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Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance

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  • Xiaoli Tian

    (School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, P. R. China)

  • Zeshui Xu

    (#x2020;Business School, Sichuan University, Chengdu 610064, P. R. China)

  • Xinxin Wang

    (#x2020;Business School, Sichuan University, Chengdu 610064, P. R. China)

  • Jing Gu

    (#x2021;School of Economics, Sichuan University, Chengdu 610064, P. R. China)

  • Fawaz E. Alsaadi

    (#xA7;Department of Information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia)

Abstract

QUALIFLEX is a flexible method to solve the multi-criteria decision-making problem with a few alternatives. Moreover, the linguistic term is a very general way used by decision makers (DMs) to express their real perceptions. In particular, the probabilistic linguistic information, including the probability of each linguistic term, can simulate the vague perceptions of the DMs well. Therefore, the main contributions of this paper are constructing two novel QUALIFLEX with probabilistic linguistic information. First, based on the classical QUALIFLEX, it has been extended under probabilistic linguistic circumstance. Secondly, it is common for the DMs to have different risk attitudes for gains and losses when making their decisions under uncertainty, which is well explained by prospect theory (PT). Hence, PT has been integrated into the extended QUALIFLEX. Then, in this paper, a prospect QUALIFLEX is proposed as well. The feasibility and validity of the proposed methods have been verified by a numerical example in venture capital. The comparative and simulated analysis shows that the latter method with prospect framework is more appropriate than the former one because of the inherent psychological behaviors of the DMs and its excellent ability in identifying the similar alternatives. Furthermore, the ranking results derived from the prospect QUALIFLEX do not change with the different values of parameters. It reveals that the prospect QUALIFLEX is stable and reliable.

Suggested Citation

  • Xiaoli Tian & Zeshui Xu & Xinxin Wang & Jing Gu & Fawaz E. Alsaadi, 2019. "Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1379-1402, July.
    • Handle: RePEc:wsi:ijitdm:v:18:y:2019:i:04:n:s0219622019500226
    DOI: 10.1142/S0219622019500226
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    References listed on IDEAS

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    1. Zhang-peng Tian & Jing Wang & Jian-qiang Wang & Hong-yu Zhang, 2017. "Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development," Group Decision and Negotiation, Springer, vol. 26(3), pages 597-627, May.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Hinloopen, Edwin & Nijkamp, Peter & Rietveld, Piet, 2004. "Integration of ordinal and cardinal information in multi-criteria ranking with imperfect compensation," European Journal of Operational Research, Elsevier, vol. 158(2), pages 317-338, October.
    4. Pu Ji & Hong-yu Zhang & Jian-qiang Wang, 2017. "Fuzzy decision-making framework for treatment selection based on the combined QUALIFLEX–TODIM method," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(14), pages 3072-3086, October.
    5. Xu, Zeshui, 2005. "Deviation measures of linguistic preference relations in group decision making," Omega, Elsevier, vol. 33(3), pages 249-254, June.
    6. Yi-Xi Xue & Jian-Xin You & Xufeng Zhao & Hu-Chen Liu, 2016. "An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5452-5467, September.
    7. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    8. Juan-juan Peng & Jian-qiang Wang & Wu-E Yang, 2017. "A multi-valued neutrosophic qualitative flexible approach based on likelihood for multi-criteria decision-making problems," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(2), pages 425-435, January.
    9. Chen, Ting-Yu & Chang, Chien-Hung & Rachel Lu, Jui-fen, 2013. "The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making," European Journal of Operational Research, Elsevier, vol. 226(3), pages 615-625.
    10. J. H. P. Paelinck, 1976. "Qualitative Multiple Criteria Analysis, Environmental Protection And Multiregional Development," Papers in Regional Science, Wiley Blackwell, vol. 36(1), pages 59-76, January.
    11. Rebai, Abdelwaheb & Aouni, Belaid & Martel, Jean-Marc, 2006. "A multi-attribute method for choosing among potential alternatives with ordinal evaluation," European Journal of Operational Research, Elsevier, vol. 174(1), pages 360-373, October.
    12. Paelinck, J. H. P., 1978. "Qualiflex: A flexible multiple-criteria method," Economics Letters, Elsevier, vol. 1(3), pages 193-197.
    13. Xiaolu Zhang & Zeshui Xu & Manfeng Liu, 2016. "Hesitant Trapezoidal Fuzzy QUALIFLEX Method and Its Application in the Evaluation of Green Supply Chain Initiatives," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    14. J Paelinck, 1977. "Qualitative Multicriteria Analysis: An Application to Airport Location," Environment and Planning A, , vol. 9(8), pages 883-895, August.
    15. Ting-Yu Chen, 2013. "Data Construction Process And Qualiflex-Based Method For Multiple-Criteria Group Decision Making With Interval-Valued Intuitionistic Fuzzy Sets," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 425-467.
    16. Fabio Mattos & Philip Garcia, 2011. "Applications of Behavioral Finance to Entrepreneurs and Venture Capitalists: Decision Making Under Risk and Uncertainty in Futures and Options Markets," Springer Books, in: Advances in Entrepreneurial Finance, chapter 0, pages 141-172, Springer.
    17. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
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