| Tài liệu tham khảo |
Loại |
Chi tiết |
| [2] G. Mapari and A. Naidu, “Study of fuzzy set theory and its applications,” IOSR Journal of Mathematics, vol. 12, no. 4, pp. 148–154, 2016 |
Sách, tạp chí |
| Tiêu đề: |
Study of fuzzy set theory and its applications,” "IOSR Journal of Mathematics |
|
| [3] T. Sooraj, R. Mohanty, and B. Tripathy, “Hesitant fuzzy soft set theory and its application in decision making,” in Artificial Intelligence and Evolutionary Computations in Engineering Systems, pp. 315–322, Springer, 2017 |
Sách, tạp chí |
| Tiêu đề: |
Hesitant fuzzy soft set theory and itsapplication in decision making,” in "Artificial Intelligence and EvolutionaryComputations in Engineering Systems |
|
| [4] J. C. R. Alcantud and V. Torra, “Decomposition theorems and extension principles for hesitant fuzzy sets,” Information Fusion, vol.41, pp. 48–56, 2018 |
Sách, tạp chí |
| Tiêu đề: |
Decomposition theorems andextension principles for hesitant fuzzy sets,” "Information Fusion |
|
| [5] M.-Q. Wu, T.-Y. Chen, and J.-P. Fan, “Divergence measure of t- spherical fuzzy sets and its applications in pattern recognition,” IEEE Access, vol. 8, pp. 10208–10221, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Divergence measure of t-spherical fuzzy sets and its applications in pattern recognition,” "IEEEAccess |
|
| [6] B. Paik and S. K. Mondal, “A distance-similarity method to solve fuzzy sets and fuzzy soft sets based decision-making problems,” Soft Computing, vol. 24, no. 7, pp. 5217–5229, 2020 |
Sách, tạp chí |
| Tiêu đề: |
A distance-similarity method to solve fuzzysets and fuzzy soft sets based decision-making problems,” "SoftComputing |
|
| [7] L. Tiwari, R. Raja, V. Sharma, and R. Miri, “Fuzzy inference system for efficient lung cancer detection,” in Computer Vision and Machine Intelligence in Medical Image Analysis, pp. 33–41, Springer, 2020 |
Sách, tạp chí |
| Tiêu đề: |
Fuzzy inference system forefficient lung cancer detection,” in "Computer Vision and MachineIntelligence in Medical Image Analysis |
|
| [8] B. Kapadia and A. Jain, “Detection of diabetes mellitus using fuzzy inference system,” Studies in Indian Place Names, vol. 40, no. 53, pp. 104–110, 2020 |
Sách, tạp chí |
| Tiêu đề: |
Detection of diabetes mellitus using fuzzy inferencesystem,” "Studies in Indian Place Names |
|
| [9] A. M. Sagir and S. Sathasivam, “A novel adaptive neuro fuzzy inference system based classification model for heart disease prediction.,”Pertanika Journal of Science & Technology, vol. 25, no. 1, 2017 |
Sách, tạp chí |
| Tiêu đề: |
A novel adaptive neuro fuzzy inferencesystem based classification model for heart disease prediction.,”"Pertanika Journal of Science & Technology |
|
| [10] A. Bakhshipour, H. Zareiforoush, and I. Bagheri, “Application of decision trees and fuzzy inference system for quality classification and modeling of black and green tea based on visual features,” Journal of Food Measurement and Characterization, pp. 1–15, 2020 |
Sách, tạp chí |
| Tiêu đề: |
Application ofdecision trees and fuzzy inference system for quality classification andmodeling of black and green tea based on visual features,” "Journal ofFood Measurement and Characterization |
|
| [11] E. Pourjavad and A. Shahin, “The application of mamdani fuzzy inference system in evaluating green supply chain management performance,”International Journal of Fuzzy Systems, vol. 20, no. 3, pp. 901–912, 2018 |
Sách, tạp chí |
| Tiêu đề: |
The application of mamdani fuzzy inferencesystem in evaluating green supply chain management performance,”"International Journal of Fuzzy Systems |
|
| [12] N. Priyadarshi, F. Azam, A. K. Sharma, and M. Vardia, “An adaptive neuro-fuzzy inference system-based intelligent grid-connected photovoltaic power generation,” in Advances in Computational Intelligence, pp. 3–14, Springer, 2020 |
Sách, tạp chí |
| Tiêu đề: |
