[1] D. R. Hunter, “Measuring General Aviation Pilot Jugment Using a Situational Judgment Technique,” Int. J. Aviat. Psychol., no. October 2014, pp. 37–41, 2003.
[2] W. L. Martin, P. S. Murray, and P. R. Bates, “The Effects of Startle on Pilots During Critical Events : A Case Study Analysis,” 30th EAAP Conf. Aviat. Psychol. Appl. Hum. Factors - Work. Towar. zero Accid., pp. 387–394, 2012.
[3] S. Ud-Din and Y. Yoon, “Analysis of Loss of Control Parameters for Aircraft Maneuvering in General Aviation,” J. Adv. Transp., vol. 2018, pp. 1–19, 2018.
[4] P. A. Oppenheimer, L. Col, U. Ret, A. Instructor, A. Performance, and S. Aps, “Pilot Response in Time Critical Aircraft Upset / Loss of Control Inflight ( LOC-I ) Events,” pp. 1–15.
[5] S. R. Jacobson, Aircraft Loss of Control Causal Factors and Mitigation Challenges. 2010.
[6] C. M. Belcastro et al., “Aircraft Loss-of-Control Accident Analysis,” pp. 1–41, 2019.
[7] A. S. Michales, “Contributing Factors Among Fatal Loss of Control Accidents in Multiengine Turbine Aircraft,” Aviat. Technol. Grad. Student Publ., 2012.
[8] International Air Transport Association, Loss of Control In-Flight Accident Analysis Report 2010-2014. 2015.
[9] W. L. Martin, P. S. Murray, and P. R. Bates, “The Effects of Startle on Pilots During Critical Events : A Case Study Analysis,” Griffith Univ. Aerosp. Strateg. Study Cent., pp. 387–394, 2012.
[10] A. B. Talone and F. Jentsch, “Evaluating Startle , Surprise , and Distraction : an Analysis of Aircraft Incident and Accident Reports,” pp. 278–283, 2015.
[11] A. Landman, E. L. Groen, M. M. (René) van Paassen, A. W. Bronkhorst, and M. Mulder, “Dealing With Unexpected Events on the Flight Deck: A Conceptual Model of Startle and Surprise,” Hum. Factors J. Hum. Factors Ergon. Soc., p. 001872081772342, 2017.
[12] GAJSC, “General Aviation Joint Steering Committee ( GAJSC ) Loss of Control Work Group Approach and Landing,” 2012.
[13] S. R. Jacobson, “Aircraft Loss of Control Causal Factors and Mitigation Challenges,” AIAA Guid. Navig. Control Conf., pp. 1–59, 2010.
[14] NTSB, “Prevent Loss of Control in Flight in General Aviation,” 2015.
[15] A. R. Harrivel et al., “Prediction of Cognitive States during Flight Simulation using Multimodal Psychophysiological Sensing,” AIAA Inf. Syst. Infotech @ Aerosp., pp. 1–10, 2017.
[16] J. Rivera, A. B. Talone, C. T. Boesser, F. Jentsch, and M. Yeh, “Startle and surprise on the flight deck: Similarities, differences, and prevalence,” Proc. Hum. Factors Ergon. Soc., vol. 2014-Janua, pp. 1047–1051, 2014.
[17] T. Nguyen, C. P. Lim, N. Duy Nguyen, L. Gordon-Brown, and S. Nahavandi, “A Review of Situation Awareness Assessment Approaches in Aviation Environments,” eprint arXiv:1803.08067, pp. 1–16, 2018.
[18] C. D. Wickens, “Situation awareness: Its applications value and its fuzzy dichotomies,” J. Cogn. Eng. Decis. Mak., vol. 9, no. 1, pp. 90–94, 2015.
[19] M. R. Endsley, “Situation awareness misconceptions and misunderstandings,” J. Cogn. Eng. Decis. Mak., vol. 9, no. 1, pp. 4–32, 2015.
[20] C. D. Wickens, J. S. Mccarley, and L. C. Thomas, “Attention-situation awareness (A-SA) model,” Proc. 2003 Conf. Hum. Perform. Model. Approach Land. with Augment. Displays, pp. 189–225, 2003.
[21] C. D. Wickens, “Situation awareness: review of Mica Endsley’s 1995 articles on situation awareness theory and measurement.,” Hum. Factors, vol. 50, no. 3, pp. 397–403, 2008.
[22] S. a Shappell and D. a Wiegmann, “The Human Factors Analysis and Classification System – HFACS,” Security, p. 19, 2000.
