| Fuzzy portfolio optimization under downside risk measures E Vercher, JD Bermúdez, JV Segura Fuzzy sets and systems 158 (7), 769-782, 2007 | 286 | 2007 |
| Optimizing the level of service quality of a bike-sharing system R Alvarez-Valdes, JM Belenguer, E Benavent, JD Bermudez, F Muñoz, ... Omega 62, 163-175, 2016 | 237 | 2016 |
| Viability of infeasible portfolio selection problems: A fuzzy approach T León, V Liern, E Vercher European Journal of Operational Research 139 (1), 178-189, 2002 | 200 | 2002 |
| Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection R Saborido, AB Ruiz, JD Bermúdez, E Vercher, M Luque Applied soft computing 39, 48-63, 2016 | 144 | 2016 |
| A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection JD Bermúdez, JV Segura, E Vercher Fuzzy Sets and Systems 188 (1), 16-26, 2012 | 123 | 2012 |
| Portfolio optimization using a credibility mean-absolute semi-deviation model E Vercher, JD Bermúdez Expert Systems with Applications 42 (20), 7121-7131, 2015 | 97 | 2015 |
| Holt–Winters forecasting: an alternative formulation applied to UK air passenger data JD Bermúdez, JV Segura, E Vercher Journal of Applied Statistics 34 (9), 1075-1090, 2007 | 87 | 2007 |
| A spreadsheet modeling approach to the Holt–Winters optimal forecasting JV Segura, E Vercher European Journal of Operational Research 131 (2), 375-388, 2001 | 86 | 2001 |
| Improving stock index forecasts by using a new weighted fuzzy-trend time series method A Rubio, JD Bermúdez, E Vercher Expert Systems with Applications 76, 12-20, 2017 | 84 | 2017 |
| Forecasting correlated time series with exponential smoothing models A Corberán-Vallet, JD Bermúdez, E Vercher International Journal of Forecasting 27 (2), 252-265, 2011 | 84 | 2011 |
| A decision support system methodology for forecasting of time series based on soft computing JD Bermúdez, JV Segura, E Vercher Computational statistics & data analysis 51 (1), 177-191, 2006 | 75 | 2006 |
| Optimality conditions for nondifferentiable convex semi-infinite programming MA López, E Vercher Mathematical Programming 27, 307-319, 1983 | 72 | 1983 |
| A possibilistic mean-downside risk-skewness model for efficient portfolio selection E Vercher, JD Bermudez IEEE Transactions on Fuzzy Systems 21 (3), 585-595, 2012 | 69 | 2012 |
| Improving demand forecasting accuracy using nonlinear programming software JD Bermúdez, JV Segura, E Vercher Journal of the Operational Research Society 57 (1), 94-100, 2006 | 66 | 2006 |
| Bayesian forecasting with the Holt–Winters model JD Bermúdez, JV Segura, E Vercher Journal of the Operational Research Society 61 (1), 164-171, 2010 | 48 | 2010 |
| Solving a class of fuzzy linear programs by using semi-infinite programming techniques T León, E Vercher Fuzzy Sets and Systems 146 (2), 235-252, 2004 | 47 | 2004 |
| Portfolios with fuzzy returns: selection strategies based on semi-infinite programming E Vercher Journal of computational and applied mathematics 217 (2), 381-393, 2008 | 43 | 2008 |
| Multivariate exponential smoothing: A Bayesian forecast approach based on simulation JD Bermúdez, A Corberán-Vallet, E Vercher Mathematics and Computers in Simulation 79 (5), 1761-1769, 2009 | 42 | 2009 |
| Forecasting portfolio returns using weighted fuzzy time series methods A Rubio, JD Bermúdez, E Vercher International Journal of Approximate Reasoning 75, 1-12, 2016 | 38 | 2016 |
| A fuzzy ranking strategy for portfolio selection applied to the Spanish stock market JD Bermudez, JV Segura, E Vercher 2007 IEEE International Fuzzy Systems Conference, 1-4, 2007 | 37 | 2007 |
