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Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators

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  • Published: 01 April 2016
  • Volume 9, pages 213–226, (2016)
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International Journal of Computational Intelligence Systems Aims and scope Submit manuscript
Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators
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  • I. Feki1,
  • X. Zeng2,
  • A. Ghith3,
  • L. Koehl2,
  • F. Msahli1 &
  • …
  • F. Sakli4 

  • 35 Accesses

  • Explore all metrics

Abstract

The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important ones for quality characterization. The main contribution of the paper is combining of fuzzy method and ordered weighted averaging (OWA) operators to achieve our aim. The proposed selection method, considered as a Multi-Evaluators and Multi-Criteria Decision Making (ME-MCDM) technique, has been developed using fuzzy sensitivity (FS) criterion for ranking and OWA operator to aggregate the aforementioned ranking lists. Finally, by introducing a smart percolation technique we get automatically the most relevant physical features for a given sensory descriptor. The suggested approach is applied to a selection problem of textile physical features.

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References

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    Google Scholar 

  2. S. Kawabata and M. Niwa, Objective measurement of fabric hand, in Modern Textile Characterization Methods, M. Raheel and M. Dekker, eds. (1996), pp. 329–354.

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  35. C. J. Kim and E. A. Vaughn, J. Text. Mach. Soc. Jpn. 32(6) (1979) 43–52.

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Authors and Affiliations

  1. Etude des Systèmes Industriels et des Energies Renouvelables (ESIER) Ecole Nationale d’Ingénieurs de Monastir, University of Monastir, Tunisia

    I. Feki & F. Msahli

  2. Laboratoire GE.M.TEX. Ecole Nationale Supérieure des Arts et Industries textiles, Roubaix Université Lille 1, France

    X. Zeng & L. Koehl

  3. Département de Génie Textile Ecole Nationale d’Ingénieurs de Monastir, University of Monastir, Tunisia

    A. Ghith

  4. Laboratoire de Génie Textile, Institut Supérieur aux Etudes Technologiques de Ksar Hellal, Tunisia

    F. Sakli

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  1. I. Feki
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  2. X. Zeng
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  3. A. Ghith
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  4. L. Koehl
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  5. F. Msahli
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Correspondence to I. Feki.

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Feki, I., Zeng, X., Ghith, A. et al. Selecting Multiple Evaluator’s Perception-Oriented Relevant Physical Features of Consumer Goods by Using Fuzzy Data Sensitivity and OWA Operators. Int J Comput Intell Syst 9, 213–226 (2016). https://doi.org/10.1080/18756891.2016.1149997

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  • Received: 02 July 2015

  • Accepted: 03 January 2016

  • Published: 01 April 2016

  • Issue Date: January 2016

  • DOI: https://doi.org/10.1080/18756891.2016.1149997

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Keywords

  • feature selection
  • fuzzy logic
  • data sensitivity
  • OWA operators
  • Multi-criteria decision making
  • percolation technique
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  1. H. Stone and J.L. Sidel (eds.), Sensory Evaluation Practices, 3rd edn. (Academic Press, San Diego, 2004).

    Google Scholar 

  2. S. Kawabata and M. Niwa, Objective measurement of fabric hand, in Modern Textile Characterization Methods, M. Raheel and M. Dekker, eds. (1996), pp. 329–354.

    Google Scholar 

  3. Y. E. Elmogahzy, F. S. Kilinc, and M. Hassan, 3 -Developments in measurement and evaluation of fabric hand, in Effect of Mechanical and Physical Properties on Fabric Hand, Hassan M. Behery, eds. (Woodhead Publishing, 2005), pp. 45–65.

    Google Scholar 

  4. J. Lu, Y. Zhu, X. Zeng, L. Koehl, J. Ma, and G. Zhang, Fuzzy Optim. Decis. Ma. 8(4) (2009) 395–413.

    Google Scholar 

  5. C. Tomasino, 9 - Effect of wet processing and chemical finishing on fabric hand, in Effect of Mechanical and Physical Properties on Fabric Hand, Hassan M. Behery, eds. (Woodhead Publishing, 2005), pp. 289–341.

