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Department of Mathematics (DM)
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Citations

  • Total citations       159
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, vol. 390, pp. 23–47, 2020.
  • Number of citations       1
  • Díaz, S. – Díaz, I. – Montes, S.: An interval-valued divergence for interval-valued fuzzy sets. Communications in Computer and Information Science, vol. 1238 CCIS, pp. 241-249, 2020.
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, vol. 501, pp. 19–29, 2019.
  • Number of citations       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), no. 23, vol. 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, vol. 34, pp. 1281–1302, 2019.
  • Number of citations       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, no. 6, vol. 8, pp. 965, 2020.
Z. Takáč – H. Bustince – J. M. Pintor – C. Marco-Detchart – I. Couso: Width-Based Interval-Valued Distances and Fuzzy Entropies. IEEE Access, vol. 7, pp. 14044–14057, 2019.
  • Number of citations       1
  • Díaz, S. – Díaz, I. – Montes, S.: An interval-valued divergence for interval-valued fuzzy sets. Communications in Computer and Information Science, vol. 1238 CCIS, pp. 241-249, 2020.
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, no. 2, vol. 26, pp. 556–568, 2018.
  • Number of citations       14
  • Pȩkala, B. – Szkoła, J. – Dyczkowski, K. – Piłka, T.: New methods for comparing interval-valued fuzzy cardinal numbers. Communications in Computer and Information Science, vol. 1238 CCIS, pp. 523-536, 2020.
  • Pȩkala, B.: Compositions consistent with the modus ponens property used in approximate reasoning. Advances in Intelligent Systems and Computing, vol. 643, pp. 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, vol. 562, pp. 335-345, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, vol. 367, pp. 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, no. 8478128, vol. 6, pp. 55838-55849, 2018.
  • 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), vol. 12179 LNAI, pp. 337-348, 2020.
  • Bentkowska, U.: Fuzzy Sets and Their Extensions. Studies in Fuzziness and Soft Computing, vol. 378, pp. 3-23, 2020.
  • Ortynska, N. – Kuzmin, O. – Ovcharuk, V. – Zhezhukha, V.: Assessment of the Formation of Administration Systems in the Enterprise Management, pp. 161-178, 2020.
  • Torres-Blanc, C. – Cubillo, S. – Hernandez-Varela, P.: New Negations on the Membership Functions of Type-2 Fuzzy Sets. IEEE Transactions on Fuzzy Systems, no. 7, vol. 27, pp. 1397-1406, 2019.
  • 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, vol. 1020, pp. 570-580, 2020.
  • 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. In 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, no. 1, vol. 15, pp. 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, vol. 15, pp. 1-16, 2018.
  • Овчарук, Вадим Володимирович: Системи адміністрування в управлінні підприємствами з урахуванням євроінтеграційних процесів. 2019.
M. Minárová – D. Paternain – A. Jurio – J. Ruiz-Aranguren – Z. Takáč – H. Bustince: Modifying the gravitational search algorithm: A functional study. Information Sciences, vol. 430-431, pp. 87–103, 2018.
  • Number of citations       7
  • Mesiar, R. – Kolesárová, A.: Aggregation functions in fuzzy set theory: History and some recent advances. In 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2018, pp. 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, vol. 74, pp. 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, vol. 15, pp. 1-12, 2018.
  • Mahanipour, A. – Nezamabadi-pour, H.: A multiple feature construction method based on gravitational search algorithm. Expert Systems with Applications, vol. 127, pp. 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, no. 8928579, vol. 8, pp. 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, no. 5, vol. 53, pp. 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, no. 105404, vol. 193, 2020.
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, vol. 451-452, pp. 97–115, 2018.
  • Number of citations       3
  • Mesiar, R. – Kolesárová, A.: Aggregation functions in fuzzy set theory: History and some recent advances. In 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2018, pp. 94-97, 2018.
  • Mesiar, R. – Kolesarova, A.: On the Fuzzy Set Theory and Aggregation Functions: History and Some Recent Advances. Iranian Journal of Fuzzy Systems, vol. 15, pp. 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, no. 15, vol. 24, pp. 11641-11661, 2020.