An adaptiveneuro-fuzzy inference system-based intelligent grid-connectedphotovoltaic power generation,” in "Advances in ComputationalIntelligence |
|
| [13] A. C. Adoko and S. Yagiz, “Fuzzy inference system-based for tbm field penetration index estimation in rock mass,” Geotechnical and Geological Engineering, vol. 37, no. 3, pp. 1533–1553, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Fuzzy inference system-based for tbm fieldpenetration index estimation in rock mass,” "Geotechnical andGeological Engineering |
|
| [14] J.-S. Jang, “Anfis: adaptive-network-based fuzzy inference system,”IEEE transactions on systems, man, and cybernetics, vol. 23, no. 3, pp. 665–685, 1993 |
Sách, tạp chí |
| Tiêu đề: |
Anfis: adaptive-network-based fuzzy inference system,”"IEEE transactions on systems, man, and cybernetics |
|
| [15] D. Karaboga and E. Kaya, “Adaptive network based fuzzy inference system (anfis) training approaches: a comprehensive survey,” Artificial Intelligence Review, vol. 52, no. 4, pp. 2263–2293, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Adaptive network based fuzzy inferencesystem (anfis) training approaches: a comprehensive survey,” "ArtificialIntelligence Review |
|
| [16] S. Subbulakshmi, G. Marimuthu, and N. Neelavathy, “Application of s - anfis method in coronary artery disease,” Malaya Journal of Matematik (MJM), no. 1, 2019, pp. 535–538, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Application of s-anfis method in coronary artery disease,” "Malaya Journal ofMatematik (MJM) |
|
| [17] R. Razavi, A. Sabaghmoghadam, A. Bemani, A. Baghban, K.-w. Chau, and E. Salwana, “Application of anfis and lssvm strategies for estimating thermal conductivity enhancement of metal and metal oxide based nanofluids,” Engineering Applications of Computational Fluid Mechanics, vol. 13, no. 1, pp. 560–578, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Application of anfis and lssvm strategies forestimating thermal conductivity enhancement of metal and metal oxidebased nanofluids,” "Engineering Applications of Computational FluidMechanics |
|
| [18] G. K. Tairidis, N. Stojanovic, D. Stamenkovic, and G. E. Stavroulakis,“Neuro-fuzzy techniques and natural risk management. applications of anfis models in floods and comparison with other models,” in Natural Risk Management and Engineering, pp. 169–189, Springer, 2020 |
Sách, tạp chí |
| Tiêu đề: |
Neuro-fuzzy techniques and natural risk management. applications ofanfis models in floods and comparison with other models,” in "NaturalRisk Management and Engineering |
|
| [19] P. Sihag, N. Tiwari, and S. Ranjan, “Prediction of unsaturated hydraulic conductivity using adaptive neuro-fuzzy inference system (anfis),” ISH Journal of Hydraulic Engineering, vol. 25, no. 2, pp. 132–142, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Prediction of unsaturated hydraulicconductivity using adaptive neuro-fuzzy inference system (anfis),” "ISHJournal of Hydraulic Engineering |
|
| [20] A. Azad, M. Manoochehri, H. Kashi, S. Farzin, H. Karami, V. Nourani, and J. Shiri, “Comparative evaluation of intelligent algorithms to improve adaptive neuro-fuzzy inference system performance in precipitation modelling,” Journal of Hydrology, vol. 571, pp. 214–224, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Comparative evaluation of intelligent algorithms to improveadaptive neuro-fuzzy inference system performance in precipitationmodelling,” "Journal of Hydrology |
|
| [21] Y. K. Semero, J. Zhang, and D. Zheng, “Emd–pso–anfis-based hybrid approach for short-term load forecasting in microgrids,” IET Generation, Transmission & Distribution, vol. 14, no. 3, pp. 470–475, 2019 |
Sách, tạp chí |
| Tiêu đề: |
Emd–pso–anfis-based hybridapproach for short-term load forecasting in microgrids,” "IET Generation,Transmission & Distribution |
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