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Analisis Galat Fungsi Keanggotaan Fuzzy Pada Metode Mamdani Dan Metode Sugeno

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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 Sugeno-type 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 Engineering11(4) : 1-7.

Boumediene. 2008. The efficiency of particle swarm optimization applied on fuzzy logic DC motor speed control. Serbian Journal Of Electrical Engineering5(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. Electrans11(2) : 1412-3762.

Guo, H. & He, J. 2013. A modified particle swarm optimization algorithm. Journal of Computer Science10(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 Computation12(2) : 252-265.

Jordehi, A.R. & Jasni, J. 2013. Parameter selection in particle swarm optimisation : a survey. Journal of Experimental & Theoretical Artificial Intelligence25(4) : 527-542

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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) : 2319-5967.

Khosla, A. 2013. Comparison of ABC and ant colony algorithm based fuzzy controller for an inverted pendulum. International Journal of Innovative Technology and Exploring Engineering3(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 Simetris5(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 Engineering3(1) : 217-230.

Permana, K.E. & Zaiton, S. 2010. Fuzzy membership function generation using particle swarm optimization. International Journal of Open Problem Computational Mathematic3(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 Technology13(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.

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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 Engineering25(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) : 963-966.

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