References
- E. Afful-Dadzie, and A. Afful-Dadzie, A decision making model for selecting start-up businesses in a government venture capital scheme. Manag. Decis. 54(3) (2016), pp. 714–734.
- E. Afful-Dadzie, Z. Kominkova, and S. Nabareseh, Selecting start-up businesses in a public venture capital financing using fuzzy PROMETHEE. Proc. Comput. Sci. 60(1) (2015), pp. 63–72.
- E. Afful-Dadzie, Z. Kominkova, and S. Nabareseh, Selecting start-up businesses in a public venture capital financing using fuzzy PROMETHEE. Proc. World Congr. Eng. Comput. Sci. 60(1) (2015), pp. 63–72.
- B. Aouni, C. Colapinto, and D. La Torre, A cardinality constrained stochastic goal programming model with satisfaction functions for venture capital investment decision making. Ann. Oper. Res. 205(1) (2013), pp. 77–88.
- B. Aouni, C. Colapinto, and D. La Torre, A fuzzy goal programming model for venture capital investment decision making. INFOR Inf. Syst. Oper. Res. 52(3) (2014), pp. 138–146.
- M. Barbati, G. Bruno, and A. Genovese, Applications of agent-based models for optimization problems: a literature review. Expert Syst. Appl. 39(5) (2012), pp. 6020–6028.
- G. Beim, and M. Lévesque, Country selection for new business venturing: a multiple criteria decision analysis. Long Range Plann. 39(3) (2006), pp. 265–293.
- O. Bengtsson, and B.A. Sensoy, Investor abilities and financial contracting: Evidence from venture capital. J. Financ. Intermed. 20(4) (2011), pp. 477–502.
- J. Block, and P. Sandner, What is the effect of the financial crisis on venture capital financing? Empirical evidence from US Internet start-ups. Ventur. Cap. 11(4) (2009), pp. 295–309.
- X. Cheng, J. Gu, and Z. Xu, Venture capital group decision-making with interaction under probabilistic linguistic environment. Knowledge Based Syst. 140(2) (2018), pp. 82–91.
- M. Clerc, and J. Kennedy, The particle swarm — Explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1) (2002), pp. 58–73.
- C. Colapinto, D. La Torre, Multiple criteria decision making and goal programming for optimal venture capital investments and portfolio management. Springer Int. Publ. Switz. (2015), pp. 9–30.
- W. Drover, M.S. Wood, and Y. Fassin, Take the money or run? Investors’ ethical reputation and entrepreneurs’ willingness to partner. J. Bus. Ventur. 29(6) (2014), pp. 723–740.
- R. Fairchild, An entrepreneur’s choice of venture capitalist or angel-financing: A behavioral game-theoretic approach. J. Bus. Ventur. 26(3) (2011), pp. 359–374.
- R. Gannon, K.M. Hogan, G.T. Olson, A multicriteria decision model for venture capital firms’ evaluation of new technology business firms. Appl. of Man. Sci. 17(2015), pp. 27–50.
- Z.W. Geem, Music-inspired harmony search algorithm: Theory and applications (2009).
- B.A. Gilbert, P.P. McDougall, and D.B. Audretsch, New venture growth: A review and extension. J. Manage. 32(6) (2006), pp. 926–950.
- E. Hajinezhad, S. Effati, and R. Ghanbari, Mixed Tabu machine for portfolio optimization problem. Int. J. Comput. Math. 94(6) (2017), pp. 1089–1107.
- J. Hall, and C.W. Hofer, Venture capitalist’ desicion ceriteria in new venture evaluation. J. Bus. Ventur. 8 (1993), pp. 25–42.
- S.A. Hasheminejad, M. Bagherpour, S. Nouri, and M.S. Pishvaee, Developing a hybrid intelligent system for optimizing syndicated venture capital portfolios. J. Intell. Fuzzy Syst. 37(5) (2019), pp. 6483–6497.
- F.-S. Hsieh, A hybrid and scalable multi-agent approach for patient scheduling based on Petri net models. Appl. Intell. 47(4) (2017), pp. 1068–1086.
- C. Jain, Artificial Intelligence in Venture Capital Industry: Opportunities and Risks, Massachusetts Institute of Technology, Cambridge, Massachusetts, 2018.
- J.R. Jang, ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans. Syst. 23(3) (1993), pp. 665–685.
- M. Kakati, Success criteria in high-tech new ventures. Technovation 23(5) (2003), pp. 447–457.
- D. Karaboga, E. Kaya, Adaptive network based fuzzy inference system (ANFIS) training approaches: A comprehensive survey. Artif. Intell. Rev. 52 (2019), 2263–2293.
- S. Khan, M. Kamran, O.U. Rehman, L. Liu, and S. Yang, A modified PSO algorithm with dynamic parameters for solving complex engineering design problem. Int. J. Comput. Math. 95(11) (2018), pp. 2308–2329.
- M. Khanzadi, A.A. Movahedian, and M. Bagherpour, Finding optimum resource allocation to optimizing construction project time/cost through combination of artificial agents CPM and GA. Period. Polytech. Civ. Eng. 60(2) (2016), pp. 169–180.
