Theory and Practice on Non-Probabilistic Data and Analysis: a bibliometric review

[1] Aven, T. (2013). On how to define, understand and describe risk. Reliability Engineering & System Safety, 144, 1-10. Search in Google Scholar

[2] Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13. Search in Google Scholar

[3] Baltar, F., & Brunet, I. (2012). Social research 2.0: virtual snowball sampling method using Facebook. Internet Research. Search in Google Scholar

[4] Battaglia, A. G. (2008). Non-probabilistic treatment of uncertainty in engineering design: Literature review and application to composites. Composites Part B: Engineering, 39(5), 750-756. Search in Google Scholar

[5] Beer, M., Ferson, S., & Kreinovich, V. (2013). Imprecise probabilities in engineering analyses. Mechanical Systems and Signal Processing. Search in Google Scholar

[6] Ben-Haim, Y. (1994). A nonprobabilistic concept of reliability. Structural Safety. Search in Google Scholar

[7] Borgatti, S. P. (2005). Centrality and network flow. Social networks, 27(1), 55-71. Search in Google Scholar

[8] Certo, S. T., Busenbark, J. R., & Woo, H.-S. (2016). Sample selection bias and Heckman models in strategic management research. Strategic Management Journal. Search in Google Scholar

[9] Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. Search in Google Scholar

[10] Deutsch, D. (1999). Quantum theory of probability and decisions. Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences, 455(1988), 3129-3137. Search in Google Scholar

[11] Dubois, D., & Prade, H. (1988). Possibility theory: An approach to computerized processing of uncertainty. Plenum Press. Search in Google Scholar

[12] Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105(3), 1809-1831. Search in Google Scholar

[13] Fang, F., Zhang, H., Cheng, J., Roy, S., & Leung, V. C. M. (2017). Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI. IEEE Journal on Selected Areas in Communications, 35(12), 2874-2885. Search in Google Scholar

[14] Fullerton, R. R., & Wempe, W. F. (2009). Lean manufacturing, non-financial performance measures, and financial performance. International Journal of Operations & Production Management. Search in Google Scholar

[15] Jiang, C., Han, X., Lu, G. Y., Liu, J., Zhang, Z., & Bai, Y. C. (2011). Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique. Computer Methods in Applied Mechanics and Engineering. Search in Google Scholar

[16] Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications. Prentice Hall. Search in Google Scholar

[17] Kosko, B. (1992). Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. Prentice Hall. Search in Google Scholar

[18] Liu, B., & Liu, Y. K. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445-450. Search in Google Scholar

[19] Liu, H. C., & Pedrycz, W. (2018). Evaluation of feature selection approaches in software defect prediction. Information Sciences, 451-452, 135-147. Search in Google Scholar

[20] Liu, H. C., You, J. X., You, X. Y., & Shan, M. M. (2015). A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Computing, 28, 579-588. Search in Google Scholar

[21] Loos, R., Locoro, G., Comero, S., Contini, S., Schwesig, D., Werres, F., Balsaa, P., Gans, O., Weiss, S., Blaha, L., Bolchi, M., & Gawlik, B. M. (2010). Pan-European survey on the occurrence of selected polar organic persistent pollutants in ground water. Water Research. Search in Google Scholar

[22] Luo, Y., Kang, Z., Luo, Z., & Li, A. (2009). Continuum topology optimization with non-probabilistic reliability constraints based on multi-ellipsoid convex model. Structural and Multidisciplinary Optimization, 39(3), 273-290. Search in Google Scholar

[23] Moeller, B., & Beer, M. (2008). Engineering computation under uncertainty-capabilities of non-traditional models. Computers & Structures, 86(10), 1044-1061. Search in Google Scholar

[24] Moens, D., & Hanss, M. (2011). Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances. Finite Elements in Analysis and Design, 47(1), 4-16. Search in Google Scholar

[25] Moens, D., & Vandepitte, D. (2005). A survey of non-probabilistic uncertainty treatment in finite element analysis. Computer Methods in Applied Mechanics and Engineering. Search in Google Scholar

