Configuration Evaluation of Printing Machine Based on Intuitionistic Fuzzy Entropy and TOPSIS

Abstract:

Servo system plays a critical role in printing and die-cutting machinery of corrugated board (PDCMCB) with electronic line-shafting, and the configuration of servo can contribute to the performance of PDCMCB with electronic line-shafting. The paper presented the evaluation approach of servo configuration with intuitionistic fuzzy set (IFS), intuitionistic fuzzy entropy (IFE ) and technique for order preference by similarity to ideal solution (TOPSIS) to improve the effectiveness and objectivity of servo configuration evaluation of PDCMCB. IFS and IFE were used to obtain criteria weights integrating with maximal deviation entropy model, and TOPSIS was performed to calculate the final ranking order of servo configuration of PDCMCB with electronic line-shafting. Finally, an example was used to illustrate the proposed method of configuration evaluation and the results indicated the proposed approach could effectively perform servo configuration evaluation for PDCMCB.

• Periodical: Advanced Materials Research (Volume 646)
• Pages: 113-119
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.646.113
• Online since: January 2013
• Authors: Hong Bin Pu, Xi Nan Zeng, Wei Guang Li
• Keywords: Evaluation, Intuitionistic Fuzzy Entropy, Printing Machine, TOPSIS

References

[1] Valenzuela, M.A. and R.D. Lorenz. Electronic line-shafting control for paper machine drives. in Industry Applications Conference, 2000. Conference Record of the 2000 IEEE. (2000).

DOI: 10.1109/papcon.2000.854202

[2] Valenzuela, M.A. and R.D. Lorenz, Electronic line-shafting control for paper machine drives. Industry Applications, IEEE Transactions on, 2001. 37(1): pp.158-164.

DOI: 10.1109/28.903141

[3] Dou, J. -p., X. -z. Dai, and Z. -d. Meng, Configuration selection of reconfigurable manufacturing system based on hybrid analytical hierarchy process. Computer Integrated Manufacturing Systems, 2007. 13(7): pp.1360-6.

[4] Chatterjee, P., V.M. Athawale, and S. Chakraborty, Selection of industrial robots using compromise ranking and outranking methods. Robotics and Computer-Integrated Manufacturing, 2010. 26(5): pp.483-489.

DOI: 10.1016/j.rcim.2010.03.007

[5] Mahapatra, S.S. and R.K. Das, FMS selection based on area method under fuzzy environment. International Journal of Services and Operations Management, 2010. 7(3): pp.378-99.

DOI: 10.1504/ijsom.2010.035058

[6] Yazdani-Chamzini, A. and S.H. Yakhchali, Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods. Tunnelling and Underground Space Technology, 2012. 30: pp.194-204.

DOI: 10.1016/j.tust.2012.02.021

[7] Ayag, Z. and R.G. Ozdemir, An intelligent approach to machine tool selection through fuzzy analytic network process. Journal of Intelligent Manufacturing, 2011. 22(2): pp.163-177.

DOI: 10.1007/s10845-009-0269-7

[8] Atanassov, K.T., Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 1986. 20(1): pp.87-96.

DOI: 10.1016/s0165-0114(86)80034-3

[9] Zhang, S. -f. and S. -y. Liu, A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications, 2011. 38(9): pp.11401-11405.

DOI: 10.1016/j.eswa.2011.03.012

[10] Wu, J. -Z. and Q. Zhang, Multicriteria decision making method based on intuitionistic fuzzy weighted entropy. Expert Systems with Applications, 2011. 38(1): pp.916-922.

DOI: 10.1016/j.eswa.2010.07.073

[11] Chen, S.J. and C.L. Hwang, Fuzzy mulitple attribute decision making: Methods and application1992, Berlin: Springer-Verlag.

[12] Shan, L., Research on Vendor Selection Based on Intuitionistic Fuzzy Sets, in Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering, L.Z. Jiang, Editor 2011. pp.645-652.

DOI: 10.1007/978-3-642-25185-6_82

[13] Boran, F.E., S. Genc, and D. Akay, Personnel Selection Based on Intuitionistic Fuzzy Sets. Human Factors and Ergonomics in Manufacturing & Service Industries, 2011. 21(5): pp.493-503.

DOI: 10.1002/hfm.20252

[14] Xu, M., Q. Chen, and L. Cui, An Improved Approach for Supplier Selection in Project Material Bidding Procurement. Proceedings of the 1st International Conference on Sustainable Construction & Risk Management, Vols I and Ii, ed. D. Wu, et al. 2010. 330-335.

DOI: 10.1007/978-3-642-15243-6_1

[15] Sreeda, K.N. and R. Sattanathan, A Model for TOPSIS method based on Intuitionistic Fuzzy Sets. Ultra Scientist of Physical Sciences, 2009. 21(2(M): pp.365-70.

[16] Lixandroiu, D., A MULTI-ATTRIBUTE DECISION ALGORITHM BASED ON INTUITIONISTIC FUZZY SETS. Proceedings of the 4th International Conference on Business Excellence, Vol 1, ed. C. Bratianu, D. Lixandroiu, and N.A. Pop2009. 247-250.

[17] Boran, F.E., et al., A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 2009. 36(8): pp.11363-11368.

DOI: 10.1016/j.eswa.2009.03.039

[18] Xu, Z., Intuitionistic fuzzy aggregation operators. Ieee Transactions on Fuzzy Systems, 2007. 15(6): pp.1179-1187.

DOI: 10.1109/tfuzz.2006.890678

[19] Vlachos, I.K. and G.D. Sergiadis, Intuitionistic fuzzy information - Applications to pattern recognition. Pattern Recognition Letters, 2007. 28(2): pp.197-206.

DOI: 10.1016/j.patrec.2006.07.004

[20] Pu, H., W. Li, and Q. Liu. The platform architecture of digital design and manufacture for Printing and Die-Cutting Machinery of Corrugated Board based on MAS. in 2011 International Conference on Sustainable Construction Materials and Computer Engineering, ICSCMCE2011, September 24, 2011 - September 25, 2011. 2012. Kunming, China: Trans Tech Publications.

DOI: 10.4028/www.scientific.net/amr.346.280