D. Paternain – A. Jurio – J. Ruiz-Aranguren – M. Minárová – Z. Takáč – H. Bustince: Optimized fuzzy transform for image compression. In Advances in Intelligent Systems and Computing, vol. 643, pp. 118–128, 2018.
  • Number of citations       2
  • Hurtik, P. – Tomasiello, S.: A review on the application of fuzzy transform in data and image compression. Soft Computing, no. 23, vol. 23, pp. 12641-12653, 2019.
  • Monica, D. – Widipaminto, A.: Fuzzy transform for high-resolution satellite images compression. Telkomnika (Telecommunication Computing Electronics and Control), no. 2, vol. 18, pp. 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, vol. 88, pp. 91–109, 2017.
  • Number of citations       14
  • Xiaobin Yang – Haitao Lin – Gang Xiao – Huanbin Xue – Xiaopeng Yang: Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter. Complexity, no. 8179763, vol. 2019, 2019.
  • Bentkowska, U. – Pȩkala, B.: Diverse classes of interval-valued aggregation functions in medical diagnosis support. Communications in Computer and Information Science, vol. 855, pp. 391-403, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, vol. 367, pp. 1-181, 2019.
  • Sun, G. – Guan, X. – Yi, X. – Zhao, J.: Belief intervals aggregation. International Journal of Intelligent Systems, no. 12, vol. 33, pp. 2425-2447, 2018.
  • Li, D. – Zhu, M.: Interval-valued fuzzy inference based on aggregation functions. International Journal of Approximate Reasoning, vol. 113, pp. 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. In 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, no. 3, vol. 27, pp. 102-117, 2020.
  • Bentkowska, U.: Interval-Valued Methods in Medical Decision Support Systems. Studies in Fuzziness and Soft Computing, vol. 378, pp. 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, vol. 1238 CCIS, pp. 523-536, 2020.
  • Bentkowska, U.: Aggregation in Interval-Valued Settings. Studies in Fuzziness and Soft Computing, vol. 378, pp. 25-68, 2020.
  • Bentkowska, U.: Fuzzy Sets and Their Extensions. Studies in Fuzziness and Soft Computing, vol. 378, pp. 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, vol. 378, pp. 79-102, 2020.
  • Wang, Z.-J. – Lin, J.: Consistency and optimized priority weight analytical solutions of interval multiplicative preference relations. Information Sciences, vol. 482, pp. 105-122, 2019.
  • Luo, Minxia – Wang, Yajing – Zhao, Ruirui: Interval-valued fuzzy reasoning method based on similarity measure. Journal of Logical and Algebraic Methods in Programming, no. UNSP 100541, vol. 113, 2020.
J. Drgoňa – Z. Takáč – M. Horňák – R. ValoM. Kvasnica: Fuzzy Control of a Laboratory Binary Distillation Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 120–125, 2017.
  • Number of citations       4
  • Maulidda, R. – Rusmin, P.H. – Rohman, A.S. – Idris Hidayat, E.M. – Mahayana, D.: Modeling and Simulation of Mini Batch Distillation Column. In Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017, pp. 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, no. 1, vol. 11, pp. 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, no. 2, vol. 10, pp. 350-368, 2018.
  • Alawad, N. – Alseady, A.: Fuzzy controller of model reduction distillation column with minimal rules. Applied Computer Science, no. 2, vol. 16, pp. 80-94, 2020.
  • Number of citations       1
  • R. Boukezzoula – S. Galichet – L. Foulloy: Min and Max Operators for Gradual Intervals. IEEE Transactions on Fuzzy Systems, no. 6, vol. 26, pp. 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(s): P.J. Carvalho, M.J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, R.R. Yager, In 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, pp. 353–362, 2016.
  • Number of citations       3
  • Pȩkala, B.: Compositions consistent with the modus ponens property used in approximate reasoning. Advances in Intelligent Systems and Computing, vol. 643, pp. 138-149, 2018.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, vol. 367, pp. 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, vol. 1238 CCIS, pp. 523-536, 2020.
