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Citácie

  • Celkový počet citácií       205
H. Bustince – C. Marco-Detchart – J. Fernandez – C. Wagner – J. Garibaldi – Z. Takáč: Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders. Fuzzy Sets and Systems, zv. 390, str. 23–47, 2020.
  • Počet citácií       12
  • Díaz, S. – Díaz, I. – Montes, S.: An interval-valued divergence for interval-valued fuzzy sets. Communications in Computer and Information Science, zv. 1238 CCIS, str. 241-249, 2020.
  • L. T. Kóczy – M. E. Cornejo – J. Medina: Algebraic structure of fuzzy signatures. Fuzzy Sets and Systems, 2020.
  • Pekala, B. – Rak, E. – Kosior, D. – Mrukowicz, M. – Bazan, J.G.: Application of similarity measures with uncertainty in classification methods. V IEEE International Conference on Fuzzy Systems, 2020.
  • Wu, H. – Wang, J. – Liu, S. – Yang, T.: Research on decision-making of emergency plan for waterlogging disaster in subway station project based on linguistic intuitionistic fuzzy set and TOPSIS. Mathematical Biosciences and Engineering, č. 5, zv. 17, str. 4825-4851, 2020.
  • Pękala, B. – Dyczkowski, K. – Grzegorzewski, P. – Bentkowska, U.: Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Information Sciences, zv. 547, str. 1182-1200, 2021.
  • Guijarro, E. – Babiloni, E. – Canós-Darós, M.J. – Canós-Darós, L. – Estellés-Miguel, S.: Fuzzy Modeling Approach to On-Hand Stock Levels Estimation in (R,S) Inventory Systems with Lost Sales. International Journal of Industrial Engineering and Management, č. 3, zv. 13, str. 464-474, 2020.
  • Suo, C. – Li, Y. – Li, Z.: On n-polygonal interval-value fuzzy sets and numbers. Fuzzy Sets and Systems, 2020.
  • Che, R. – Suo, C. – Li, Y.: An approach to construct entropies on interval-valued intuitionistic fuzzy sets by their distance functions. Soft Computing, č. 10, zv. 25, str. 6879-6889, 2021.
  • Cheng, X. – Wan, S. – Dong, J. – Martínez, L.: New decision-making methods with interval reciprocal preference relations: A new admissible order relation of intervals. Information Sciences, zv. 569, str. 400-429, 2021.
  • Li, X. – Suo, C. – Li, Y.: Width-based distance measures on interval-valued intuitionistic fuzzy sets. Journal of Intelligent and Fuzzy Systems, č. 5, zv. 40, str. 8857-8869, 2021.
  • Kóczy, L.T. – Cornejo, M.E. – Medina, J.: Algebraic structure of fuzzy signatures. Fuzzy Sets and Systems, zv. 418, str. 25-50, 2021.
  • Suo, C. – Li, Y. – Li, Z.: On n-polygonal interval-valued fuzzy sets. Fuzzy Sets and Systems, zv. 417, str. 46-70, 2021.
A. H. Altalhi – J. I. Forcén – M. Pagola – E. Barrenechea – H. Bustince – Z. Takáč: Moderate deviation and restricted equivalence functions for measuring similarity between data. Information Sciences, zv. 501, str. 19–29, 2019.
  • Počet citácií       1
  • Zhai, Z. – Ortega, J.-F.M. – Beltran, V. – Martínez, N.L.: An associated representation method for defining agricultural cases in a case-based reasoning system for fast case retrieval. Sensors (Switzerland), č. 23, zv. 19, 2019.
H. Santos – I. Couso – B. Bedregal – Z. Takáč – M. Minárová – A. Asiain – E. Barrenechea – H. Bustince: Similarity measures, penalty functions, and fuzzy entropy from new fuzzy subsethood measures. International Journal of Intelligent Systems, zv. 36, str. 1281–1302, 2019.
  • Počet citácií       1
  • Quek, S.G. – Selvachandran, G. – Smarandache, F. – Vimala, J. – Le, S.H. – Bui, Q.-T. – Gerogiannis, V.C.: Entropy measures for plithogenic sets and applications in multi-attribute decision making. Mathematics, č. 6, zv. 8, str. 965, 2020.
