybrid of Bat-Inspired Algorithm (BA) and Genetic Algorithm (GA) is proposed to solve N-queens problem. The proposed algorithm executes the behavior of microbats with changing pulse rates of emissions and loudness to final all the possible solutions in the initialization and moving phases. This dataset applied two metaheuristic algorithms (BA and GA) and the hybrid to solve N-queens problem by finding all the possible solutions in the instance with the input sizes of area 8*8, 20*20, 50*50, 100*100 and 500*500 on a chessboard. To find the optimal solution, consistently, ten run have been set with 100 iterations for all the input sizes. The hybrid algorithm obtained substantially better results than BA and GA because both algorithms were inferior in discovering the optimal solutions than the proposed randomization method. It also has been discovered that BA outperformed GA because it requires a reduced amount of steps in determining the solutions.
Hybridization of Bat and Genetic Algorithm to Solve N-Queens Problem Abbas Fadhile Jasim Al-Gburi; Syibrah Naim; Aziz Nasser Boraik
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.907 KB) | DOI: 10.11591/eei.v7i4.1351

Abstract

In this paper, a hybrid of Bat-Inspired Algorithm (BA) and Genetic Algorithm (GA) is proposed to solve N-queens problem. The proposed algorithm executes the behavior of microbats with changing pulse rates of emissions and loudness to final all the possible solutions in the initialization and moving phases. This dataset applied two metaheuristic algorithms (BA and GA) and the hybrid to solve N-queens problem by finding all the possible solutions in the instance with the input sizes of area 8*8, 20*20, 50*50, 100*100 and 500*500 on a chessboard. To find the optimal solution, consistently, ten run have been set with 100 iterations for all the input sizes. The hybrid algorithm obtained substantially better results than BA and GA because both algorithms were inferior in discovering the optimal solutions than the proposed randomization method. It also has been discovered that BA outperformed GA because it requires a reduced amount of steps in determining the solutions.
Fuzzy Logic Approach to Identify Deprivation Index in Peninsular Malaysia Muhammad Azam Haris Che Amat; Syibrah Naim; Syerrina Zakaria
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.46 KB) | DOI: 10.11591/eei.v7i4.1352

Abstract

Deprivation indices are similar to inequalities index or index of disadvantageous. It was built to measure the basic necessities in a specific study area or region. There were many indices that have been constructed in the previous study. However, since these indices had depended mostly on two factors; socio-economic conditions and geography of the study area, thus different result would be generated in different areas. The objective of this study is to construct the new index based on above factors in Peninsular Malaysia by using a fuzzy logic approach. This study employed twelve variables from different facilities condition that was obtained from Malaysia 2000’s census report. These variables were considered as input parameters in the fuzzy logic system. Data turned into linguistic variables and shaped into rules in the form of IF-ELSE conditions. After that, the centroid of area method is applied to acquire the final deprivation index for a specific district in Peninsular Malaysia. The result showed that less developed states generated lower index for examples Kelantan and Kedah while more developed states generated a higher index for examples Selangor and W.P. Kuala Lumpur.
Hybridization of Bat and Genetic Algorithm to Solve N-Queens Problem Abbas Fadhile Jasim Al-Gburi; Syibrah Naim; Aziz Nasser Boraik
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.907 KB) | DOI: 10.11591/eei.v7i4.1351

Abstract

In this paper, a hybrid of Bat-Inspired Algorithm (BA) and Genetic Algorithm (GA) is proposed to solve N-queens problem. The proposed algorithm executes the behavior of microbats with changing pulse rates of emissions and loudness to final all the possible solutions in the initialization and moving phases. This dataset applied two metaheuristic algorithms (BA and GA) and the hybrid to solve N-queens problem by finding all the possible solutions in the instance with the input sizes of area 8*8, 20*20, 50*50, 100*100 and 500*500 on a chessboard. To find the optimal solution, consistently, ten run have been set with 100 iterations for all the input sizes. The hybrid algorithm obtained substantially better results than BA and GA because both algorithms were inferior in discovering the optimal solutions than the proposed randomization method. It also has been discovered that BA outperformed GA because it requires a reduced amount of steps in determining the solutions.
Fuzzy Logic Approach to Identify Deprivation Index in Peninsular Malaysia Muhammad Azam Haris Che Amat; Syibrah Naim; Syerrina Zakaria
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.46 KB) | DOI: 10.11591/eei.v7i4.1352

Abstract

Deprivation indices are similar to inequalities index or index of disadvantageous. It was built to measure the basic necessities in a specific study area or region. There were many indices that have been constructed in the previous study. However, since these indices had depended mostly on two factors; socio-economic conditions and geography of the study area, thus different result would be generated in different areas. The objective of this study is to construct the new index based on above factors in Peninsular Malaysia by using a fuzzy logic approach. This study employed twelve variables from different facilities condition that was obtained from Malaysia 2000’s census report. These variables were considered as input parameters in the fuzzy logic system. Data turned into linguistic variables and shaped into rules in the form of IF-ELSE conditions. After that, the centroid of area method is applied to acquire the final deprivation index for a specific district in Peninsular Malaysia. The result showed that less developed states generated lower index for examples Kelantan and Kedah while more developed states generated a higher index for examples Selangor and W.P. Kuala Lumpur.
Co-Authors Abbas Fadhile Jasim Al-Gburi Aziz Nasser Boraik Muhammad Azam Haris Che Amat Syerrina Zakaria