    Google Scholar 

  6. T. Deng, C. Yang, and Q. Hu, Int. J. Comput. Int. Sys. 4(4) (2011) 655–671.

  7. P. Vroman, L. Koehl, X. Zeng, and T. Chen, Int. J. Comput. Int. Sys. 1(4) (2008) 329–339.

  8. X. Deng, X. Zeng, P. Vroman, and L. Koehl, Eng. Appl. Artif. Intell. 23(8) (2010) 1368–1379.

  9. Y. Zhu, D. Ruan, X. Zeng, L. Koehl, and C. Chaigneau, Int. J. Comput. Int. Sys. 3(4) (2010) 452–460.

  10. A. L. Blum and P. Langley, Artif. Intell. 97 (1997) 245–271.

  11. P. C. Chang, C. Y. Fan, and W. Y. Dzan, Expert Syst. Appl. 37(1) (2010) 214–225.

  12. S. Perçin and C. Kahraman, Int. J. Comput. Int. Sys. 3(5) (2010) 610–621.

  13. F. Cebi and L Otay, Int. J. Comput. Int. Sys. 8(2) (2014) 330–344.

  14. I. Feki, F. Msahli, X. Zeng, and L. Koehl, Selecting relevant parameters of a textile process using fuzzy sensitivity and OWA operators, in Decision Making and Soft Computing, R. M. De Moraes, E. E Kerre, L. S. Machado et al., eds. (World Scientific, Singapore, 2014), pp. 631–636.

    Google Scholar 

  15. C. Kahraman, S. C. Onar, and B. Oztaysi, Int. J. Comput. Int. Sys. 8(4) (2015) 637–666.

  16. Rank Correlation Methods, 3rd edn. (Charles Griffin, London, 1962).

  17. R. R. Yager, IEEE T. Syst. Man Cyb. 18(1) (1988) 183–190.

  18. J. Liu, S. Lin, H. Chen, and L. Zhou, Group. Decis. Negot. 22(4) (2013) 715–738.

  19. R. R. Yager, Fuzzy Optim. Decis. Ma. 3 (2004) 93–107.

  20. Y. M. Wang, Y. Luo, and Z. Hua, Inform. Sciences 177(16) (2007) 3356–3363.

  21. I. Palomares, Applying OWA Operators and RIM Quantifiers to measure Consensus with Large Groups of Experts, in Proceedings of 6th International Summer School on Aggregation Operators AGOP 2011, B. De Baets, R. Mesiar, and L. Troiano, eds. (Benevento, 2011), pp. 125–130.

    Google Scholar 

  22. E. B. Fields, G. E. Okudan, and O. M. Ashour, Expert Syst. Appl. 40(4) (2013) 1305–1311.

  23. X. Liu, Inform. Sciences 179(8) (2009) 1193–1206.

  24. J. W. Wang, J. R. Chang, and C. H. Cheng, Soft Comput. 10(11) (2006) 1031–1042.

  25. L. A. Zadeh, Comput. Math. Appl. 9(1) (1983) 149–184.

  26. R. R. Yager, Int. J. Intell. Syst. 11(1) (1996) 49–73.

  27. R. Fullér, OWA operators in decision making, in Exploring the limits of support systems, C. Carlsson and A. Olayele, eds. (TUCS General Publications, Turku Centre for Computer Science, Åbo, 1996), Vol. 3, pp. 85–104.

    Google Scholar 

  28. W. F. Kilby, Journal of the Textile Institute Transactions 54(1) (1963) T9–T27.

  29. A. De Boos and D. Tester, Appendix B - SiroFAST–fabric assurance by simple testing*, in Effect of Mechanical and Physical Properties on Fabric Hand, H. M. Behery, eds. (Woodhead Publishing, 2005), pp. 443–463.

    Google Scholar 

  30. H. Wu and J. M. Mendel, IEEE T. Fuzzy Syst. 12(1) (2004) 29–44.

  31. E. H. Mamdani, IEEE T. Comput. C-26(12) (1977) 1182–1191.

  32. L. A. Zadeh, in Proceedings of the 10th international conference on Computational linguistics (Association for Computational Linguistics, Stanford, California, 1984), pp. 312–318.

    Google Scholar 

  33. J. Hu and Y. F. Chan, Text. Res. J. 68(1) (1998) 57–64.

  34. Effect of Mechanical and Physical Properties on Fabric Hand. (Woodhead Publishing Limited in Association with the Textile Institute CRC Press LLC, North America, 2005).

  35. C. J. Kim and E. A. Vaughn, J. Text. Mach. Soc. Jpn. 32(6) (1979) 43–52.

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