Z. Takáč – H. Bustince – J. M. Pintor – C. Marco-Detchart – I. Couso: Width-Based Interval-Valued Distances and Fuzzy Entropies. IEEE Access, zv. 7, str. 14044–14057, 2019.
  • Počet citácií       2
  • Díaz, S. – Díaz, I. – Montes, S.: An interval-valued divergence for interval-valued fuzzy sets. Communications in Computer and Information Science, zv. 1238 CCIS, str. 241-249, 2020.
  • Li, X. – Suo, C. – Li, Y.: Width-based distance measures on interval-valued intuitionistic fuzzy sets. Journal of Intelligent and Fuzzy Systems, č. 5, zv. 40, str. 8857-8869, 2021.
M. J. Asiain – H. Bustince – R. Mesiar – A. KolesárováZ. Takáč: Negations With Respect to Admissible Orders in the Interval-Valued Fuzzy Set Theory. IEEE Transactions on Fuzzy Systems, č. 2, zv. 26, str. 556–568, 2018.
  • Počet citácií       20
  • Pȩkala, B.: Compositions consistent with the modus ponens property used in approximate reasoning. Advances in Intelligent Systems and Computing, zv. 643, str. 138-149, 2018.
  • Ren, L. – Lu, H. – Zhao, H. – Xia, J.: An interval-valued triangular fuzzy modified multi-attribute preference model for prioritization of groundwater resources management. Journal of Hydrology, zv. 562, str. 335-345, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, zv. 367, str. 1-181, 2019.
  • Chen, B. – Guo, Y. – Gao, X. – Wang, Y.: A novel multi-attribute decision making approach: Addressing the complexity of time dependent and interdependent data. IEEE Access, č. 8478128, zv. 6, str. 55838-55849, 2018.
  • Torres-Blanc, C. – Cubillo, S. – Hernandez-Varela, P.: New Negations on the Membership Functions of Type-2 Fuzzy Sets. IEEE Transactions on Fuzzy Systems, č. 7, zv. 27, str. 1397-1406, 2019.
  • Baglio, S. – Cammarata, A. – Cortis, P. – Bello, L.L. – Maddio, P.D. – Nicosia, S. – Patti, G. – Sciberras, S. – Scicluna, J. – Scuderi, V. – Sinatra, R. – Trigona, C.: Virtual biosensors for the estimation of medical precursors. V 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings, 2019.
  • Ahmad, Z. – Mahmood, T. – Saad, M. – Jan, N. – Ullah, K.: Similarity measures for picture hesitant fuzzy sets and their applications in pattern recognition. Journal of Prime Research in Mathematics, č. 1, zv. 15, str. 81-100, 2019.
  • Pekala, B.: Uncertainty data creating interval-valued fuzzy relation in decision making model with general preference structure. Iranian Journal of Fuzzy Systems, zv. 15, str. 1-16, 2018.
  • Овчарук, Вадим Володимирович: Системи адміністрування в управлінні підприємствами з урахуванням євроінтеграційних процесів. 2019.
  • Cornejo, M.E. – Medina, J. – Ramírez-Poussa, E.: Implication operators generating pairs of weak negations and their algebraic structure. Fuzzy Sets and Systems, zv. 405, str. 18-39, 2021.
  • Pękala, B. – Dyczkowski, K. – Grzegorzewski, P. – Bentkowska, U.: Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Information Sciences, zv. 547, str. 1182-1200, 2021.
  • Naeem, M. – Qiyas, M. – Al-Shomrani, M.M. – Abdullah, S.: Similarity measures for fractional orthotriple fuzzy sets using cosine and cotangent functions and their application in accident emergency response. Mathematics, č. 10, zv. 8, 2020.
  • Pan, Y. – Zhang, L. – Li, Z. – Ding, L.: Improved Fuzzy Bayesian Network-Based Risk Analysis with Interval-Valued Fuzzy Sets and D-S Evidence Theory. IEEE Transactions on Fuzzy Systems, č. 9, zv. 28, str. 2063-2077, 2020.
  • Dyczkowski, K. – Pekala, B. – Baczynski, M. – Szkola, J. – Pilkas, T.: The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pekala, B. – Rak, E. – Kosior, D. – Mrukowicz, M. – Bazan, J.G.: Application of similarity measures with uncertainty in classification methods. V IEEE International Conference on Fuzzy Systems, 2020.
