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B2C Marketplace Prioritization Using Hesitant Fuzzy Linguistic AHP

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Abstract

Commercial Internet rapidly developed through Business to Customer (B2C) businesses since 1990s. B2C provides free online services and discounted shopping to customers. There are lots of B2C firm alternatives in the internet for a customer who seeks for a profitable business. The selection among these B2C alternatives is a multi-attribute decision-making problem with many tangible and intangible criteria under vagueness and impreciseness. In this paper, we propose a hesitant fuzzy linguistic analytic hierarchy process method for the selection among B2C firms. Hesitant fuzzy linguistic term sets are used for the assessments in the pairwise comparison matrices. An ordered weighted averaging operator is used for aggregation operator. A sensitivity analysis is also given to check the robustness of the obtained result.

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References

  1. Buckley, J.J.: Fuzzy hierarchical analysis. Fuzzy Sets Syst. 34, 187–195 (1985)

    Article  MathSciNet  Google Scholar 

  2. Büyüközkan, G.: Multi-criteria decision making for e-marketplace selection. Internet Research 14(2), 139–154 (2004)

    Article  Google Scholar 

  3. Büyüközkan, G., Çifçi, G.: A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Syst. Appl. 39(3), 2341–2354 (2012)

    Article  Google Scholar 

  4. Cebi, S.: A quality evaluation model for the design quality of online shopping websites. Electron. Commer. Res. Appl. 12(2), 124–135 (2013)

    Article  Google Scholar 

  5. Cevik, Onar S., Buyukozkan, G., Oztaysi, B., Kahraman, C.: A new hesitant fuzzy QFD approach. Appl. Soft Comput. 46, 1–16 (2016)

    Article  Google Scholar 

  6. Chang, K.-H.: A more general reliability allocation method using the hesitant fuzzy linguistic term set and minimal variance OWGA weights. Appl. Soft Comput. 56, 589–596 (2017)

    Article  Google Scholar 

  7. Chen, N., Xu, Z.S., Xia, M.M.: Interval-valued hesitant preference relations and their applications to group decision making. Knowl. Based Syst. 37, 528–540 (2013)

    Article  Google Scholar 

  8. Chen, S.-M., Hong, J.-A.: Multicriteria linguistic decision making based on hesitant fuzzy linguistic term sets and the aggregation of fuzzy sets. Inf. Sci. 286, 63–74 (2014)

    Article  Google Scholar 

  9. Chen, Z.-S., Chin, K.-S., Li, Y.-L., Yang, Y.: Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making. Inf. Sci. 357, 61–87 (2016)

    Article  MathSciNet  Google Scholar 

  10. Chiu, W.Y., Tzeng, G.H., Li, H.L.: A new hybrid MCDM model combining DANP with VIKOR to improve e-store business. Knowl. Based Syst. 37, 48–61 (2013)

    Article  Google Scholar 

  11. Chou, W.C., Cheng, Y.P.: A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms. Expert Syst. Appl. 39(3), 2783–2793 (2012)

    Article  MathSciNet  Google Scholar 

  12. Denguir-Rekik, A., Montmain, J., Mauris, G.: A possibilistic-valued multi-criteria decision-making support for marketing activities in e-commerce: feedback based diagnosis system. Eur. J. Oper. Res. 195(3), 876–888 (2009)

    Article  MathSciNet  Google Scholar 

  13. Esposito, C., Castiglione, A., Palmieri, F., Ficco, M.: Trust management for distributed heterogeneous systems by using linguistic term sets and hierarchies, aggregation operators and mechanism design. Future Gener. Comput. Syst. 74, 325–336 (2017)

    Article  Google Scholar 

  14. Farhadinia, B.: Multiple criteria decision-making methods with completely unknown weights in hesitant fuzzy linguistic term setting. Knowl. Based Syst. 93, 135–144 (2016)

    Article  Google Scholar 

  15. Filev, D., Yager, R.R.: On the issue of obtaining OWA operator weights. Fuzzy Sets Syst. 94(2), 157–169 (1998)

    Article  MathSciNet  Google Scholar 

  16. Gou, X.J., Liao, H., Xu, Z., Herrera, F.: Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: a case of study to evaluate the implementation status of haze controlling measures. Inf. Fus. 38, 22–34 (2017)