[26] Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213-228. Search in Google Scholar

[27] Newman, M. E. (2001). The structure of scientific collaboration networks. Proceedings of the national academy of sciences, 98(2), 404-409. Search in Google Scholar

[28] Qiu, Z. P., & Elishakoff, I. (1998). Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis. Computer Methods in Applied Mechanics and Engineering. Search in Google Scholar

[29] Qiu, Z. P., & Wang, X. J. (2003). Comparison of dynamic response of structures with uncertain-but-bounded parameters using non-probabilistic interval analysis method and probabilistic approach. International Journal. Search in Google Scholar

[30] Reiners, C., Wegscheider, K., Schicha, H., Theissen, P., Vaupel, R., Wrbitzky, R., & Schumm-Draeger, P. M. (2004). Prevalence of thyroid disorders in the working population of Germany: Ultrasonography screening in 96,278 unselected employees. Thyroid. Search in Google Scholar

[31] Sartori, J.T.D. (2023). True Confidence Level of Real-World Data: implications of non-probabilistic data on decision-making and research. Italy, 48p. Search in Google Scholar

[32] Shafer, G. (1976). A mathematical theory of evidence (Vol. 1). Princeton university press. Search in Google Scholar

[33] Silver Ian, A. & Kelsay James, D. (2023) The moderating effects of population characteristics: a potential biasing factor when employing non-random samples to conduct experimental research. Journal of Experimental Criminology, 19(1), 107-118. Search in Google Scholar

[34] Simoen, E., De Roeck, G., & Lombaert, G. (2015). Dealing with uncertainty in model updating for damage assessment: A review. Mechanical Systems and Signal Processing. Search in Google Scholar

[35] Szmidt, E., & Kacprzyk, J. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems. Search in Google Scholar

[36] Tian, W., Heo, Y., de Wilde, P., Li, Z., Yan, D., Park, C. S., Feng, X., & Augenbroe, G. (2018). A review of uncertainty analysis in building energy assessment. Renewable & Sustainable Energy Reviews. Search in Google Scholar

[37] Trochim, W. M. (2006). The research methods knowledge base (Vol. 2). Atomic Dog. Search in Google Scholar

[38] Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. Search in Google Scholar

[39] Vasconcelos Sampaio, P. G., & Aguirre Gonzalez, M. O. (2017). Photovoltaic solar energy: Conceptual framework. Renewable & Sustainable Energy Reviews. Search in Google Scholar

[40] Wang, Y. M., & Guan, Z. L. (2018). Environmental performance evaluation using a non-radial DEA model: In case of lake water quality in China. Journal of Cleaner Production, 176, 63-74. Search in Google Scholar

[41] Yi-Chuan, F., Yong-Juan, W., Jin-Long, S. & Tong-Guang, G. (2023) Reliability analysis of mechanisms with mixed uncertainties using polynomial chaos expansion. Quality and Reliability Engineering International, 39(4), 1248-1268. Search in Google Scholar

[42] Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and Systems, 1(1), 3-28. Search in Google Scholar

[43] Zadeh, L. A. (1988). Fuzzy logic. Computer, 21(4), 83-93. Search in Google Scholar

[44] Zadeh, L. A. (1996). Fuzzy sets. In Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers by Lotfi A Zadeh (pp. 394-432). World Scientific. Search in Google Scholar

[45] Zeng, M., Changquan, L. & Peng, H. (2023) Unified reliability-based design optimization with probabilistic - uncertain-but-bounded and fuzzy variables. Computer Methods in Applied Mechanics and Engineering, 407. Search in Google Scholar

[46] Zhang, D., & Jiang, B. (2019). Bibliometric and visualized analysis of emergy research. Ecological Modelling, 392, 78-88. Search in Google Scholar

[47] Zhaoping, T., Jun, P., Jianping, S. & Xin, M. (2022) Non-Probabilistic Reliability Analysis of Robot Accuracy under Uncertain Joint Clearance. Machines, 10(10). Search in Google Scholar

[48] Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. Search in Google Scholar