  • Durnyak, B. – Lutskiv, M. – Shepita, P. – Nechepurenko, V.: Simulation of a Combined Robust System with a P-Fuzzy Controller. Advances in Intelligent Systems and Computing, zv. 1020, str. 570-580, 2020.
  • Ortynska, N. – Kuzmin, O. – Ovcharuk, V. – Zhezhukha, V.: Assessment of the formation of administration systems in the enterprise management. Lecture Notes on Data Engineering and Communications Technologies, zv. 30, str. 161-178, 2020.
  • Pȩkala, B. – Szkoła, J. – Dyczkowski, K. – Piłka, T.: New methods for comparing interval-valued fuzzy cardinal numbers. Communications in Computer and Information Science, zv. 1238 CCIS, str. 523-536, 2020.
  • Cornejo, M.E. – Medina, J. – Ramírez-Poussa, E.: Algebraic Structure of Adjoint Triples Generating a Weak Negation on the Unit Interval. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), zv. 12179 LNAI, str. 337-348, 2020.
  • Bentkowska, U.: Fuzzy Sets and Their Extensions. Studies in Fuzziness and Soft Computing, zv. 378, str. 3-23, 2020.
M. Minárová – D. Paternain – A. Jurio – J. Ruiz-Aranguren – Z. Takáč – H. Bustince: Modifying the gravitational search algorithm: A functional study. Information Sciences, zv. 430-431, str. 87–103, 2018.
  • Počet citácií       9
  • Mesiar, R. – Kolesárová, A.: Aggregation functions in fuzzy set theory: History and some recent advances. V 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2018, str. 94-97, 2018.
  • Martin, B. – Marot, J. – Bourennane, S.: Mixed grey wolf optimizer for the joint denoising and unmixing of multispectral images. Applied Soft Computing Journal, zv. 74, str. 385-410, 2019.
  • Mesiar, R. – Kolesarova, A.: On the Fuzzy Set Theory and Aggregation Functions: History and Some Recent Advances. Iranian Journal of Fuzzy Systems, zv. 15, str. 1-12, 2018.
  • Mahanipour, A. – Nezamabadi-pour, H.: A multiple feature construction method based on gravitational search algorithm. Expert Systems with Applications, zv. 127, str. 199-209, 2019.
  • Khanum, R.A. – Jan, M.A. – Aldegheishem, A. – Mehmood, A. – Alrajeh, N. – Khanan, A.: Two New Improved Variants of Grey Wolf Optimizer for Unconstrained Optimization. IEEE Access, č. 8928579, zv. 8, str. 30805-30825, 2020.
  • Yanjiao Wang – Ye Chen: Coverage-All Targets Algorithm for 3D Wireless Multimedia Sensor Networks Based on the Gravitational Search Algorithm. Automatic Control and Computer Sciences, č. 5, zv. 53, str. 429-440, 2019.
  • Pelusi, D. – Mascella, R. – Tallini, L. – Nayak, J. – Naik, B. – Deng, Y.: Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm. Knowledge-Based Systems, č. 105404, zv. 193, 2020.
  • Das, N. – P, A.P.: FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization. Applied Intelligence, 2020.
  • Das, N. – P, A.P.: FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization. Applied Intelligence, č. 4, zv. 51, str. 1857-1887, 2021.
Z. Takáč – M. Minárová – J. Montero – E. Barrenechea – J. Fernandez – H. Bustince: Interval-valued fuzzy strong S-subsethood measures, interval-entropy and P-interval-entropy. Information Sciences, zv. 451-452, str. 97–115, 2018.
  • Počet citácií       8
  • Mesiar, R. – Kolesárová, A.: Aggregation functions in fuzzy set theory: History and some recent advances. V 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2018, str. 94-97, 2018.
  • Kabir, S. – Wagner, C. – Havens, T.C. – Anderson, D.T.: A Similarity Measure Based on Bidirectional Subsethood for Intervals. IEEE Transactions on Fuzzy Systems, č. 11, zv. 28, str. 2890-2904, 2020.
  • Mesiar, R. – Kolesarova, A.: On the Fuzzy Set Theory and Aggregation Functions: History and Some Recent Advances. Iranian Journal of Fuzzy Systems, zv. 15, str. 1-12, 2018.
