1,153
Views
5
CrossRef citations to date
0
Altmetric
Articles

Combined probabilistic linguistic term set and ELECTRE II method for solving a venture capital project evaluation problem

ORCID Icon, &
Pages 60-82 | Received 31 Oct 2020, Accepted 20 Jan 2021, Published online: 26 Feb 2021

References

  • Akram, M., Adeel, A., Al-Kenani, A. N., & Alcantud, J. C. R. (2020). Hesitant fuzzy N -soft ELECTRE-II model: A new framework for decision-making. Neural Computing and Applications, 32, 1–16. https://doi.org/10.1007/s00521-020-05498-y.
  • Alexopoulos, S., Siskos, Y., Tsotsolas, N., & Hristodoulakis, N. (2012). Evaluating strategic actions for a Greek publishing company. Operational Research, 12(2), 253–269. https://doi.org/10.1007/s12351-010-0092-0
  • Batterson, L. A. (1986). Raising venture capital and the entrepreneur. McGraw Hill Professional.
  • Benayoun, R., Roy, B., & Sussman, B. (1966). ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples. Note de travail no. 49, Direction Scientifique de la SEMA.
  • Celotto, A., Loia, V., & Senatore, S. (2015). Fuzzy linguistic approach to quality assessment model for electricity network infrastructure. Information Sciences, 304, 1–15. https://doi.org/10.1016/j.ins.2015.01.001
  • Chen, N., & Xu, Z. (2015). Hesitant fuzzy ELECTRE II approach: A new way to handle multi-criteria decision making problems. Information Sciences, 292, 175–197. https://doi.org/10.1016/j.ins.2014.08.054
  • Chen, T. (2020). New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach. Expert Systems with Applications, 147, 113164. https://doi.org/10.1016/j.eswa.2019.113164
  • Cheng, X., Gu, J., & Xu, Z. (2017). Venture capital group decision-making with interaction under probabilistic linguistic environment. Knowledge Based Systems, 140, 82–91.
  • Coronado, M., Dosal, E., Coz, A., Viguri, J. R., & Andres, A. (2011). Estimation of construction and demolition waste generation and multi-criteria analysis of management alternatives: A case study in Spain. Waste & Biomass Valorization, 2(2), 209–225.
  • Eckhardt, J. T., Shane, S., & Delmar, F. (2006). Multistage selection and the financing of new ventures. Management Science, 52(2), 220–232. https://doi.org/10.1287/mnsc.1050.0478
  • Elshorbagy, A. (2006). Multi-criterion decision analysis approach to assess the utility of watershed modeling for management decisions. Water Resources Research, 420(9), 2286–2292.
  • Ferreira, L., Borenstein, D., & Santi, E. (2016). Hybrid fuzzy MADM ranking procedure for better alternative discrimination. Engineering Applications of Artificial Intelligence, 50, 71–82. https://doi.org/10.1016/j.engappai.2015.12.012
  • Gershon, M., Duckstein, L., & Mcaniff, R. (1982). Multi-objective river basin planning with qualitative criteria. Water Resources Research, 18(2), 193–202. https://doi.org/10.1029/WR018i002p00193
  • Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: A review of MADM approaches. Ekonomska Istraivanja, 30(1), 1073–1118.
  • Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1), 1–29. https://doi.org/10.1016/j.ejor.2015.07.019
  • Herrera, F., & Herrera-Viedma, E. (2000). Linguistic decision analysis: Steps for solving decision problems under linguistic information. Fuzzy Sets & Systems, 115(1), 67–82.
  • Liang, W., Dai, B., Zhao, G., & Wu, H. (2019). Performance evaluation of green mine using a combined multi-criteria decision making method with picture fuzzy information. IEEE Access, PP(99), 1–1.
  • Liao, H. C., Yang, L. Y., & Xu, Z. S. (2018). Two new approaches based on ELECTRE II to solve the multiple criteria decision making problems with hesitant fuzzy linguistic term sets. Applied Soft Computing, 63, 223–234. https://doi.org/10.1016/j.asoc.2017.11.049
  • Liao, H., Jiang, L., Lev, B., & Fujita, H. (2019). Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method. Applied Soft Computing, 80, 450–464. https://doi.org/10.1016/j.asoc.2019.04.018
  • Lin, M., Chen, Z., Xu, Z., Gou, X., & Herrera, F. (2021). Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR. Information Sciences, 551, 270–290. https://doi.org/10.1016/j.ins.2020.10.061
  • Liu, Z., Zhao, X., Li, L., Wang, X., Wang, D., & Liu, P. (2020). Selecting a public service outsourcer based on the improved ELECTRE II method with unknown weight information under a double hierarchy hesitant linguistic environment. Sustainability, 12(6), 2315. https://doi.org/10.3390/su12062315
  • Macmillan, I. C., Siegel, R., & Narasimha, P. N. S. (1985). Criteria used by venture capitalists to evaluate new venture proposals. Journal of Business Venturing, 1(1), 119–128. https://doi.org/10.1016/0883-9026(85)90011-4
  • Mao, X. B., Wu, M., Dong, J. Y., Wan, S. P., & Jin, Z. (2019). A new method for probabilistic linguistic multi-attribute group decision making: Application to the selection of financial technologies. Applied Soft Computing, 77, 155–175. https://doi.org/10.1016/j.asoc.2019.01.009
  • Mardani, A., Jusoh, A., Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications: A review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516–571. https://doi.org/10.1080/1331677X.2015.1075139
  • Mason, C., & Stark, M. (2004). What do investors look for in a business plan? A comparison of investment criteria of bankers, venture capitalists and business angels. International Small Business Journal: Researching Entrepreneurship, 22(3), 227–248. https://doi.org/10.1177/0266242604042377
  • Niu, D., Zhen, H., Yu, M., Wang, K., Sun, L., & Xu, X. (2020). Prioritization of renewable energy alternatives for China by using a hybrid FMCDM methodology with uncertain information. Sustainability, 12(11), 4649. https://doi.org/10.3390/su12114649
  • Pang, Q., Wang, H., & Xu, Z. S. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/10.1016/j.ins.2016.06.021
  • Rodríguez, R. M., Martı́nez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on fuzzy systems, 20(1), 109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
  • Roy, B. (1968). Classement et choix en présence de points de vue multiples. Revue Française D'informatique et de Recherche Opérationnelle, 2(8), 57–75. https://doi.org/10.1051/ro/196802V100571
  • Roy, B., & Bertier, P. (1973). La methode ELECTRE II: une methode au media-planning. Operational Research, 1973(72), 291–302.
  • Shumaiza, Akram M., & Al-Kenani, A. N. (2019). Multiple-attribute decision making ELECTRE II method under bipolar fuzzy model. Algorithms, 12(11), 226.
  • Smitham, P. (1990). Down the venture capital route. Accountancy, 106(10), 74–77.
  • Tyzoon, T. T., & Bruno, A. V. (2011). A model of venture capitalist investment activity. Management Science, 30(9), 1051–1066.
  • Wells, W. A. (1974). Venture capital decision-making. University Microfilms.
  • Xu, J., & Shen, F. (2014). A new outranking choice method for group decision making under Atanassov’s interval-valued intuitionistic fuzzy environment. Knowledge-Based Systems, 70, 177–188. https://doi.org/10.1016/j.knosys.2014.06.023
  • Yue, C. Y. (2003). Decision theory and method. Science Press.
  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning - II. Information Sciences, 8(4), 301–357. https://doi.org/10.1016/0020-0255(75)90046-8
  • Zider, B. (1998). How venture capital works. Harvard Business Review, 76(6), 131–139.