Analisis Galat Fungsi Keanggotaan Fuzzy Pada Metode Mamdani Dan Metode Sugeno
67
DAFTAR PUSTAKA
Acilar, A.M. & Arslan, A. 2008. Optimization of multiple input single output
fuzzy membership functionsusing clonal selection algorithm.
Proceedings of the 8th WSEAS International
Conference
on
Applied Computer Science (ACS'08), pp. 49-53.
Adewuyi, A.P. 2013. Performance Evaluation of Mamdani-type and Sugenotype Fuzzy Inference System Based Controllers for Computer Fan.
International Journal Information Technology and Computer Science
(IJITCS) 5 (1)
Alwi, F.B. 2013. Knowledge acquisition tool for learning membership function
and fuzzy classification rules from numerical data. International
Journal of Computer Applications (IJCA) 64(13) :24-30.
Balochian, S. & Ebrahimi, E. 2013. Parameter optimization via cuckoo
optimization algorithm of fuzzy controller for liquid level control.
Hidawi Journal of Engineering 11(4) : 1-7.
Boumediene. 2008. The efficiency of particle swarm optimization applied on
fuzzy logic DC motor speed control. Serbian Journal Of Electrical
Engineering 5(3) : 247-262.
Caniani, D., Lioi,D.S., Macini, M. I., Masi,S. 2011. Application of Fuzzy Logic
and Sensitivity Analysis for Soil Contamination Hazard Classification.
Waste Management : 583-594.
Chen, G. & Pham, T.T. 2001. Introduction to Fuzzy Sets, Fuzzy Logic,and
Fuzzy Control Systems. CRC Press : Washington DC
Fechera B, Kustija. J & Elvyanti. S. 2012. Optimasi Penggunaan Membership
Function Logika Fuzzy Pada Kasus Identifikasi Kualitas Minyak
Transformator. Electrans 11 (2) : 1412-3762.
Guo, H. & He, J. 2013. A modified particle swarm optimization algorithm.
Journal of Computer Science 10(2) : 341-346.
Hong, T.P., Chen, C.H., Lee, Y.C. & Wu, Y.L. 2008. Genetic-fuzzy data
mining with divide and conquer strategi. IEEE Transaction On
Evolutionary Computation 12(2) : 252-265.
Jordehi, A.R. & Jasni, J. 2013. Parameter selection in particle swarm
optimisation : a survey. Journal of Experimental & Theoretical
Artificial Intelligence 25(4) : 527-542
Universitas Sumatera Utara
68
Kansal, V & Kaur, A. 2013. Development of Mamdani FIS for Flow Rate
Control in a Rawmill of Cement Industry. International Journal of
Engineering Science and Innovative Technology (IJESIT) 2 (3) : 23195967.
Khosla, A. 2013. Comparison of ABC and ant colony algorithm based
fuzzy controller for an inverted pendulum. International Journal of
Innovative Technology and Exploring Engineering 3 (3) : 123-234.
Kaur, A & Kaur, A. 2012. Comparison of Mamdani-Type and Sugeno-Type
Fuzzy Inference Systems for Air Conditioning System. International
Journal of Soft Computing and Engineering (IJSCE) 3 (2) : 2231-2307
Meimaharani, R & Listyorini, T. 2014. Analisis Sistem Inference Fuzzy Sugeno
Dalam Menentukan Harga Penjualan Tanah Untuk Pembangunan
Minimarket. Jurnal Simetris 5 (1) :2252-4983.
Mishra, A.K., Das, M.N. & Panda, T.C. 2013. Swarm intelligence
optimization : editorial survey. International Journal of Emerging
Technology and Advanced Engineering 3(1) : 217-230.
Permana, K.E. & Zaiton, S. 2010. Fuzzy membership function generation
using particle swarm optimization. International Journal of Open
Problem Computational Mathematic 3(1) : 28-41.
Shang, K. & Hossen, Z. 2013. Applying fuzzy logic to risk assessment and
decision making. Canadian Institute of Actuaries : Canada
Sruthi, S.J. 2013. Self generated fuzzy membership function using ANN
clustering technique. International Journal of Latest Trends in
Engineering and Technology 13(2) : 142-152
Sumiati & Nuryadhin, S. 2013. Decision Support Systems In Determining
Lecturer s Performance Appraisal Using Fuzzy Database Method of
Mamdani s Model (Case Study at the University of Serang Raya).
International Journal of Application or Innovation in Engineering &
Management (IJAIEM) 2(11) : 2319-4847.
Sutojo, T., Mulyanto, E., Suhartono, V. 2011. Kecerdasan Buatan. Yogyakarta:
Penerbit ANDI.
Tsai, S.H. & Shih, K.S. 2012. Observer-based adaptive FNN controller
optimized by NAPSOSA for nonlinear time-delay systems.
International Journal of Control, Automation, and Systems 10(5) :
861-872.
Universitas Sumatera Utara
69
Vikas, M.N. & Prabhas, R.K. 2012. Efficient hand off using fuzzy and
simulated annealing. Internatioanl Journal of Computer Network and
Information Security 12(1) : 17-23.
Wang, S., Wang, G., Gao, M. & Yu, S. 2013. Using fuzzy hybrid features to
classify strokes in interactive sketches. Journal Of Advances in
Mechanical Engineering 25(3) : 1-7.
Widiarti, Kurniasari, D. & Wulandari, S. 2014. Pendugaan Galat Baku Nilai
Tengah Menggunakan Metode Resampling Jackknife dan Bootstrap
Nonparametric dengan Software R 2.15.0. Juurnal Gradien 10(1) : 963966.