    Article  Google Scholar 

  17. Gou, X.J., Xu, Z.: Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Inf. Sci. 372, 407–427 (2016)

    Article  Google Scholar 

  18. Herrera-Viedma, E., Peis, E., Morales-del-Castillo, J.M., Alonso, S., Anaya, K.: A fuzzy linguistic model to evaluate the quality of Web sites that store XML documents. Int. J. Approx. Reason. 46(1), 226–253 (2007)

    Article  Google Scholar 

  19. Hsu, T.H., Hung, L.C., Tang, J.W.: A hybrid ANP evaluation model for electronic service quality. Appl. Soft Comput. 12(1), 72–81 (2012)

    Article  Google Scholar 

  20. Hyperwallet.: The state of e-commerce marketplace selling in 2017: a study on the behaviors and preferences of e-commerce marketplace sellers. https://www.hyperwallet.com/resources/ecommerce-marketplaces/report-2017 (2017). Last Accessed 30 April 2017

  21. Kaya, T.: Multi-attribute evaluation of website quality in e-business using an integrated fuzzy AHP TOPSIS methodology. Int. J. Comput. Intell. Syst. 3(3), 301–314 (2010)

    Article  Google Scholar 

  22. Khishtandar, S., Zandieh, M., Dorri, B.: A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: the case of Iran. Renew. Sustain. Energy Rev. 77, 1130–1145 (2017)

    Article  Google Scholar 

  23. Lee, L.-W., Chen, S.-M.: Fuzzy decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators. Inf. Sci. 294, 513–529 (2015)

    Article  MathSciNet  Google Scholar 

  24. Liao, H., Xu, Z.S.: A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optim. Decis. Mak. 12(4), 373–392 (2013)

    Article  MathSciNet  Google Scholar 

  25. Liao, H., Xu, Z.S., Zeng, X.J.: Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf. Sci. 271, 125–142 (2014)

    Article  MathSciNet  Google Scholar 

  26. Liao, H., Xu, Z.S., Zeng, X.J., Merigó, J.M.: Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst. 76, 127–138 (2015)

    Article  Google Scholar 

  27. Lin, H.F.: An application of fuzzy AHP for evaluating course website quality. Comput. Educ. 54(4), 877–888 (2010)

    Article  Google Scholar 

  28. Liu, H., Rodriguez, R.M.: A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making. Inf. Sci. 258, 220–238 (2014)

    Article  MathSciNet  Google Scholar 

  29. Modarres, M., Sadi-Nezhad, S.: Fuzzy simple additive weighting method by preference ratio. Intell. Autom. Soft Comput. 11(4), 235–244 (2005)

    Article  Google Scholar 

  30. Montes, R., Sanchez, A.M., Villar, P., Herrera, F.: A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Appl. Soft Comput. 35, 949–957 (2015)

    Article  Google Scholar 

  31. Montes, R., Sanchez, A.M., Villar, P., Herrera, F.: Teranga Go!: carpooling collaborative consumption community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Appl. Soft Comput. (2017). https://doi.org/10.1016/j.asoc.2017.05.039

    Article  Google Scholar 

  32. Montserrat-Adell, J., Agell, N., Sanchez, M., Prats, F., Ruiz, F.J.: Modeling group assessments by means of hesitant fuzzy linguistic term sets. J. Appl. Logic 23, 40–50 (2017)

    Article  MathSciNet  Google Scholar 

  33. Muhtaseb, R., Lakiotaki, K., Matsatsinis, N.: Applying a multicriteria satisfaction analysis approach based on user preferences to rank usability attributes in e-tourism websites. J. Theor. Appl. Electron. Commer. Res. 7(3), 28–48 (2012)

    Article  Google Scholar 

  34. Nilashi, M., Ibrahim, O.B.: A model for detecting customer level intentions to purchase in B2C websites using TOPSIS and fuzzy logic rule-based system. Arab. J. Sci. Eng. 39(3), 1907–1922 (2014)

    Article  Google Scholar 

  35. Oztaysi B., Cevik Onar S., Bolturk E., Kahraman C.: Hesitant fuzzy analytic hierarchy process. In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Istanbul, pp. 1–7 (2015)

  36. Pearson, J.M., Pearson, A.M.: An exploratory study into determining the relative importance of key criteria in web usability: a multi-criteria approach. J. Comput. Inf. Syst. 48(4), 115–127 (2008)

