Papers published in Journals (J.A. Morente-Molinera)

Number of Results: 38

Jump to Year: 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2012, 2011

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2025 (1)

• [3107] Y. Li, I.J. Pérez, F.J. Cabrerizo, J.A. Morente-Molinera. An algorithm for belief rule induction with partial ignorance. Expert Systems with Applications 261 (2025) 125517. doi: 10.1016/j.eswa.2024.125517
  

2024 (1)

• [3093] Y. Li, I.J. Pérez, F.J. Cabrerizo, H. Garg, J.A. Morente-Molinera. A belief rule-based classification system using fuzzy unordered rule induction algorithm. Information Sciences 667 (2024) 120462. doi: 10.1016/j.ins.2024.120462
  

2023 (6)

• [3007] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A large scale group decision making system based on sentiment analysis cluster. Information Fusion 91 (2023) 633-643. doi: 10.1016/j.inffus.2022.11.009
  
• [3018] Y. Du, Z.S. Chen, J. Yang, J.A. Morente-Molinera, L. Zhang, E. Herrera-Viedma. A Textual Data-Oriented Method for Doctor Selection in Online Health Communities. Sustainability 15, no. 2: 1241. doi: 10.3390/su15021241
  
• [3047] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on the experts' behaviour during the debate. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:9 (2023) 5796-5808. doi: 10.1109/TSMC.2023.3275056
  
• [3048] Y. Li, E. Herrera-Viedma, I.J. Pérez, M. Barragán-Guzmán, J.A. Morente-Molinera. Z-number-valued rule-based classification system. Applied Soft Computing, 137, 110168..
  
• [3104] Y. Li, E. Herrera-Viedma, G. Kou, J.A. Morente-Molinera. Z-number-valued rule-based decision trees. Information Sciences 643, 119252.
  
• [3105] Y. Li, E. Herrera-Viedma, I.J. Pérez, W. Xing, J.A. Morente-Molinera. The arithmetic of triangular Z-numbers with reduced calculation complexity using an extension of triangular distribution. Information Sciences 647, 119477.
  

2022 (3)

• [2979] Y. Li, F.J. Cabrerizo, E. Herrera-Viedma, J.A. Morente-Molinera. A modified uncertainty measure of z-numbers. International Journal of Computers Communications & Control 17:4 (2022) 4862. doi: 10.15837/ijccc.2022.4.4862
  
• [2891] J.A. Morente-Molinera, Y. Wang, Z. -W. Gong, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 6, June 2022) Pages: 1585 – 1598. doi: 10.1109/TFUZZ.2021.3062145
  
• [3002] Y. Du, D. Lio, J.A. Morente-Molinera, E. Herrera-Viedma. A data-driven method for user satisfaction evaluation of smart and connected products. Expert Systems with Applications, Volume 210. Accepted, 2022. doi: 10.1016/j.eswa.2022.118392
  

2021 (1)

• [2905] J.A. Morente-Molinera, G.Kou, K. Samuylov, F.J. Cabrerizo, E. Herrera-Viedma. Using argumentation in expert's debate to analyze multi-criteria group decision making method results. Information Sciences 573 (2021) 433-452. doi: 10.1016/j.ins.2021.05.086
  

2020 (7)

• [2683] J.A. Morente-Molinera, X. Wu, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures. Information Fusion, 53, 2020, 240-250.. doi: 10.1016/j.inffus.2019.06.028
  
• [2752] J.A. Morente-Molinera, F.J. Cabrerizo, J. Mezei, C. Carlsson, E. Herrera-Viedma. A dynamic group decision making process for high number of alternatives using hesitant fuzzy ontologies and sentiment analysis. Knowledge-Based Systems, Volume 195, 11 May 2020, 105657.. doi: 10.1016/j.knosys.2020.105657
  
• [2753] D. Cavaliere, J.A. Morente-Molinera, V. Loia, S. Senatore, E. Herrera-Viedma. Collective scenario understanding in a multi-vehicle system by consensus decision making. IEEE Transactions on Fuzzy Systems 28:9 (2020) 1984-1995. doi: 10.1109/TFUZZ.2019.2928787
  
• [2763] D. Cavaliere, J.A. Morente-Molinera, S. Senatore, E. Herrera-Viedma. An agent-based modeling for collective scene criticality assessment in multi-UV systems. Journal of Ambient Intelligence and Humanized Computing 11 (2020) 5153–5165. doi: 10.1007/s12652-020-01830-5
  
• [2766] J.A. Morente-Molinera, F.J. Cabrerizo, S. Alonso, M.A. Martínez, E. Herrera-Viedma. Using multi-granular fuzzy linguistic modelling methods to represent social networks related information in an organized way. International Journal of Computers Communications & Control 15:2 (2020) 3851. doi: 10.15837/ijccc.2020.2.3851
  
• [2806] F.J. Cabrerizo, M. Heikkilä, J. Mezei, J.A. Morente-Molinera, E. Herrera-Viedma, C. Carlsson. Granular fuzzy pay-off method for real option valuation. Expert Systems with Applications 159 (2020) 113597. doi: 10.1016/j.eswa.2020.113597
  
• [2849] J.A. Morente-Molinera, F.J. Cabrerizo, S. Alonso, I.J. Pérez, E. Herrera-Viedma. Assisting users in decisions using fuzzy ontologies: Application in the wine market. Mathematics 8:10 (2020) 1724. doi: 10.3390/math8101724
  

2019 (3)

• [2512] J.A. Morente-Molinera, G. Kou, C. Pang, F.J. Cabrerizo, E. Herrera-Viedma. An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods. Information Sciences 476 (2019) 222-238. doi: 10.1016/j.ins.2018.10.022
  
• [2534] J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Herrera-Viedma. Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions. Knowledge-Based Systems, 165, 335-345. doi: 10.1016/j.knosys.2018.12.006
  
• [2666] J.A. Morente-Molinera, S.Ríos-Aguilar, R. González-Crespo, E. Herrera-Viedma. Dealing with group decision making environments that have a high amount of alternatives using card-sorting techniques. Expert systems with applications 127 (2019) 187-198.
  

