448
Views
19
CrossRef citations to date
0
Altmetric
Articles

Optimisation of product form design using fuzzy integral-based Taguchi method

ORCID Icon & ORCID Icon
Pages 480-504 | Received 10 Dec 2016, Accepted 21 Jun 2017, Published online: 29 Jun 2017

References

  • Abhishek, K., S. Datta, and S. S. Mahapatra. 2016. “Multi-objective Optimization in Drilling of CFRP (Polyester) Composites: Application of a Fuzzy Embedded Harmony Search (HS) Algorithm.” Measurement 77: 222–239. doi: 10.1016/j.measurement.2015.09.015
  • Camargo, M., L. Wendling, and E. Bonjour. 2014. “A Fuzzy Integral Based Methodology to Elicit Semantic Spaces in Usability Tests.” International Journal of Industrial Ergonomics 44 (1): 11–17. doi: 10.1016/j.ergon.2013.08.007
  • Chang, H.-C., and H.-Y. Chen. 2014. “Optimizing Product Form Attractiveness Using Taguchi Method and TOPSIS Algorithm: A Case Study Involving a Passenger Car.” Concurrent Engineering-Research and Applications 22 (2): 135–147. doi: 10.1177/1063293X13520317
  • Chen, C.-C., and M.-C. Chuang. 2008. “Integrating the Kano Model Into a Robust Design Approach to Enhance Customer Satisfaction with Product Design.” International Journal of Production Economics 114 (2): 667–681. doi: 10.1016/j.ijpe.2008.02.015
  • Chiang, J.-H. 1999. “Choquet Fuzzy Integral-based Hierarchical Networks for Decision Analysis.” IEEE Transactions on Fuzzy Systems 7: 63–71. doi: 10.1109/91.746311
  • Choquet, G. 1954. “Theory of Capacities.” Annales de l’institut Fourier 5: 131–295. doi: 10.5802/aif.53
  • Delgado, M., F. Herrera, E. Herrera-Viedma, and L. Martínez. 1998. “Combining Numerical and Linguistic Information in Group Decision Making.” Information Sciences 107: 177–194. doi: 10.1016/S0020-0255(97)10044-5
  • Grabisch, M. 1995. “Fuzzy Integral in Multicriteria Decision Making.” Fuzzy Sets and Systems 69: 279–298. doi: 10.1016/0165-0114(94)00174-6
  • Grabisch, M. 1997. “K-order Additive Discrete Fuzzy Measures and their Representation.” Fuzzy Sets and Systems 92 (2): 167–189. doi: 10.1016/S0165-0114(97)00168-1
  • Guo, F., W. L. Liu, F. T. Liu, H. Wang, and T. B. Wang. 2014. “Emotional Design Method of Product Presented in Multi-dimensional Variables Based on Kansei Engineering.” Journal of Engineering Design 25 (4-6): 194–212. doi: 10.1080/09544828.2014.944488
  • Hsiao, S.-W., F.-Y. Chiu, and S.-H. Lu. 2010. “Product-form Design Model Based on Genetic Algorithms.” International Journal of Industrial Ergonomics 40 (3): 237–246. doi: 10.1016/j.ergon.2010.01.009
  • Hsiao, S.-W., and Y.-C. Ko. 2013. “A Study on Bicycle Appearance Preference by Using FCE and FAHP.” International Journal of Industrial Ergonomics 43 (4): 264–273. doi: 10.1016/j.ergon.2013.04.003
  • Hsieh, K. L., L. I. Tong, H. P. Chiu, and H. Y. Yeh. 2005. “Optimization of a Multi-response Problem in Taguchi’s Dynamic System.” Computers & Industrial Engineering 49 (4): 556–571. doi: 10.1016/j.cie.2005.08.002
  • Huang, H.-C., S. S.-D. Xu, and C. H. Wu. 2016. “A Hybrid Swarm Intelligence of Artificial Immune System Tuned with Taguchi-genetic Algorithm and its Field-programmable Gate Array Realization to Optimal Inverse Kinematics for an Articulated Industrial Robotic Manipulator.” Advances in Mechanical Engineering 8 (1): 1–10.
  • Ishii, K., and M. Sugeno. 1985. “A Model of Human Evaluation Process Using Fuzzy Measure.” International Journal of Man-Machine Studies 22: 19–38. doi: 10.1016/S0020-7373(85)80075-4
  • Ishikawa, K. 1982. Guide to Quality Control. Tokyo: Asian Productivity Organization.
  • Jeyapaul, R., P. Shahabudeen, and K. Krishnaiah. 2005. “Quality Management Research by Considering Multi-response Problems in the Taguchi Method – a Review.” The International Journal of Advanced Manufacturing Technology 26 (11): 1331–1337. doi: 10.1007/s00170-004-2102-y
  • Kacprzyk, J., and S. A. Orlovski. 1987. Optimization Models Using Fuzzy Sets and Possibility Theory. Dordrecht, Holland: D. Reidel Publishing Company.
  • Kaufmann, A., and M. M. Gupta. 1991. Introduction to Fuzzy Arithmetic: Theory and Applications. New York: Van Nostrand Reinhold.
  • Lai, H.-H., Y.-M. Chang, and H.-C. Chang. 2005. “A Robust Design Approach for Enhancing the Feeling Quality of a Product: A Car Profile Case Study.” International Journal of Industrial Ergonomics 35 (5): 445–460. doi: 10.1016/j.ergon.2004.10.008
  • Lau, C.-S., M. Z. Abdullah, and C. Y. Khor. 2013. “Optimization of the Reflow Soldering Process with Multiple Quality Characteristics in Ball Grid Array Packaging by Using the Grey-based Taguchi Method.” Microelectronics International 30 (3): 151–168. doi: 10.1108/MI-09-2012-0067