  • Number of citations       10
  • Zywica, P. – Stachowiak, A. – Wygralak, M.: An algorithmic study of relative cardinalities for interval-valued fuzzy sets. Fuzzy Sets and Systems, vol. 294, pp. 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, no. 10, vol. 8, pp. 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. In 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, vol. 90, pp. 1-16, 2017.
  • Qiao, J. – Hu, B.Q.: On interval additive generators of interval overlap functions and interval grouping functions. Fuzzy Sets and Systems, vol. 323, pp. 19-55, 2017.
  • Pękala, B.: Uncertainty data in interval-valued fuzzy set theory: Properties, algorithms and applications. Studies in Fuzziness and Soft Computing, vol. 367, pp. 1-181, 2019.
  • Xiaoxia Ren – Hong Wang: Hybrid monotonic inclusion measures for interval-valued hesitant fuzzy sets. Annals of Fuzzy Mathematics and Informatics, no. 5, vol. 13, pp. 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, vol. 100, pp. 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, vol. 480, pp. 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, vol. 135, pp. 643-654, 2019.
Z. Takáč: Aggregation of fuzzy truth values. Information Sciences, vol. 271, pp. 1–13, 2014.
  • Number of citations       24
  • Wang, Ch. Y.: Notes on aggregation of fuzzy truth values. Information Sciences, vol. 296, pp. 119-127, 2015.
  • Li, D.: Type-2 triangular norms and their residual operators. Information Sciences, vol. 317, pp. 259-277, 2015.
  • Cubillo, S. – Hernández, P. – Torres-Blanc, C.: Examples of Aggregation Operators on Membership Degrees of Type-2 Fuzzy Sets. Atlantis Press, In Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), pp. 719-726, 2015.
  • Wang, C.Y.: Type-2 fuzzy rough sets based on extended t-norms. Information Sciences, vol. 305, pp. 165-183, 2015.
  • Kolesárová, A. – Mesiar, R.: Aggregation on L_k([0,1]). In International Symposium on Aggregation on Bounded Lattices (ABLAT 2014), Karadeniz Technical University, pp. 39-40, 2014.
  • Wang, C.Y.: Generalized aggregation of fuzzy truth values. Information Sciences, vol. 324, pp. 208-216, 2015.
  • Wang, C.Y. – Hu, B.Q.: On fuzzy-valued operations and fuzzy-valued fuzzy sets. Fuzzy Sets and Systems, vol. 268, pp. 79-92, 2015.
  • De Miguel, L. – Sesma-Sara, M. – Elkano, M. – Asiain, M. – Bustince, H.: An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators. Information Fusion, vol. 37, pp. 126-131, 2017.
  • Tones-Blanc, Carmen – Cubillo, Susana – Hernandez, Pablo: Aggregation operators on type-2 fuzzy sets. Fuzzy Sets and Systems, no. FE2BY, vol. 324, pp. 74-90, 2017.
  • Dipak Kumar Jana – Palash Sahoo – Laszlo T. Koczy: Comparative study on credibility measures of type-2 and type-1 fuzzy variables and their application to a multi-objective profit transportation problem via goal programming. International Journal of Transportation Science and Technology, no. 2, vol. 6, pp. 110-126, 2017.
  • Dutta, A. – Jana, D.K.: Expectations of the reductions for type-2 trapezoidal fuzzy variables and its application to a multi-objective solid transportation problem via goal programming technique. Journal of Uncertainty Analysis and Applications, no. 3, vol. 5, pp. 1-21, 2017.
  • Jana, D.K.: Novel arithmetic operations on type-2 intuitionistic fuzzy and its applications to transportation problem. Pacific Science Review A: Natural Science and Engineering, no. 3, vol. 18, pp. 178-189, 2016.
  • Xie, Aifang: On Extended Representable Uninorms and Their Extended Fuzzy Implications (Coimplications). Symmetry-basel, no. 8, vol. 9, 2017.
  • De Miguel, L. – Bustince, H. – De Baets, B.: Convolution lattices. Fuzzy Sets and Systems, vol. 335, pp. 67-93, 2018.