- S. Kim, S. Kim, and J.R. Kiniry, Two-phase simulation-based location-allocation optimization of biomass storage distribution. Simul. Model. Pract. Theory 86 (2018), pp. 155–168.
- T. Kollmann, and A. Kuckertz, Evaluation uncertainty of venture capitalists’ investment criteria. J. Bus. Res. 63(7) (2010), pp. 741–747.
- H. Landström, The relationship between private investors and small firms: An agency theory approach. Entrep. Reg. Dev. 4 (1992), pp. 199–223.
- K.S. Lee, and Z.W. Geem, A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice. Comput. Methods Appl. Mech. Eng. 194(36–38) (2005), pp. 3902–3933.
- M. Li, C. Wu, A distance model of intuitionistic fuzzy cross entropy to solve preference problem on alternatives. Math. Probl. Eng. 2016 (2016), pp. 1–9.
- C.M. MacAl, and M.J. North, Tutorial on agent-based modelling and simulation. J. Simul. 4(3) (2010), pp. 151–162.
- H. Markowitz, Portfolio selection. J. Finance 7(1) (1952), pp. 77–91.
- C. Mason, and M. Stark, What do investors look for in a business plan?. Int. Small Bus. J. 22(3) (2004), pp. 227–248.
- A.L. Maxwell, S.A. Jeffrey, and M. Lévesque, Business angel early stage decision making. J. Bus. Ventur. 26(2) (2011), pp. 212–225.
- H.E. Nouri, O.B. Driss, and K. Ghédira, Hybrid metaheuristics for scheduling of machines and transport robots in job shop environment. Appl. Intell. 45(3) (2016), pp. 808–828.
- M. Prado, M. Limbert, A Venture Capitalist’s Screening and Selection Process, Universidade NOVA de Lisboa, Lisbon, Portugal. 2019.
- B. Rachid, P.T. Mohamed, and M.A. Khouaja, An agent based modeling approach in the strategic human resource management, including endogenous and exogenous factors. Simul. Model. Pract. Theory 88 (2018), pp. 32–47.
- R. Rostamzadeh, K. Ismail, and E.K. Zavadskas, Multi criteria decision making for assisting business angels in investments. Technol. Econ. Dev. Econ. 20(4) (2014), pp. 696–720.
- S.J. Sadjadi, M. Gharakhani, and E. Safari, Robust optimization framework for cardinality constrained portfolio problem. Appl. Soft Comput. J. 12(1) (2012), pp. 91–99.
- S.M. Sammut, What every biotechnology entrepreneur needs to know about VC due diligence. J. Commer. Biotechnol. 18(2) (2012), pp. 72–77.
- D.A. Shepherd, R. Ettenson, and A. Crouch, New venture strategy and profitability: A venture capitalist’s assessment. J. Bus. Ventur. 15(5–6) (2000), pp. 449–467.
- D. Stimel, and D. Ph, The short-run effects of the macro-economy on venture capital: US evidence figure 1a real venture capital investments 1995 to 2011 overall expansion stage early stage late stage startup. Econ. Financ. Rev. 2(3) (2012), pp. 38–45.
- R. Sudek, Angel investment criteria. J. Small Bus. Strateg. 17(2) (2007), pp. 89–103.
- T. Takagi, and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control. J. Hydroinform. 1 (1985), pp. 116–132.
- D. Valliere, and R. Peterson, When entrepreneurs choose VCs: Experience, choice criteria and introspection accuracy. Ventur. Cap. 9(4) (2007), pp. 285–309.
- S.E. Wiratno, E. Latiffianti, and K.K. Wirawan, Selection of business funding proposals using analytic network process: A case study at a venture capital company. Proc. Manuf. 4 (2015), pp. 237–243.
- M.S. Wood, and G.T. Payne, E T & P the effects of perceived decisions: A configurational perspective. Entrep. Theory Pract. 805 (2014), pp. 833–861.
- M. Wright, and A. Lockett, The structure and management of alliances: Syndication in the venture capital industry. J. Manag. Stud. 40(8) (2003), pp. 2073–2102.
- Z. Yuanjun, and T. Zengrui, Research on evaluation of venture capital fund project based on data envelopment analysis model. J. Comput. Theor. Nanosci. 13(2) (2016), pp. 1266–1274.
- M. Zanganeh, Simultaneous optimization of clustering and fuzzy IF-THEN rules parameters by the genetic algorithm in fuzzy inference system-based wave predictor models. J. Hydroinform. 19(3) (2017), pp. 385–404.
- X. Zhang, Venture capital investment selection decision-making base on fuzzy theory. Phys. Proc. 25 (2012), pp. 1369–1375.
- X. Zhang, Venture capital investment base on grey relational theory. Phys. Proc. 33 (2012), pp. 1825–1832.
- H. Zhong, Venture Capital Investment: From Rule of Thumb to Data Science, Rutgers, New Jersey: The State University of New Jersey, 2019.
- X. Zhou, L. Wang, H. Liao, S. Wang, B. Lev, H. Fujita, A prospect theory-based group decision approach considering consensus for portfolio selection with hesitant fuzzy information. Knowledge Based Syst. 168 (2019), pp. 28–38.
- C. Zopounidis, and M. Doumpos, Multicriteria decision systems for financial problems. Top 21(2) (2013), pp. 241–261.