Pembangkitan Rule Menggunakan Rough Set Pada Fungsi Keanggotaan Fuzzy
51
DAFTAR PUSTAKA
Arief, Mohammad Rizal, Daniel O Siahaan, & Isye Arieshanti. 2010. Klasterisasi
Teks Menggunakan Metode Max-Max Roughness (MMR) Dengan Pengayaan
Similaritas Kata. KURSOR, Vol. 5, No. 4, pp.246~255, ISSN 0216-0544.
Banjarnahor, J. 2012. Aplikasi Logika Fuzzy Dalam Penentuan Kepuasan Rawat Inap
(Studi Kasus Rawat Inap RSU Herna Medan). Skripsi. Universitas Sumatera
Utara.
G. Frege, Grundlagen der Arithmetik, 2. 1983. Verlag von Herman Pohle, Jena.
Ganivada, Avatharam, Shubhra Sankar Ray, & Sankar K. Pala. 2013. Fuzzy Rough
Sets, and A Granular Neural Network for Unsupervised Feature Selection.
Elsevier. Neural network 48. pp.91~108.
Gelley, Ned & Roger Jang. 2000. Fuzzy Logic Toolbox. USA: Mathwork, Inc.
Hasherni, Ray R., Bruce A. Pearce, Ramin B. Arani, Willam G. Hinson, Merle G.
Paule. 2007. Modified Rough Sets, And Genetic Algorithms For Hybrid
Diagnostic Systems. ISBN-13: 978-1-4612-8637-0 e-ISBN-13: 978-1-46131461-5. DOl: 10.1007/978-1-4613-1461-5.
Jang, J.S.R, C.T. Sun, & E. Mizutani. 1997. Neuro-Fuzzy and Soft Computing.
London: Prentice-Hall.
Jian, Liron, Sifeng Liu, & Yi Lin. 2011. Hybrid Rough Sets and Applications In
Uncertain Decision Making. CRC Press. Taylor and Fancis Group. Boca
Raton, London, New York. ISSN:978-1-4200-8748-2.
Kothari, Ashwin. Member IAENG, Allhad Gokhale, Avinash Keskar, & Shreesha
Srinath,Rakesh Chalasani. 2008. Feature Space Reductions Using Rough Sets
for a Rough-Neuro Hybrid Approach Based Pattern Classifier. Proceedings
of the World Congress on Engineering and Computer Science 2008, WCECS
2008, pp.975~979, San Francisco, USA. ISBN: 978-988-98671-0-2
Maharani, W. 21 Juni 2008. Analisis Performansi Algoritma Rough Adaptive NeuroFuzzy Inference System. Seminar Nasional Aplikasi Teknologi Informasi
2008 (SNATI 2008), pp. C39~C42, ISSN: 1907-5022 Yogyakarta.
Nurhayati. 2014. Metode Rough Set untuk Melihat Perilaku Suami yang Menjadi
Akseptor KB Vasektomi. Informasi dan Teknologi Ilmiah (INTI), Vol.6,
No.2, pp.94~99. ISSN : 2339-210X.
Pawlak, Z. 1982. Rough sets, International Journal of Computer and Information
Sciences. 11,341-356.
Universitas Sumatera Utara
52
Polkowski, L. 2002. Rough Sets Mathematical Foundations; Springer-Verlag Berlin
Heidelberg GmbH. Original published by Physica-Verlag Heidelberg. New
York. ISSN 1615-3871, ISBN 978-3-7908-1510-8, ISBN 978-3-7908
(eBook), DOI 10.1007/978-3-7908-1776-8
Radwan, Elsayed, & Adel M. A. Assiri. 2013. Thyroid Diagnosis based Technique on
Rouhg Set with Modified Similarity Relation. IJACSA (International Journal
of Advanced Computer Science and Appications), Vol. 4, No.10,
pp.120~126.
Sadek, Rowayda A., M. Sami Soliman, dan Hagar S. Salyed. November 2013.
Effective Anomaly Intrusion Detection System based on Neural Network with
Indicator Variable and Rough set Reduction. IJCSI (International Journal of
Computer Science Issues, Vol.10, Issue 6, No. 2, pp.227~233, ISSN
(print):1694-0814 | ISSN (online): 1694-0784.
Saindra, Gede S., & Reza Pulungan. January 2012. Reduksi Parameter Quality-OfService Menggunakan Rough-Set-Theory Dalam Simulasi Routing Algoritma
Dijkstra. IJCCS, Vol.6, No.1, pp. 79~90. ISSN: 1978-1520.
Yao, Y.Y., S.K.M. Wong, and T.Y. Lin. 1997. A Review Of Rough Set Models. ISBN13: 978-1-4612-8637-0 e-ISBN-13: 978-1-4613-1461-5. DOl: 10.1007/9781-4613-1461-5.
Zadeh, L. 1965. Fuzzy sets, Information and Control. 8, 338-353.