[23] G. Zacharias, A. Miao, C. Illgen, J. Yara, and G. Siouris, “SAMPLE: Situation awareness model for pilot in-the-loop evaluation,” Final Rep. R, 1996.
[24] et al Wickens, Christopher D, “SEEV Model of Visual Attention Allocation.” 2003.
[25] C. R. Balog, “Human Cognitive Performance,” in International Civil Aviation Organization ICAO Dealing with Unexpected Events ( DUE ) Working Group, 2014.
[26] V. Peysakhovich, O. Lefrançois, F. Dehais, and M. Causse, “The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety,” Safety, vol. 4, no. 1, p. 8, 2018.
[27] S. W. Tyler, C. Neukom, M. Logan, and J. Shively, “The MIDAS Human Performance Model,” Proc. Hum. Factors Ergon. Soc. 42nd Annu. Meet., vol. 1, pp. 320–324, 1998.
[28] R. L. Boring, “Modeling Human Reliability Analysis Using MIDAS International Workshop on Future Control Station Designs and Human,” 2006.
[29] B. F. Gore, B. L. Hooey, C. D. Wickens, and S. Scott-Nash, “A computational implementation of a human attention guiding mechanism in MIDAS v5,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 5620 LNCS, pp. 237–246, 2009.
[30] B. Gore, B. Hooey, and D. Foyle, “NASA’s Use of Human Performance Models for NextGen Concept Development and Evaluations,” Humansystems.Arc.Nasa.Gov, 2011.
[31] Å. Svensson, “Air traffic controllers’ work-pattern during air traffic control tower simulations : A eye-tracking study of air traffic controllers’ eye-movements during arrivals,” p. 63, 2015.
[32] B. Graham, “Data , Baseline and Predictability supporting the Runway Safety Team,” no. June. 2014.
[33] I. Napoles, Gonzalo; Espinoza, Leon, M; Grau, “FCM Expert 1.0.0.” pp. 1–18, 2017.
[34] S. J. Houston, R. O. Walton, B. A. Conway, S. J. Houston, R. O. Walton, and R. 0 Walton, “Analysis of General Aviation Instructional Loss of Control Accidents,” J. Aviat. Educ. Res., vol. 22, no. 1, 2012.
[35] EASA, “Loss of Control in General Aviation,” 2016.
[36] E. Ancel and A. T. Shih, “The Analysis of the Contribution of Human Factors to the In-flight Loss of Control Accidents,” 12th AIAA Aviat. Technol. Oper. Conf., no. September, pp. 1–13, 2012.
[37] M. Lower, J. Magott, and J. Skorupski, “A System-Theoretic Accident Model and Process with Human Factors Analysis and Classification System taxonomy,” Saf. Sci., vol. 110, no. April, pp. 393–410, 2018.
[38] N. J. Milburn, L. Dobbins, J. Pounds, and S. Goldman, “Mining for Information in Accident Data,” Tech. Reports, no. November, p. 11, 2006.
[39] D. A. Wiegmann and S. A. Shappell, “Applying the Human Factors Analysis and Classification System (HFACS) to the analysis of commercial aviation accident data,” 11th Int. Symp. Aviat. Psychol., no. July 2014, 2001.
[40] D. Wiegmann, S. Shappell, A. Boquet, C. Detwiler, K. Holcomb, and T. Faaborg, “Human error and general aviation accidents: A comprehensive, fine-grained analysis using HFACS. Federal Aviation Administration, Office of Aerospace Medicine Technical Report No DOT/FAA/AM-05/24,” no. August 2014, 2005.
[41] E. I. Papageorgiou, “Fuzzy Cognitive Maps for Applied Sciences and Engineering,” 2014.
[42] J. Rivera, A. B. Talone, C. T. Boesser, F. Jentsch, and M. Yeh, “Startle and surprise on the flight deck: Similarities, differences, and prevalence,” Proc. Hum. Factors Ergon. Soc., vol. 2014-Janua, pp. 1047–1051, 2014.
[43] S. A. Gray, S. Gray, L. J. Cox, and S. Henly-Shepard, “Mental Modeler: A fuzzy-logic cognitive mapping modeling tool for adaptive environmental management,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., no. October 2014, pp. 965–973, 2013.
[44] V. Mago, “Fuzzy Logic and Fuzzy Cognitive Map.” British Columbia, 2011.
[45] E. I. Papageorgiou, “Fuzzy Cognitive Maps for Decision Support.” 2011.
[46] E. I. Papageorgiou, “Learning algorithms for fuzzy cognitive maps - A review study,” IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., vol. 42, no. 2, pp. 150–163, 2012.