  • Mishra, A.R. – Rani, P. – Pardasani, K.R. – Mardani, A. – Stević, Ž. – Pamučar, D.: A novel entropy and divergence measures with multi-criteria service quality assessment using interval-valued intuitionistic fuzzy TODIM method. Soft Computing, č. 15, zv. 24, str. 11641-11661, 2020.
  • Dyczkowski, K. – Pekala, B. – Baczynski, M. – Szkola, J. – Pilkas, T.: The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pekala, B. – Rak, E. – Kosior, D. – Mrukowicz, M. – Bazan, J.G.: Application of similarity measures with uncertainty in classification methods. V IEEE International Conference on Fuzzy Systems, 2020.
  • Aggarwal, M.: Redefining fuzzy entropy with a general framework. Expert Systems with Applications, č. 113671, zv. 164, 2021.
  • Pękala, B. – Dyczkowski, K. – Grzegorzewski, P. – Bentkowska, U.: Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Information Sciences, zv. 547, str. 1182-1200, 2021.
D. Paternain – A. Jurio – J. Ruiz-Aranguren – M. Minárová – Z. Takáč – H. Bustince: Optimized fuzzy transform for image compression. V Advances in Intelligent Systems and Computing, zv. 643, str. 118–128, 2018.
  • Počet citácií       2
  • Hurtik, P. – Tomasiello, S.: A review on the application of fuzzy transform in data and image compression. Soft Computing, č. 23, zv. 23, str. 12641-12653, 2019.
  • Monica, D. – Widipaminto, A.: Fuzzy transform for high-resolution satellite images compression. Telkomnika (Telecommunication Computing Electronics and Control), č. 2, zv. 18, str. 1130-1136, 2020.
H. Zapata – H. Bustince – S. Montes – B. Bedregal – G. P. Dimuro – Z. Takáč – M. Baczyński – J. Fernandez: Interval-valued implications and interval-valued strong equality index with admissible orders. International Journal of Approximate Reasoning, zv. 88, str. 91–109, 2017.
  • Počet citácií       20
  • Xiaobin Yang – Haitao Lin – Gang Xiao – Huanbin Xue – Xiaopeng Yang: Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter. Complexity, č. 8179763, zv. 2019, 2019.
  • Bentkowska, U. – Pȩkala, B.: Diverse classes of interval-valued aggregation functions in medical diagnosis support. Communications in Computer and Information Science, zv. 855, str. 391-403, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, zv. 367, str. 1-181, 2019.
  • Sun, G. – Guan, X. – Yi, X. – Zhao, J.: Belief intervals aggregation. International Journal of Intelligent Systems, č. 12, zv. 33, str. 2425-2447, 2018.
  • Li, D. – Zhu, M.: Interval-valued fuzzy inference based on aggregation functions. International Journal of Approximate Reasoning, zv. 113, str. 74-90, 2019.
  • Moura, B.M.P. – Schneider, G.B. – Yamin, A.C. – Pilla, M.L. – Reiser, R.H.S.: Allocating Virtual Machines exploring Type-2 Fuzzy Logic and Admissible Orders. V IEEE International Conference on Fuzzy Systems, 2019.
  • Schneider, G.B. – Moura, B.M.P. – Yamin, A.C. – Reiser, R.H.S.: Int-flbcc: Model for load balancing in cloud computing using fuzzy logic type-2 and admissible orders [Int-flbcc: Modelo para balanceamento de carga em nuvens computacionais empregando l´ogica fuzzy tipo-2 e ordens admiss´ıveis]. Revista de Informatica Teorica e Aplicada, č. 3, zv. 27, str. 102-117, 2020.
  • Bentkowska, U.: Interval-Valued Methods in Medical Decision Support Systems. Studies in Fuzziness and Soft Computing, zv. 378, str. 121-130, 2020.
  • Pȩkala, B. – Szkoła, J. – Dyczkowski, K. – Piłka, T.: New methods for comparing interval-valued fuzzy cardinal numbers. Communications in Computer and Information Science, zv. 1238 CCIS, str. 523-536, 2020.
  • Bentkowska, U.: Aggregation in Interval-Valued Settings. Studies in Fuzziness and Soft Computing, zv. 378, str. 25-68, 2020.
  • Bentkowska, U.: Fuzzy Sets and Their Extensions. Studies in Fuzziness and Soft Computing, zv. 378, str. 3-23, 2020.