Universitas Sumatera Utara
DAFTAR PUSTAKA
Arief, Mohammad Rizal, Daniel O Siahaan, & Isye Arieshanti. 2010. Klasterisasi
Teks Menggunakan Metode Max-Max Roughness (MMR) Dengan Pengayaan
Similaritas Kata. KURSOR, Vol. 5, No. 4, pp.246~255, ISSN 0216-0544.
Banjarnahor, J. 2012. Aplikasi Logika Fuzzy Dalam Penentuan Kepuasan Rawat Inap
(Studi Kasus Rawat Inap RSU Herna Medan). Skripsi. Universitas Sumatera
Utara.
G. Frege, Grundlagen der Arithmetik, 2. 1983. Verlag von Herman Pohle, Jena.
Ganivada, Avatharam, Shubhra Sankar Ray, & Sankar K. Pala. 2013. Fuzzy Rough
Sets, and A Granular Neural Network for Unsupervised Feature Selection.
Elsevier. Neural network 48. pp.91~108.
Gelley, Ned & Roger Jang. 2000. Fuzzy Logic Toolbox. USA: Mathwork, Inc.
Hasherni, Ray R., Bruce A. Pearce, Ramin B. Arani, Willam G. Hinson, Merle G.
Paule. 2007. Modified Rough Sets, And Genetic Algorithms For Hybrid
Diagnostic Systems. ISBN-13: 978-1-4612-8637-0 e-ISBN-13: 978-1-46131461-5. DOl: 10.1007/978-1-4613-1461-5.
Jang, J.S.R, C.T. Sun, & E. Mizutani. 1997. Neuro-Fuzzy and Soft Computing.
London: Prentice-Hall.
Jian, Liron, Sifeng Liu, & Yi Lin. 2011. Hybrid Rough Sets and Applications In
Uncertain Decision Making. CRC Press. Taylor and Fancis Group. Boca
Raton, London, New York. ISSN:978-1-4200-8748-2.
Kothari, Ashwin. Member IAENG, Allhad Gokhale, Avinash Keskar, & Shreesha
Srinath,Rakesh Chalasani. 2008. Feature Space Reductions Using Rough Sets
for a Rough-Neuro Hybrid Approach Based Pattern Classifier. Proceedings
of the World Congress on Engineering and Computer Science 2008, WCECS
2008, pp.975~979, San Francisco, USA. ISBN: 978-988-98671-0-2
Maharani, W. 21 Juni 2008. Analisis Performansi Algoritma Rough Adaptive NeuroFuzzy Inference System. Seminar Nasional Aplikasi Teknologi Informasi
2008 (SNATI 2008), pp. C39~C42, ISSN: 1907-5022 Yogyakarta.
Nurhayati. 2014. Metode Rough Set untuk Melihat Perilaku Suami yang Menjadi
Akseptor KB Vasektomi. Informasi dan Teknologi Ilmiah (INTI), Vol.6,
No.2, pp.94~99. ISSN : 2339-210X.
Pawlak, Z. 1982. Rough sets, International Journal of Computer and Information
Sciences. 11,341-356.
Universitas Sumatera Utara
52
Polkowski, L. 2002. Rough Sets Mathematical Foundations; Springer-Verlag Berlin
Heidelberg GmbH. Original published by Physica-Verlag Heidelberg. New
York. ISSN 1615-3871, ISBN 978-3-7908-1510-8, ISBN 978-3-7908
(eBook), DOI 10.1007/978-3-7908-1776-8
Radwan, Elsayed, & Adel M. A. Assiri. 2013. Thyroid Diagnosis based Technique on
Rouhg Set with Modified Similarity Relation. IJACSA (International Journal
of Advanced Computer Science and Appications), Vol. 4, No.10,
pp.120~126.
Sadek, Rowayda A., M. Sami Soliman, dan Hagar S. Salyed. November 2013.
Effective Anomaly Intrusion Detection System based on Neural Network with
Indicator Variable and Rough set Reduction. IJCSI (International Journal of
Computer Science Issues, Vol.10, Issue 6, No. 2, pp.227~233, ISSN
(print):1694-0814 | ISSN (online): 1694-0784.
Saindra, Gede S., & Reza Pulungan. January 2012. Reduksi Parameter Quality-OfService Menggunakan Rough-Set-Theory Dalam Simulasi Routing Algoritma
Dijkstra. IJCCS, Vol.6, No.1, pp. 79~90. ISSN: 1978-1520.
Yao, Y.Y., S.K.M. Wong, and T.Y. Lin. 1997. A Review Of Rough Set Models. ISBN13: 978-1-4612-8637-0 e-ISBN-13: 978-1-4613-1461-5. DOl: 10.1007/9781-4613-1461-5.
Zadeh, L. 1965. Fuzzy sets, Information and Control. 8, 338-353.
Universitas Sumatera Utara