{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T12:32:09Z","timestamp":1782995529083,"version":"3.54.5"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Intell Syst"],"DOI":"10.1007\/s44196-025-00938-w","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T04:48:45Z","timestamp":1754542125000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Fuzzy Neural Network Approach for Nanomaterials Analysis in Nanoelectronics Under Fuzzy Credibility Information"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8784-3743","authenticated-orcid":false,"given":"Ihsan","family":"Ullah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7474-5115","authenticated-orcid":false,"given":"Saleem","family":"Abdullah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marya","family":"Nawaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hameed Gul","family":"Ahmadzai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"issue":"1","key":"938_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.31181\/sdmap2120258","volume":"2","author":"S Kousar","year":"2025","unstructured":"Kousar, S., Ansar, A., Kausar, N., Freen, G.: Multi-criteria decision-making for smog mitigation: a comprehensive analysis of health, economic, and ecological impacts. Spectr. Dec. Mak. Appl. 2(1), 53\u201367 (2025)","journal-title":"Spectr. Dec. Mak. Appl."},{"issue":"1","key":"938_CR2","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1108\/IJPPM-09-2023-0464","volume":"74","author":"I Oubrahim","year":"2025","unstructured":"Oubrahim, I., Sefiani, N.: An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective. Int. J. Product. Perform. Manag. 74(1), 304\u2013339 (2025)","journal-title":"Int. J. Product. Perform. Manag."},{"issue":"1","key":"938_CR3","first-page":"93","volume":"12","author":"IHY Yim","year":"2025","unstructured":"Yim, I.H.Y., Su, J.: Artificial intelligence (AI) learning tools in K-12 education: A scoping review. J. Comput. Edu. 12(1), 93\u2013131 (2025)","journal-title":"J. Comput. Edu."},{"key":"938_CR4","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L Zadeh","year":"1965","unstructured":"Zadeh, L.: Fuzzy sets. Inform Control 8, 338\u2013353 (1965)","journal-title":"Inform Control"},{"key":"938_CR5","first-page":"1","volume":"20","author":"K Atanassov","year":"2016","unstructured":"Atanassov, K.: Intuitionistic fuzzy sets. Int. J. Bioautomation 20, 1 (2016)","journal-title":"Int. J. Bioautomation"},{"key":"938_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40314-021-01539-x","volume":"40","author":"J Ye","year":"2021","unstructured":"Ye, J., Song, J., Du, S., Yong, R.: Weighted aggregation operators of fuzzy credibility numbers and their decision-making approach for slope design schemes. Comput. Appl. Math. 40, 1\u201314 (2021)","journal-title":"Comput. Appl. Math."},{"issue":"5","key":"938_CR7","doi-asserted-by":"publisher","first-page":"940","DOI":"10.3390\/sym14050940","volume":"14","author":"A Hussain","year":"2022","unstructured":"Hussain, A., Ullah, K., Alshahrani, M.N., Yang, M.S., Pamucar, D.: Novel Aczel-Alsina operators for Pythagorean fuzzy sets with application in multi-attribute decision making. Symmetry 14(5), 940 (2022)","journal-title":"Symmetry"},{"issue":"1","key":"938_CR8","doi-asserted-by":"publisher","first-page":"6268613","DOI":"10.1155\/2023\/6268613","volume":"2023","author":"A Hussain","year":"2023","unstructured":"Hussain, A., Ullah, K., Pamucar, D., Haleemzai, I., Tati\u0107, D.: Assessment of solar panel using multiattribute decision-making approach based on intuitionistic fuzzy Aczel Alsina heronian mean operator. Int. J. Intell. Syst. 2023(1), 6268613 (2023)","journal-title":"Int. J. Intell. Syst."},{"key":"938_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109085","volume":"137","author":"A Hussain","year":"2024","unstructured":"Hussain, A., Ullah, K., Pamucar, D., Simic, V.: Intuitionistic fuzzy Sugeno-Weber decision framework for sustainable digital security assessment. Eng. Appl. Artif. Intell. 137, 109085 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"938_CR10","doi-asserted-by":"publisher","first-page":"34575","DOI":"10.1109\/ACCESS.2023.3244612","volume":"11","author":"A Hussain","year":"2023","unstructured":"Hussain, A., Ullah, K., Mubasher, M., Senapati, T., Moslem, S.: Interval-valued Pythagorean fuzzy information aggregation based on Aczel-Alsina operations and their application in multiple attribute decision making. Ieee Access 11, 34575\u201334594 (2023)","journal-title":"Ieee Access"},{"key":"938_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109342","volume":"138","author":"S Yin","year":"2024","unstructured":"Yin, S., Zhao, Y., Hussain, A., Ullah, K.: Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with Pythagorean fuzzy information. Eng. Appl. Artif. Intell. 