  • Lin, C. L. 2004. “Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics.” Materials and Manufacturing Processes 19 (2): 209–220. doi: 10.1081/AMP-120029852
  • Lin, H.-F., and G.-G. Lee. 2006. “A Study of Service Quality Evaluation Model for Virtual Knowledge Communities.” Electronic Commerce Studies 4 (2): 211–234.
  • Liou, J. J. H., Y.-C. Chuang, and G.-H. Tzeng. 2014. “A Fuzzy Integral-based Model for Supplier Evaluation and Improvement.” Information Sciences 266: 199–217. doi: 10.1016/j.ins.2013.09.025
  • Lopes, Dias, L. G. T, G. Brito, A. P. Paiva, R. S. Peruchi, and P. P. Balestrassi. 2016. “Robust Parameter Optimization Based on Multivariate Normal Boundary Intersection.” Computers & Industrial Engineering 93: 55–66. doi: 10.1016/j.cie.2015.12.023
  • Nagamachi, M. 2002. “Kansei Engineering as a Powerful Consumer-oriented Technology for Product Development.” Applied Ergonomics 33 (3): 289–294. doi: 10.1016/S0003-6870(02)00019-4
  • Nagamachi, M. 2010. Kansei/Affective Engineering. Boca Raton: CRC Press.
  • Oztekin, A., A. Iseri, S. Zaim, and A. Nikov. 2013. “A Taguchi-based Kansei Engineering Study of Mobile Phones at Product Design Stage.” Production Planning & Control 24 (6): 465–474. doi: 10.1080/09537287.2011.633575
  • Peng, J.-P., W.-C. Yeh, T.-C. Lai, and C.-B. Hsu. 2015. “The Incorporation of the Taguchi and the VIKOR Methods to Optimize Multi-response Problems in Intuitionistic Fuzzy Environments.” Journal of the Chinese Institute of Engineers 38 (7): 897–907. doi: 10.1080/02533839.2015.1037994
  • Ren, J., J. Zhou, and J. Wei. 2015. “Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method.” Advances in Mechanical Engineering 7 (2): 1–10. doi: 10.1155/2014/721093
  • Renaud, J., E. Levrat, and C. Fonteix. 2008. “Weights Determination of OWA Operators by Parametric Identification.” Mathematics and Computers in Simulation 77: 499–511. doi: 10.1016/j.matcom.2007.11.024
  • Roozenburg, N. F., and J. Eekels. 1995. Product Design: Fundamentals and Methods. Baffins Lane, Chichester: John Wiley & Sons.
  • Sauro, J., and J. Lewis. 2016. Quantifying the User Experience: Practical Statistics for User Research. 2nd ed. Cambridge, MA, USA: Morgan Kaufmann.
  • Sivapragash, M., P. Kumaradhas, B. S. J. Retnam, X. F. Joseph, and U. T. S. Pillai. 2016. “Taguchi Based Genetic Approach for Optimizing the PVD Process Parameter for Coating ZrN on AZ91D Magnesium Alloy.” Materials & Design 90: 713–722. doi: 10.1016/j.matdes.2015.11.027
  • Sugeno, M. 1974. Theory of Fuzzy Integrals and Its Applications. Tokyo: Tokyo Institute of Technology.
  • Taguchi, G. 1987. System of Experimental Design: Engineering Methods to Optimize Quality and Minimize Costs. New York: UNIPUB/Kraus International Publications.
  • Taguchi, G., S. Chowdhury, and Y. Wu. 2005. Taguchi’s Quality Engineering Handbook. Hoboken, NJ: John Wiley & Sons.
  • Tahani, H., and J. M. Keller. 1990. “Information Fusion in Computer Vision Using the Fuzzy Integral.” IEEE Transactions on Systems, Man, and Cybernetics 20: 733–741. doi: 10.1109/21.57289
  • Temko, A., D. Macho, and C. Nadeu. 2008. “Fuzzy Integral Based Information Fusion for Classification of Highly Confusable non-Speech Sounds.” Pattern Recognition 41 (5): 1814–1823. doi: 10.1016/j.patcog.2007.10.026
  • Tsai, T.-N. 2011. “Improving the Fine-pitch Stencil Printing Capability Using the Taguchi Method and Taguchi Fuzzy-based Model.” Robotics and Computer-Integrated Manufacturing 27 (4): 808–817. doi: 10.1016/j.rcim.2011.01.002
  • Tsai, M.-T., H.-J. Gow, and W.-M. Lin. 2011. “Hybrid Taguchi-immune Algorithm for the Thermal Unit Commitment.” International Journal of Electrical Power & Energy Systems 33 (4): 1062–1069. doi: 10.1016/j.ijepes.2011.01.025
  • Wang, S. S., F. J. Shiou, C. C. Tsao, S. W. Huang, and C. Y. Hsu. 2013. “An Evaluation of the Deposition Parameters for Indium Sulfide (In2S3) Thin Films Using the Grey-based Taguchi Method.” Materials Science in Semiconductor Processing 16 (6): 1879–1887. doi: 10.1016/j.mssp.2013.06.012
  • Yadav, H. C., R. Jain, A. R. Singh, and P. K. Mishra. 2013. “Aesthetical Design of a Car Profile: A Kano Model-based Hybrid Approach.” The International Journal of Advanced Manufacturing Technology 67: 2137–2155. doi: 10.1007/s00170-012-4636-8
  • Zimmermann, H.-J. 2001. Fuzzy Set Theory and Its Applications. 4th ed. Boston: Kluwer Academic Publishers.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.