  • Torres-Blanc, C. – Hernández-Varela, P. – Cubillo, S.: Self-contradiction for type-2 fuzzy sets whose membership degrees are normal and convex functions. Fuzzy Sets and Systems, vol. 352, pp. 73-91, 2018.
  • Xie, A.: On the extension of nullnorms and uninorms to fuzzy truth values. Fuzzy Sets and Systems, vol. 352, pp. 92-118, 2018.
  • Dan, S. – Kar, M.B. – Majumder, S. – Roy, B. – Kar, S. – Pamucar, D.: Intuitionistic type-2 fuzzy set and its properties. Symmetry, no. 6, vol. 11, 2019.
  • Wang, D. – Pedrycz, W. – Li, Z.: Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach. IEEE Transactions on Cybernetics, no. 2, vol. 49, pp. 417-426, 2019.
  • Torres-Blanc, C. – Cubillo, S. – Hernandez-Varela, P.: New Negations on the Membership Functions of Type-2 Fuzzy Sets. IEEE Transactions on Fuzzy Systems, no. 7, vol. 27, pp. 1397-1406, 2019.
  • Boukezzoula, R. – Jaulin, L. – Foulloy, L.: Thick gradual intervals: An alternative interpretation of type-2 fuzzy intervals and its potential use in type-2 fuzzy computations. Engineering Applications of Artificial Intelligence, vol. 85, pp. 691-712, 2019.
  • Bashir, Z. – Malik, M.G.A. – Afridi, F. – Rashid, T.: The algebraic and lattice structures of type-2 intuitionistic fuzzy sets. Computational and Applied Mathematics, no. 1, vol. 39, 2020.
  • Liu, Zhi-qiang – Wang, Xue-ping: Distributivity between extended nullnorms and uninorms on fuzzy truth values. arXiv preprint arXiv:1911.05074, 2019.
  • Dan, Y. – Hu, B.Q. – Qiao, J.: General L-fuzzy aggregation functions based on complete residuated lattices. Soft Computing, no. 5, vol. 24, pp. 3087-3112, 2020.
  • Wang, X.-P. – Liu, Z.-Q.: Distributivity between extended nullnorms and uninorms on fuzzy truth values. International Journal of Approximate Reasoning, vol. 125, pp. 1-13, 2020.
Z. Takáč: Type-2 aggregation operators. Editor(s): G. Pasi, J. Montero, D. Ciucci, In Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, Atlantis Press, pp. 165–170, 2013.
  • Number of citations       6
  • Wang, Ch. Y.: Notes on aggregation of fuzzy truth values. Information Sciences, vol. 296, pp. 119-127, 2015.
  • Cubillo, S. – Hernández, P. – Torres-Blanc, C.: Examples of Aggregation Operators on Membership Degrees of Type-2 Fuzzy Sets. Atlantis Press, In Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), pp. 719-726, 2015.
  • Kolesárová, A. – Mesiar, R.: Aggregation on L_k([0,1]). In International Symposium on Aggregation on Bounded Lattices (ABLAT 2014), Karadeniz Technical University, pp. 39-40, 2014.
  • Wang, C.Y.: Generalized aggregation of fuzzy truth values. Information Sciences, vol. 324, pp. 208-216, 2015.
  • Tones-Blanc, Carmen – Cubillo, Susana – Hernandez, Pablo: Aggregation operators on type-2 fuzzy sets. Fuzzy Sets and Systems, no. FE2BY, vol. 324, pp. 74-90, 2017.
  • Bashir, Z. – Malik, M.G.A. – Afridi, F. – Rashid, T.: The algebraic and lattice structures of type-2 intuitionistic fuzzy sets. Computational and Applied Mathematics, no. 1, vol. 39, 2020.
  • Number of citations       39
  • Mo, H. – Wang, F.Y. – Zhou, M. – Li, R. – Xiao, Z.: Footprint of uncertainty for type-2 fuzzy sets. Information Sciences,, vol. 272, pp. 96-110, 2014.