138, 109342 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"938_CR12","doi-asserted-by":"publisher","first-page":"5773","DOI":"10.1016\/j.egyr.2025.05.011","volume":"13","author":"M Rukhsar","year":"2025","unstructured":"Rukhsar, M., Hussain, A., Ullah, K., Moslem, S., Senapati, T.: Intelligent decision analysis for green supplier selection with multiple attributes using circular intuitionistic fuzzy information aggregation and frank triangular norms. Energy Rep. 13, 5773\u20135791 (2025)","journal-title":"Energy Rep."},{"key":"938_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2024.105842","volume":"116","author":"A Hussain","year":"2024","unstructured":"Hussain, A., Yin, S., Ullah, K., Waqas, M., Senapati, T., Eszterg\u00e1r-Kiss, D., Moslem, S.: Enhancing renewable energy evaluation: utilizing complex picture fuzzy frank aggregation operators in multi-attribute group decision-making. Sustain. Cities Soc. 116, 105842 (2024)","journal-title":"Sustain. Cities Soc."},{"issue":"1","key":"938_CR14","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s41066-023-00442-6","volume":"9","author":"A Hussain","year":"2024","unstructured":"Hussain, A., Ullah, K., Garg, H., Mahmood, T.: A novel multi-attribute decision-making approach based on T-spherical fuzzy Aczel Alsina Heronian mean operators. Granul. Comput. 9(1), 21 (2024)","journal-title":"Granul. Comput."},{"issue":"1","key":"938_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s44379-025-00016-0","volume":"1","author":"C Meng","year":"2025","unstructured":"Meng, C., Griesemer, S., Cao, D., Seo, S., Liu, Y.: When physics meets machine learning: a survey of physics-informed machine learning. Mach. Learn. Comput. Sci. Eng. 1(1), 1\u201323 (2025)","journal-title":"Mach. Learn. Comput. Sci. Eng."},{"key":"938_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2024.105570","volume":"118","author":"YS Kim","year":"2025","unstructured":"Kim, Y.S., Kim, M.K., Fu, N., Liu, J., Wang, J., Srebric, J.: Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models. Sustain. Cities Soc. 118, 105570 (2025)","journal-title":"Sustain. Cities Soc."},{"issue":"3","key":"938_CR17","doi-asserted-by":"publisher","first-page":"3713","DOI":"10.1007\/s11042-022-13428-4","volume":"82","author":"D Khurana","year":"2023","unstructured":"Khurana, D., Koli, A., Khatter, K., Singh, S.: Natural language processing: state of the art, current trends and challenges. Multimed. Tools Appl. 82(3), 3713\u20133744 (2023)","journal-title":"Multimed. Tools Appl."},{"issue":"9","key":"938_CR18","doi-asserted-by":"publisher","first-page":"5521","DOI":"10.3390\/app13095521","volume":"13","author":"J Maur\u00edcio","year":"2023","unstructured":"Maur\u00edcio, J., Domingues, I., Bernardino, J.: Comparing vision transformers and convolutional neural networks for image classification: a literature review. Appl. Sci. 13(9), 5521 (2023)","journal-title":"Appl. Sci."},{"issue":"8","key":"938_CR19","doi-asserted-by":"publisher","first-page":"23367","DOI":"10.1007\/s11042-023-16438-y","volume":"83","author":"AS Dhanjal","year":"2024","unstructured":"Dhanjal, A.S., Singh, W.: A comprehensive survey on automatic speech recognition using neural networks. Multimed. Tools Appl. 83(8), 23367\u201323412 (2024)","journal-title":"Multimed. Tools Appl."},{"key":"938_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.measen.2022.100613","volume":"25","author":"S Muruganandam","year":"2023","unstructured":"Muruganandam, S., Joshi, R., Suresh, P., Balakrishna, N., Kishore, K.H., Manikanthan, S.V.: A deep learning based feed forward artificial neural network to predict the K-barriers for intrusion detection using a wireless sensor network. Measurement Sens. 25, 100613 (2023)","journal-title":"Measurement Sens."},{"issue":"6","key":"938_CR21","doi-asserted-by":"publisher","first-page":"18497","DOI":"10.1007\/s11042-023-16159-2","volume":"83","author":"S Verma","year":"2024","unstructured":"Verma, S., Chug, A., Singh, A.P.: Revisiting activation functions: empirical evaluation for image understanding and classification. Multimed. Tools Appl. 83(6), 18497\u201318536 (2024)","journal-title":"Multimed. Tools Appl."},{"key":"938_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2023.101029","volume":"18","author":"B Singh","year":"2023","unstructured":"Singh, B., Patel, S., Vijayvargiya, A., Kumar, R.: Analyzing the impact of activation functions on the performance of the data-driven gait model. Results Eng. 18, 101029 (2023)","journal-title":"Results Eng."},{"issue":"3","key":"938_CR23","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.icte.2021.12.012","volume":"9","author":"I Jahan","year":"2023","unstructured":"Jahan, I., Ahmed, M.F., Ali, M.O., Jang, Y.M.: Self-gated rectified linear unit for performance improvement of deep neural networks. ICT Express 9(3), 320\u2013325 (2023)","journal-title":"ICT Express"},{"issue":"22","key":"938_CR24","doi-asserted-by":"publisher","first-page":"61789","DOI":"10.1007\/s11042-023-15766-3","volume":"83","author":"S Ankalaki","year":"2024","unstructured":"Ankalaki, S., Thippeswamy, M.N.: A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection. Multimed. Tools Appl. 83(22), 61789\u201361819 (2024)","journal-title":"Multimed. Tools Appl."