    Google Scholar 

  37. Rodriguez, R.M., Martinez, L., Herrera, F.: Hesitant fuzzy linguistic terms sets for decision making. IEEE Trans. Fuzzy Syst. 20(1), 109–119 (2012)

    Article  Google Scholar 

  38. Rodríguez, R.M., Bedregal, B., Bustince, H., Dong, Y.C., Farhadinia, B., Kahraman, C., Martínez, L., Torra, V., Xu, Y.J., Xu, Z.S., Herrera, F.: A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Inf. Fus. 29, 89–97 (2016)

    Article  Google Scholar 

  39. Rodríguez, R.M., Martınez, L., Herrera, F.: A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Inf. Sci. 241, 28–42 (2013)

    Article  MathSciNet  Google Scholar 

  40. Ross, T.J.: Fuzzy logic with engineering applications. Wiley, Hoboken (2010)

    Book  Google Scholar 

  41. Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  42. Schiff J.L.: Pros and cons of selling on Amazon, eBay and Etsy. http://www.cio.com/article/2836077/e-commerce/pros-and-cons-of-selling-on-amazon-ebay-and-etsy.html (2014). Last Accessed 30 April 2017

  43. Shee, D.Y., Wang, Y.S.: Multi-criteria evaluation of the web-based e-learning system: a methodology based on learner satisfaction and its applications. Comput. Educ. 50(3), 894–905 (2008)

    Article  Google Scholar 

  44. Torra, V.: Hesitant fuzy sets. Int. J. Intell. Syst. 25, 529–539 (2010)

    MATH  Google Scholar 

  45. Turban, E., King, D., Lee, J.K., Liang, T.P., Turban, D.C.: Electronic commerce: a managerial and social networks perspective. Appl. Soft Comput. 46, 1–16 (2015)

    Google Scholar 

  46. Tzeng, G.H., Yang, Y.P.O., Lin, C.T., Chen, C.B.: Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites. Inf. Sci. 169(3–4), 409–426 (2005)

    Article  MathSciNet  Google Scholar 

  47. Wang, J., Wang, J.-Q., Zhang, H.-Y., Chen, X.-H.: Multi-criteria decision-making based on hesitant fuzzy linguistic term sets: an outranking approach. Knowl. Based Syst. 86, 224–236 (2015)

    Article  Google Scholar 

  48. Wang, H., Xu, Z.: Total orders of extended hesitant fuzzy linguistic term sets: definitions, generations and applications. Knowl. Based Syst. 107, 142–154 (2016)

    Article  Google Scholar 

  49. Wang, H., Xu, Z.S.: Interactive algorithms for improving incomplete linguistic preference relations based on consistency measures. Appl. Soft Comput. 42, 66–79 (2016)

    Article  Google Scholar 

  50. Wu, M., Wang, L., Li, M., Long, H.: An approach of product usability evaluation based on web mining in feature fatigue analysis. Comput. Ind. Eng. 75, 230–238 (2014)

    Article  Google Scholar 

  51. Xia, M.M., Xu, Z.S.: Hesitant fuzzy information aggregation in decision making. Int. J. Approx. Reason. 52(3), 395–407 (2011)

    Article  MathSciNet  Google Scholar 

  52. Xu, Y., Xu, A., Merigó, J.M., Wang, H.: Hesitant fuzzy linguistic ordered weighted distance operators for group decision making. J. Appl. Math. Comput. 49(1–2), 285–308 (2015)

    Article  MathSciNet  Google Scholar 

  53. Xu, Z.S., Xia, M.M.: Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. 181(11), 2128–2138 (2011)

    Article  MathSciNet  Google Scholar 

  54. Zhang, N., Wei, G.: Extension of VIKOR method for decision making problem based on hesitant fuzzy set. Appl. Math. Model. 37, 4938–4947 (2013)

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, 34367, Macka, Istanbul, Turkey

    Cengiz Kahraman, Sezi Çevik Onar & Başar Öztayşi

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  1. Cengiz Kahraman
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  2. Sezi Çevik Onar
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  3. Başar Öztayşi
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Correspondence to Cengiz Kahraman.

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Kahraman, C., Onar, S.Ç. & Öztayşi, B. B2C Marketplace Prioritization Using Hesitant Fuzzy Linguistic AHP. Int. J. Fuzzy Syst. 20, 2202–2215 (2018). https://doi.org/10.1007/s40815-017-0429-4

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  • DOI: https://doi.org/10.1007/s40815-017-0429-4

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