Penentuan Bobot Pada Multiple Attribute Decision Making (Madm) Dengan Menggunakan Perceptron
78
DAFTAR PUSTAKA
Bourgeois,
R.
2005.
Analytical
Hierarchy
Process:
anOverview
UNCAPSAUNESCAP. Bogor.
Chen, Y.M. & Huang, P.-N. 2007. Bi‐negotiation Integrated AHP in Suppliers
Selection. International Journal of Operations & Production Management,
Vol. 27 Iss: 11, pp.1254 – 1274
Fahmy Aly, Mohammed. & Abd El-Hammed, Hagag. 2013. Integrating AHP and
Genetic Algorithm Model Adopted for Personal Selection. International
Journal of Engineering Trends and Technology (IJETT) – Volume 6 Number
5- Dec 2013
Fan, Z., Ma, J. & Tian, P. 1994. “A Subjective and Objective Integrated Approach for
the Determination of Attribute Weights”, Kwoloon, Hongkong.
Han, J. Kamber, M. 2000. Data Mining: Concept and Techniques, Morgan Kaufman,
San Fransisco.
Han, J. Kamber, M. 2001. Data Mining: Concept, Models, Methods, and Algorithm.
Wiley-Itersience, New Jersey.
Kahraman, C., Cebeci, U. & Ulukan, Z. 2003. Multi-Criteria Supplier Selection
Using Fuzzy AHP. Logistics Information Management Volume 16 · Number 6 ·
2003 · pp. 382-394 q mcb up limited · ISSN 0957-6053
Macharis, C., Springael J., De Brucker, K., Verbeke, A. 2004. Promethee and AHP:
The design of operational synergies in multicriteria analysis. Strengthening
Promethee with ideas of AHP. European Journal of Operational Research
153: 307-317
M, Bohanec and V. Rajkovic. 1988. Knowledge acquisition and explanation for multi
attribute decision making. In 8th Intl Workshop on Expert Systems and their
Applications, Avignon, France. pages 59-78
Minsky, M.& Papert, S. 1969. Perceptrons: an Introduction to Computational
Geometry. Terjemahan Lily W.
M. Tim Jones. 2008. Artificial Intelligence: A Systems Approach ISBN: 978-09778582-3-1
Oladokun, V.O., A.T. Adebanjo & O.E.Charles-Owaba. 2008. “Predicting
Students’Academic Performance using Artificial Neural Network: A Case
Study of an Engineering Course”. Pacific Journal of Science and Technology.
9(1):72-79
Percin, S. 2006 "An application of the integrated AHP‐PGP model in supplier
selection", Measuring Business Excellence, Vol. 10 Iss: 4, pp.34 - 49
Saaty, T. L. 2008. Decision making with the Analytic Hierarchy Process.
International Journal of Services Sciences, Volume 1, hal. 83-97.
Saremi, M., Mousavi, S.F., Sanayei, A. 2009. TQM consultant selection in SMEs with
TOPSIS under fuzzyenvironment. Expert Systems with Application, 36, 2742–
2749.
Turban, E., Jay. A, Ting., L. P. 2005. Decision Support Systems and Intellegent
Systems. New Jersey : Pearson Education, Inc.
79
Trudel, B. B. & Zaras, K. 2012. Comparison of Analytic Hierarchy Process and
Dominance-Based Rough Set Approach as Multi-CriteriaDecision Aid
Methods for the Selection of Investment Projects. American Journal of
Industrial and Business Management, 2012, 2, 7-12
Tu, C. S., Chang, C. T., Chen, K.,K, Lu, H.A. 2010. Applying an AHP - QFD
Conceptual Model and Zero-One Goal Programming toRequirement-Based
Site Selection for an Airport Cargo Logistics Center. International Journal of
Information and Management Sciences 21, pp. 407-430
DAFTAR PUSTAKA
Bourgeois,
R.
2005.
Analytical
Hierarchy
Process:
anOverview
UNCAPSAUNESCAP. Bogor.
Chen, Y.M. & Huang, P.-N. 2007. Bi‐negotiation Integrated AHP in Suppliers
Selection. International Journal of Operations & Production Management,
Vol. 27 Iss: 11, pp.1254 – 1274
Fahmy Aly, Mohammed. & Abd El-Hammed, Hagag. 2013. Integrating AHP and
Genetic Algorithm Model Adopted for Personal Selection. International
Journal of Engineering Trends and Technology (IJETT) – Volume 6 Number
5- Dec 2013
Fan, Z., Ma, J. & Tian, P. 1994. “A Subjective and Objective Integrated Approach for
the Determination of Attribute Weights”, Kwoloon, Hongkong.
Han, J. Kamber, M. 2000. Data Mining: Concept and Techniques, Morgan Kaufman,
San Fransisco.
Han, J. Kamber, M. 2001. Data Mining: Concept, Models, Methods, and Algorithm.
Wiley-Itersience, New Jersey.
Kahraman, C., Cebeci, U. & Ulukan, Z. 2003. Multi-Criteria Supplier Selection
Using Fuzzy AHP. Logistics Information Management Volume 16 · Number 6 ·
2003 · pp. 382-394 q mcb up limited · ISSN 0957-6053
Macharis, C., Springael J., De Brucker, K., Verbeke, A. 2004. Promethee and AHP:
The design of operational synergies in multicriteria analysis. Strengthening
Promethee with ideas of AHP. European Journal of Operational Research
153: 307-317
M, Bohanec and V. Rajkovic. 1988. Knowledge acquisition and explanation for multi
attribute decision making. In 8th Intl Workshop on Expert Systems and their
Applications, Avignon, France. pages 59-78
Minsky, M.& Papert, S. 1969. Perceptrons: an Introduction to Computational
Geometry. Terjemahan Lily W.
M. Tim Jones. 2008. Artificial Intelligence: A Systems Approach ISBN: 978-09778582-3-1
Oladokun, V.O., A.T. Adebanjo & O.E.Charles-Owaba. 2008. “Predicting
Students’Academic Performance using Artificial Neural Network: A Case
Study of an Engineering Course”. Pacific Journal of Science and Technology.
9(1):72-79
Percin, S. 2006 "An application of the integrated AHP‐PGP model in supplier
selection", Measuring Business Excellence, Vol. 10 Iss: 4, pp.34 - 49
Saaty, T. L. 2008. Decision making with the Analytic Hierarchy Process.
International Journal of Services Sciences, Volume 1, hal. 83-97.
Saremi, M., Mousavi, S.F., Sanayei, A. 2009. TQM consultant selection in SMEs with
TOPSIS under fuzzyenvironment. Expert Systems with Application, 36, 2742–
2749.
Turban, E., Jay. A, Ting., L. P. 2005. Decision Support Systems and Intellegent
Systems. New Jersey : Pearson Education, Inc.
79
Trudel, B. B. & Zaras, K. 2012. Comparison of Analytic Hierarchy Process and
Dominance-Based Rough Set Approach as Multi-CriteriaDecision Aid
Methods for the Selection of Investment Projects. American Journal of
Industrial and Business Management, 2012, 2, 7-12
Tu, C. S., Chang, C. T., Chen, K.,K, Lu, H.A. 2010. Applying an AHP - QFD
Conceptual Model and Zero-One Goal Programming toRequirement-Based
Site Selection for an Airport Cargo Logistics Center. International Journal of
Information and Management Sciences 21, pp. 407-430