[47] B. Gollan and B. Gollan, “SEEV-Effort - Is it Enough to Model Human Attentional Behavior in Public Display Settings,” Futur. Comput., no. May, pp. 8–14, 2016.
[48] A. Haslbeck and K. Bengler, “Pilots’ gaze strategies and manual control performance using occlusion as a measurement technique during a simulated manual flight task,” Cogn. Technol. Work, vol. 18, no. 3, 2016.
[49] C. D. Wickens, “Noticing events in the visual workplace: The SEEV and NSEEV models,” Cambridge Handb. Appl. Percept. Res., no. January 2015, pp. 749–768, 2015.
[50] C. D. Stylios and P. P. Groumpos, “Mathematical formulation of fuzzy cognitive maps,” Proc. 7th Mediterr. Conf. Control Autom., no. June 1999, pp. 2251–2261, 1999.
[51] C. D. Stylios, V. Georgopoulos, and P. P. Groumpos, “Fuzzy Cognitive Map Approach to Process Control Systems,” J. Adv. Comp. Intell., vol. 3, no. 5, pp. 409–417, 1999.
[52] S. Ahmadi, C.-H. Yeh, R. Martin, and E. Papageorgiou, “An FCM-fuzzy AHP approach to estimating organizational readiness for implementing an ERP system,” 20th Am. Conf. Inf. Syst. AMCIS 2014, pp. 1–11, 2014.
[53] M. Gavalec and K. Mls, “Evaluation of Subjective Preferences By Fuzzy Cognitive Maps of Semi-Autonomous Decision Making Systems,” Proc. Int. Symp. Anal. Hierarchy Process Multicriteria Decis. Mak., pp. 1–6, 2011.
[54] B. N. de Maya, R. E. Kurt, and O. Turan, “Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents,” Proc. 7th Transp. Res. Arena TRA 2018, April 16-19, 2018, Vienna, Austria, vol. 44, no. 0, 2018.
[55] W. Stach, L. Kurgan, W. Pedrycz, and M. Z. Reformat, “Evolutionary Development of Fuzzy Cognitive Maps,” 14th IEEE Int. Conf. Fuzzy Syst. 2005. FUZZ ’05., no. July 2014, pp. 619–624, 2005.
[56] G. Felix, G. Nápoles, R. Falcon, W. Froelich, K. Vanhoof, and R. Bello, “A review on methods and software for fuzzy cognitive maps,” Artif. Intell. Rev., no. August, pp. 1–31, 2017.
[57] E. I. Papageorgiou, “Learning Algorithms for Fuzzy Cognitive Maps — A Review Study,” IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., vol. 42, no. March 2012, 2014.
[58] G. Nápoles, L. Concepción, R. Falcon, R. Bello, and K. Vanhoof, “On the accuracy-convergence tradeoff in sigmoid fuzzy cognitive maps,” IEEE Trans. Fuzzy Syst., vol. 26, no. 4, pp. 2479–2484, 2018.
[59] C. D. Stylios and P. P. Groumpos, “Mathematical Formulation of Fuzzy Cognitive Maps,” in Proceedings of the 7th Mediterranean Conference on Control and Automation (MED99) Haifa, Israel - June 28-30, 1999, 1999, pp. 2251–2261.
[60] E. I. Papageorgiou and J. L. Salmeron, “A Review of Fuzzy Cognitive Maps Research During the Last Decade,” IEEE Trans. Fuzzy Syst., vol. 21, no. 1, pp. 66–79, 2013.
[61] E. Demjén, V. Aboši, and Z. Tomori, “Eye tracking using artificial neural networks for human computer interaction.,” Physiol. Res., vol. 60, no. 5, pp. 841–4, 2011.
[62] A. B. Yusuf, A.-L. Kor, and H. Tawfik, “Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry.”
[63] S. Nalchigar, S. M. R. Nasserzadeh, and B. Akhgar, “Simulating strategic information systems planning process using fuzzy cognitive map,” Int. J. Bus. Inf. Syst., vol. 8, no. 3, p. 286, 2011.
[64] B. Gollan and A. Ferscha, “SEEV-Effort - Is it Enough to Model Human Attentional Behavior in Public Display Settings,” Futur. Comput., no. May, pp. 8–14, 2016.
[65] B. Hooey, B. Gore, and C. Wickens, “Modeling Pilot Situation Awareness,” Hum. Model. Assist. Transp., pp. 207–213, 2011.
[66] M. J. Druzdzel and R. R. Flynn, “Decision Support Systems,” Encycl. Libr. Inf. Sci., pp. 1–15, 2002.