  • Kundu, P. – Kar, S. – Maiti, M.: Fixed charge transportation problem with type-2 fuzzy variables. Information Sciences, vol. 255, pp. 170-186, 2014.
  • Li, C. – Zhang, G. – Wang, M. – Yi, J.: Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method. Soft Computing, no. 11, vol. 17, pp. 2075-2088, 2013.
  • Hu, B. Q. – Wang, C. Y.: On type-2 fuzzy relations and interval-valued type-2 fuzzy sets. Fuzzy Sets and Systems, vol. 236, pp. 1-32, 2014.
  • Wang, J.-C. – Chen, T.-Y.: An interval type-2 fuzzy permutation method and experimental analysis for multiple criteria decision analysis with incomplete preference information. Journal of Industrial and Production Engineering, no. 5, vol. 32, pp. 298-310, 2015.
  • Chen, Z. S. – Li, Y. L.: An interdependent multi-attribute group decision making method for complex systems based upon fuzzy input with interval-valued intuitionistic trapezoidal fuzzy numbers. Acta Automatica Sinica, no. 7, vol. 40, pp. 1442-1471, 2014.
  • Reddy, P.V.S.: Generalization of fuzzy sets type-2, fuzzy quantifiers sets and α-cut fuzzy sets fuzzy temporal sets, fuzzy granular sets and fuzzy rough sets for incomplete information. In iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest, pp. 77-81, 2014.
  • Chen, T. Y.: Likelihoods of interval type-2 trapezoidal fuzzy preference relations and their application to multiple criteria decision analysis. Information Sciences, vol. 295, pp. 303-322, 2015.
  • Chen, T. Y.: An interval type-2 fuzzy LINMAP method with approximate ideal solutions for multiple criteria decision analysis. Information Sciences, vol. 297, pp. 50-79, 2015.
  • Wang, J.-C. – Chen, T.-Y.: A simulated annealing-based permutation method and experimental analysis for multiple criteria decision analysis with interval type-2 fuzzy sets. Applied Soft Computing Journal, vol. 36, pp. 57-69, 2015.
  • Nguyen, D.D. – Ngo, L.T. – Pham, L.T. – Pedrycz, W.: Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. Fuzzy Sets and Systems, vol. 279, pp. 17-39, 2015.
  • Zhao, M. – Qin, S.-S. – Li, Q.-W. – Lu, F.-Q. – Shen, Z.: The Likelihood Ranking Methods for Interval Type-2 Fuzzy Sets Considering Risk Preferences. Mathematical Problems in Engineering, no. 680635, 2015.
  • Wang, G. – Li, J. – Yuan, F.: Special fuzzy ellipsoid numbers and expressions of information. Journal of Intelligent and Fuzzy Systems, no. 1, vol. 29, pp. 159-169, 2015.
  • Yang, C. – Chen, W. – Peng, D.H.: An Approach based on TOPSIS for Interval Type-2 Fuzzy Multiple Attributes Decision-making. International Journal of Control and Automation, no. 11, vol. 8, pp. 81-92, 2015.
  • Yao, D. – Liu, X. – Zhang, X. – Wang, C.: Type-2 fuzzy cross-entropy and entropy measures and their applications. Journal of Intelligent and Fuzzy Systems, no. 4, vol. 30, pp. 2169-2180, 2016.
  • Zhang, H. – Yang, S.: Inclusion measure for typical hesitant fuzzy sets, the relative similarity measure and fuzzy entropy. Soft Computing, no. 4, vol. 20, pp. 1277-1287, 2016.
  • Sadana, A. – Reddy, P.V.S.: Generalized fuzzy certainty factor and fuzzy decision set: An application to surgery intelligence. In iFUZZY 2015 - 2015 International Conference on Fuzzy Theory and Its Applications, Conference Digest, pp. 121-126, 2016.
  • Poli, V.S.R.: Method of fuzzy conditional inference and application to fuzzy medical expert systems. In iFUZZY 2015 - 2015 International Conference on Fuzzy Theory and Its Applications, Conference Digest, pp. 115-120, 2016.
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