  • Zhou, H. – Liu, X.: Characterizations of (U2,N)-implications generated by 2-uninorms and fuzzy negations from the point of view of material implication. Fuzzy Sets and Systems, zv. 378, str. 79-102, 2020.
  • Wang, Z.-J. – Lin, J.: Consistency and optimized priority weight analytical solutions of interval multiplicative preference relations. Information Sciences, zv. 482, str. 105-122, 2019.
  • Drygas, P. – Pekala, B. – Balicki, K. – Kosior, D.: Influence of new interval-valued pre-aggregation function on medical decision making. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pekala, B. – Rak, E. – Kosior, D. – Mrukowicz, M. – Bazan, J.G.: Application of similarity measures with uncertainty in classification methods. V IEEE International Conference on Fuzzy Systems, 2020.
  • Bentkowska, U. – Bazan, J.G. – Mrukowicz, M. – Zareba, L. – Molenda, P.: Multi-class classification problems for the k-NN algorithm in the case of missing values. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pękala, B. – Dyczkowski, K. – Grzegorzewski, P. – Bentkowska, U.: Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Information Sciences, zv. 547, str. 1182-1200, 2021.
  • Cao, M. – Hu, B.Q.: On interval RO- and (G,O,N)-implications derived from interval overlap and grouping functions. International Journal of Approximate Reasoning, zv. 128, str. 102-128, 2021.
  • Luo, M. – Wang, Y. – Zhao, R.: Interval-valued fuzzy reasoning method based on similarity measure. Journal of Logical and Algebraic Methods in Programming, č. 100541, zv. 113, 2020.
  • Boczek, M. – Jin, L. – Kaluszka, M.: Interval-valued seminormed fuzzy operators based on admissible orders. Information Sciences, zv. 574, str. 96-110, 2021.
J. Drgoňa – Z. Takáč – M. Horňák – R. ValoM. Kvasnica: Fuzzy Control of a Laboratory Binary Distillation Column. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 120–125, 2017.
  • Počet citácií       4
  • Maulidda, R. – Rusmin, P.H. – Rohman, A.S. – Idris Hidayat, E.M. – Mahayana, D.: Modeling and Simulation of Mini Batch Distillation Column. V Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017, str. 62-67, 2018.
  • Mirzavand, N. – Piltan, F. – Kim, J.-M.: Intelligent control of an uncertain distillation column using a multivariable filter decoupling-based PID like fuzzy controller. International Journal of Control and Automation, č. 1, zv. 11, str. 99-112, 2018.
  • Rohman, A.S. – Rusmin, P.H. – Maulidda, R. – Hidayat, E.M.I. – Machbub, C. – Mahayana, D.: Modelling of the Mini Batch Distillation Column. International Journal on Electrical Engineering and Informatic, č. 2, zv. 10, str. 350-368, 2018.
  • Alawad, N. – Alseady, A.: Fuzzy controller of model reduction distillation column with minimal rules. Applied Computer Science, č. 2, zv. 16, str. 80-94, 2020.
  • Počet citácií       1
  • R. Boukezzoula – S. Galichet – L. Foulloy: Min and Max Operators for Gradual Intervals. IEEE Transactions on Fuzzy Systems, č. 6, zv. 26, str. 3569-3578, 2018.
M. J. Asiain – H. Bustince – B. Bedregal – Z. Takáč – M. Baczyński – D. Paternain – G. P. Dimuro: About the Use of Admissible Order for Defining Implication Operators. Editor(i): P.J. Carvalho, M.J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, R.R. Yager, V Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I, Springer International Publishing, str. 353–362, 2016.
  • Počet citácií       6
  • Pȩkala, B.: Compositions consistent with the modus ponens property used in approximate reasoning. Advances in Intelligent Systems and Computing, zv. 643, str. 138-149, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, zv. 367, str. 1-181, 2019.
  • Pȩkala, B. – Szkoła, J. – Dyczkowski, K. – Piłka, T.: New methods for comparing interval-valued fuzzy cardinal numbers. Communications in Computer and Information Science, zv. 1238 CCIS, str. 523-536, 2020.
  • Drygas, P. – Pekala, B. – Balicki, K. – Kosior, D.: Influence of new interval-valued pre-aggregation function on medical decision making. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pekala, B. – Rak, E. – Kosior, D. – Mrukowicz, M. – Bazan, J.G.: Application of similarity measures with uncertainty in classification methods. V IEEE International Conference on Fuzzy Systems, 2020.