2018 (3)

• [2414] F.J. Cabrerizo, J.A. Morente-Molinera, W. Pedrycz, A. Taghavi, E. Herrera-Viedma. Granulating linguistic information in decision making under consensus and consistency. Expert Systems With Applications 99 (2018) 83-92. doi: 10.1016/j.eswa.2018.01.030
  
• [2436] J.A. Morente-Molinera, G. Kou, Y. Peng, C. Torres-Albero, E. Herrera-Viedma. Analysing discussions in social networks using group decision making methods and sentiment analysis. Information Sciences, 447 (2018) 157-168. doi: 10.1016/j.ins.2018.03.020
  
• [2448] J.A. Morente-Molinera, G. Kou, I.J. Pérez, K. Samuylov, A. Selamat, E. Herrera-Viedma. A group decision making support system for the Web: how to work in environments with a high number of participants and alternatives. Applied Soft Computing, 68 (2018) 191-201. doi: 10.1016/j.asoc.2018.03.047
  

2017 (3)

• [1970] F.J. Cabrerizo, J. López-Gijón, M.A. Martínez, J.A. Morente-Molinera, E. Herrera-Viedma. A fuzzy linguistic extended libqual+ model to assess service quality in academic libraries. International Journal of Information Technology & Decision Making 16:1 (2017) 225-244. doi: 10.1142/S0219622015500406
  
• [2091] J.A. Morente-Molinera, J. Mezei, C. Carlsson, E. Herrera-Viedma. Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy. IEEE Transactions on Fuzzy Systems 25:5 (2017) 1078-1089. doi: 10.1109/TFUZZ.2016.2594275
  
• [2316] J.A. Morente-Molinera, G. Kou, R. González-Crespo, J.M. Corchado, E. Herrera-Viedma. Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowledge-Based Systems 137 (2017) 54-64.
  

2016 (4)

• [1899] J.A. Morente-Molinera, R. Al-hmouz, A. Morfeq, A.S. Balamash, E. Herrera-Viedma. A Decision Support System for Decision Making in Changeable and Multi-Granular Fuzzy Linguistic Contexts. J. of Mult.-Valued Logic & Soft Computing 26.3-5 (2016) 485-514.
  
• [1954] J.A. Morente-Molinera, R. Wikström, E. Herrera-Viedma, C. Carlsson. An implementation of a linguistic mobile decision support system based on fuzzy ontologies to facilitate knowledge mobilization. Decision Support Systems 81 (2016) 66-75. doi: 10.1016/j.dss.2015.09.001
  
• [1961] J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma. Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies. Information Sciences 328 (2016) 418-434. doi: 10.1016/j.ins.2015.08.051
  
• [2074] M.R. Ureña, F.J. Cabrerizo, J.A. Morente-Molinera, E. Herrera-Viedma. GDM-R: A new framework in R to support fuzzy group decision making processes. Information Sciences 357 (2016) 161-181. doi: 10.1016/j.ins.2016.03.008
  

2015 (4)

• [1855] J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma. On multi-granular fuzzy linguistic modelling in group decision making problems: a systematic review and future trends. Knowledge-Based Systems 74 (2015) 49-60. doi: 10.1016/j.knosys.2014.11.001
  
• [1859] M.R. Ureña, F. Chiclana, J.A. Morente-Molinera, E. Herrera-Viedma. Managing Incomplete Preference Relations in Decision Making: A Review and Future Trends. Information Sciences 302:1 (2015) 14-32. doi: 10.1016/j.ins.2014.12.061
  
• [1931] F.J. Cabrerizo, J.A. Morente-Molinera, I.J. Pérez, J. López-Gijón, E. Herrera-Viedma. A decision support system to develop a quality management in academic digital libraries. Information Sciences 323 (2015) 48-58. doi: 10.1016/j.ins.2015.06.022
  
• [1948] J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma. Building and Managing Fuzzy Ontologies with Heterogeneous Linguistic Information. Knowledge-Based Systems 88 (2015) 154–164. doi: 10.1016/j.knosys.2015.07.035
  

2012 (1)

• [1754] S. Toledo-Redondo, A. Salinas Extremera, J.A. Morente-Molinera, A. Méndez-Montoro de Damas, J. F. Fornieles-Callejón, J. Portí-Durán, J. A. Morente-Chiquero. Parallel 3D-TLM algorithm for simulation of the Earth-ionosphere cavity. Journal of computational physics 236 (2012) 267-379.
  

2011 (1)

• [1491] J.A. Morente, E.A. Navarro, J.A. Portí, A. Salinas, J.A. Morente-Molinera, S. Toledo-Redondo, W.J. O’Connor, B.P. Besser, H.I.M. Lichtenegger, J. Fornieles, and A. Méndez. A Late-Time Analysis Procedure for Extracting Weak Resonances. Application to the Schumann Resonances Obtained with the Tlm Method. Progress in Electromagnetics Research (PIER), vol. 117,pp. 1-18, 2011. doi: 10.2528/PIER11040405