Universitas Sumatera Utara
DAFTAR PUSTAKA
Acilar, A.M. & Arslan, A. 2008. Optimization of multiple input single output
fuzzy membership functionsusing clonal selection algorithm.
Proceedings of the 8th WSEAS International
Conference
on
Applied Computer Science (ACS'08), pp. 49-53.
Adewuyi, A.P. 2013. Performance Evaluation of Mamdani-type and Sugenotype Fuzzy Inference System Based Controllers for Computer Fan.
International Journal Information Technology and Computer Science
(IJITCS) 5 (1)
Alwi, F.B. 2013. Knowledge acquisition tool for learning membership function
and fuzzy classification rules from numerical data. International
Journal of Computer Applications (IJCA) 64(13) :24-30.
Balochian, S. & Ebrahimi, E. 2013. Parameter optimization via cuckoo
optimization algorithm of fuzzy controller for liquid level control.
Hidawi Journal of Engineering 11(4) : 1-7.
Boumediene. 2008. The efficiency of particle swarm optimization applied on
fuzzy logic DC motor speed control. Serbian Journal Of Electrical
Engineering 5(3) : 247-262.
Caniani, D., Lioi,D.S., Macini, M. I., Masi,S. 2011. Application of Fuzzy Logic
and Sensitivity Analysis for Soil Contamination Hazard Classification.
Waste Management : 583-594.
Chen, G. & Pham, T.T. 2001. Introduction to Fuzzy Sets, Fuzzy Logic,and
Fuzzy Control Systems. CRC Press : Washington DC
Fechera B, Kustija. J & Elvyanti. S. 2012. Optimasi Penggunaan Membership
Function Logika Fuzzy Pada Kasus Identifikasi Kualitas Minyak
Transformator. Electrans 11 (2) : 1412-3762.
Guo, H. & He, J. 2013. A modified particle swarm optimization algorithm.
Journal of Computer Science 10(2) : 341-346.
Hong, T.P., Chen, C.H., Lee, Y.C. & Wu, Y.L. 2008. Genetic-fuzzy data
mining with divide and conquer strategi. IEEE Transaction On
Evolutionary Computation 12(2) : 252-265.
Jordehi, A.R. & Jasni, J. 2013. Parameter selection in particle swarm
optimisation : a survey. Journal of Experimental & Theoretical
Artificial Intelligence 25(4) : 527-542
Universitas Sumatera Utara
68
Kansal, V & Kaur, A. 2013. Development of Mamdani FIS for Flow Rate
Control in a Rawmill of Cement Industry. International Journal of
Engineering Science and Innovative Technology (IJESIT) 2 (3) : 23195967.
Khosla, A. 2013. Comparison of ABC and ant colony algorithm based
fuzzy controller for an inverted pendulum. International Journal of
Innovative Technology and Exploring Engineering 3 (3) : 123-234.
Kaur, A & Kaur, A. 2012. Comparison of Mamdani-Type and Sugeno-Type
Fuzzy Inference Systems for Air Conditioning System. International
Journal of Soft Computing and Engineering (IJSCE) 3 (2) : 2231-2307
Meimaharani, R & Listyorini, T. 2014. Analisis Sistem Inference Fuzzy Sugeno
Dalam Menentukan Harga Penjualan Tanah Untuk Pembangunan
Minimarket. Jurnal Simetris 5 (1) :2252-4983.
Mishra, A.K., Das, M.N. & Panda, T.C. 2013. Swarm intelligence
optimization : editorial survey. International Journal of Emerging
Technology and Advanced Engineering 3(1) : 217-230.
Permana, K.E. & Zaiton, S. 2010. Fuzzy membership function generation
using particle swarm optimization. International Journal of Open
Problem Computational Mathematic 3(1) : 28-41.
Shang, K. & Hossen, Z. 2013. Applying fuzzy logic to risk assessment and
decision making. Canadian Institute of Actuaries : Canada
Sruthi, S.J. 2013. Self generated fuzzy membership function using ANN
clustering technique. International Journal of Latest Trends in
Engineering and Technology 13(2) : 142-152
Sumiati & Nuryadhin, S. 2013. Decision Support Systems In Determining
Lecturer s Performance Appraisal Using Fuzzy Database Method of
Mamdani s Model (Case Study at the University of Serang Raya).
International Journal of Application or Innovation in Engineering &
Management (IJAIEM) 2(11) : 2319-4847.
Sutojo, T., Mulyanto, E., Suhartono, V. 2011. Kecerdasan Buatan. Yogyakarta:
Penerbit ANDI.
Tsai, S.H. & Shih, K.S. 2012. Observer-based adaptive FNN controller
optimized by NAPSOSA for nonlinear time-delay systems.
International Journal of Control, Automation, and Systems 10(5) :
861-872.
Universitas Sumatera Utara
69
Vikas, M.N. & Prabhas, R.K. 2012. Efficient hand off using fuzzy and
simulated annealing. Internatioanl Journal of Computer Network and
Information Security 12(1) : 17-23.
Wang, S., Wang, G., Gao, M. & Yu, S. 2013. Using fuzzy hybrid features to
classify strokes in interactive sketches. Journal Of Advances in
Mechanical Engineering 25(3) : 1-7.
Widiarti, Kurniasari, D. & Wulandari, S. 2014. Pendugaan Galat Baku Nilai
Tengah Menggunakan Metode Resampling Jackknife dan Bootstrap
Nonparametric dengan Software R 2.15.0. Juurnal Gradien 10(1) : 963966.
Universitas Sumatera Utara