  • Pękala, B. – Dyczkowski, K. – Grzegorzewski, P. – Bentkowska, U.: Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment. Information Sciences, zv. 547, str. 1182-1200, 2021.
  • Počet citácií       12
  • Zywica, P. – Stachowiak, A. – Wygralak, M.: An algorithmic study of relative cardinalities for interval-valued fuzzy sets. Fuzzy Sets and Systems, zv. 294, str. 105–124, 2016.
  • Meng, D. – Zhang, H. – Huang, T.: A concurrent reliability optimization procedure in the earlier design phases of complex engineering systems under epistemic uncertainties. Advances in Mechanical Engineering, č. 10, zv. 8, str. 1-8, 2016.
  • Miao, Z. – Cai, X. – Luo, Q. – Dong, W.: A FLRBF scheme for optimization of forwarding broadcast packets in vehicular ad hoc networks. V IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2016.
  • Bedregal, B. – Bustince, H. – Palmeira, E. – Dimuro, G. – Fernandez, J.: Generalized interval-valued OWA operators with interval weights derived from interval-valued overlap functions. International Journal of Approximate Reasoning, zv. 90, str. 1-16, 2017.
  • Qiao, J. – Hu, B.Q.: On interval additive generators of interval overlap functions and interval grouping functions. Fuzzy Sets and Systems, zv. 323, str. 19-55, 2017.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, zv. 367, str. 1-181, 2019.
  • Xiaoxia Ren – Hong Wang: Hybrid monotonic inclusion measures for interval-valued hesitant fuzzy sets. Annals of Fuzzy Mathematics and Informatics, č. 5, zv. 13, str. 615-628, 2017.
  • Cao, M. – Hu, B.Q. – Qiao, J.: On interval (G,N)-implications and (O,G,N)-implications derived from interval overlap and grouping functions. International Journal of Approximate Reasoning, zv. 100, str. 135-160, 2018.
  • Xia, T. – He, S.: A New Energy-Efficient Flooding Broadcast Time Synchronization for Wireless Sensor Networks. Lecture Notes in Control and Information Sciences, zv. 480, str. 309-320, 2019.
  • Yuan, J. – Luo, X.: Approach for multi-attribute decision making based on novel intuitionistic fuzzy entropy and evidential reasoning. Computers and Industrial Engineering, zv. 135, str. 643-654, 2019.
  • Cao, M. – Hu, B.Q.: On interval RO- and (G,O,N)-implications derived from interval overlap and grouping functions. International Journal of Approximate Reasoning, zv. 128, str. 102-128, 2021.
  • Singh, P. – Huang, Y.-P.: A four-way decision-making approach using interval-valued fuzzy sets, rough set and granular computing: a new approach in data classification and decision-making. Granular Computing, č. 3, zv. 5, str. 397-409, 2021.
Z. Takáč: Aggregation of fuzzy truth values. Information Sciences, zv. 271, str. 1–13, 2014.
  • Počet citácií       27
  • Wang, Ch. Y.: Notes on aggregation of fuzzy truth values. Information Sciences, zv. 296, str. 119-127, 2015.
  • Li, D.: Type-2 triangular norms and their residual operators. Information Sciences, zv. 317, str. 259-277, 2015.
  • Cubillo, S. – Hernández, P. – Torres-Blanc, C.: Examples of Aggregation Operators on Membership Degrees of Type-2 Fuzzy Sets. Atlantis Press, V Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), str. 719-726, 2015.
  • Wang, C.Y.: Type-2 fuzzy rough sets based on extended t-norms. Information Sciences, zv. 305, str. 165-183, 2015.
  • Kolesárová, A. – Mesiar, R.: Aggregation on L_k([0,1]). V International Symposium on Aggregation on Bounded Lattices (ABLAT 2014), Karadeniz Technical University, str. 39-40, 2014.
  • Wang, C.Y.: Generalized aggregation of fuzzy truth values. Information Sciences, zv. 324, str. 208-216, 2015.
  • Wang, C.Y. – Hu, B.Q.: On fuzzy-valued operations and fuzzy-valued fuzzy sets. Fuzzy Sets and Systems, zv. 268, str. 79-92, 2015.
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