},{"issue":"1","key":"938_CR25","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/s11227-023-05441-7","volume":"80","author":"RH Emanuel","year":"2024","unstructured":"Emanuel, R.H., Docherty, P.D., Lunt, H., M\u00f6ller, K.: The effect of activation functions on accuracy, convergence speed, and misclassification confidence in CNN text classification: a comprehensive exploration. J. Supercomput. 80(1), 292\u2013312 (2024)","journal-title":"J. Supercomput."},{"issue":"8","key":"938_CR26","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1002\/nano.202300038","volume":"4","author":"B Mekuye","year":"2023","unstructured":"Mekuye, B., Abera, B.: Nanomaterials: An overview of synthesis, classification, characterization, and applications. Nano select 4(8), 486\u2013501 (2023)","journal-title":"Nano select"},{"issue":"2","key":"938_CR27","doi-asserted-by":"publisher","first-page":"661","DOI":"10.3390\/molecules28020661","volume":"28","author":"S Malik","year":"2023","unstructured":"Malik, S., Muhammad, K., Waheed, Y.: Nanotechnology: a revolution in modern industry. Molecules 28(2), 661 (2023)","journal-title":"Molecules"},{"issue":"12","key":"938_CR28","doi-asserted-by":"publisher","first-page":"2300007","DOI":"10.1002\/adem.202300007","volume":"25","author":"M Karimzadehkhouei","year":"2023","unstructured":"Karimzadehkhouei, M., Ali, B., Jedari Ghourichaei, M., Alaca, B.E.: Silicon nanowires driving miniaturization of microelectromechanical systems physical sensors: A review. Adv. Eng. Mater. 25(12), 2300007 (2023)","journal-title":"Adv. Eng. Mater."},{"issue":"3","key":"938_CR29","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1007\/s11837-022-05505-8","volume":"75","author":"AR Urade","year":"2023","unstructured":"Urade, A.R., Lahiri, I., Suresh, K.S.: Graphene properties, synthesis and applications: a review. Jom 75(3), 614\u2013630 (2023)","journal-title":"Jom"},{"issue":"1","key":"938_CR30","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s11671-023-03789-6","volume":"18","author":"EM Alosime","year":"2023","unstructured":"Alosime, E.M.: A review on surface functionalization of carbon nanotubes: methods and applications. Discover Nano 18(1), 12 (2023)","journal-title":"Discover Nano"},{"issue":"5","key":"938_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2023.106671","volume":"26","author":"P Kumbhakar","year":"2023","unstructured":"Kumbhakar, P., Jayan, J.S., Madhavikutty, A.S., Sreeram, P.R., Saritha, A., Ito, T., Tiwary, C.S.: Prospective applications of two-dimensional materials beyond laboratory frontiers: A review. IScience 26(5), 106671 (2023)","journal-title":"IScience"},{"issue":"6","key":"938_CR32","doi-asserted-by":"publisher","first-page":"2772","DOI":"10.3390\/molecules28062772","volume":"28","author":"MG Giordano","year":"2023","unstructured":"Giordano, M.G., Seganti, G., Bartoli, M., Tagliaferro, A.: An overview on carbon quantum dots optical and chemical features. Molecules 28(6), 2772 (2023)","journal-title":"Molecules"},{"issue":"8","key":"938_CR33","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s10462-024-10826-y","volume":"57","author":"S Abdullah","year":"2024","unstructured":"Abdullah, S., Ullah, I., Ghani, F.: Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network. Artif. Intell. Rev. 57(8), 191 (2024)","journal-title":"Artif. Intell. Rev."},{"key":"938_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108958","volume":"136","author":"SS Abosuliman","year":"2024","unstructured":"Abosuliman, S.S., Abdullah, S., Ullah, I.: Using a fuzzy credibility neural network to select nanomaterials for nanosensors. Eng. Appl. Artif. Intell. 136, 108958 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"938_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107581","volume":"129","author":"Y Zhang","year":"2024","unstructured":"Zhang, Y., Abdullah, S., Ullah, I., Ghani, F.: A new approach to neural network via double hierarchy linguistic information: application in robot selection. Eng. Appl. Artif. Intell. 129, 107581 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"938_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.109606","volume":"186","author":"M Nawaz","year":"2025","unstructured":"Nawaz, M., Abdullah, S., Ullah, I.: An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information. Comput. Biol. Med. 186, 109606 (2025)","journal-title":"Comput. Biol. Med."},{"key":"938_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.110941","volume":"154","author":"I Ullah","year":"2025","unstructured":"Ullah, I., Abdullah, S., Nawaz, M.: A novel framework for selection of renewable energy source based on three-way decision making model under Pythagorean fuzzy credibility numbers. Eng. Appl. Artif. Intell. 154, 110941 (2025)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"4","key":"938_CR38","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s40314-021-01502-w","volume":"40","author":"T Senapati","year":"2021","unstructured":"Senapati, T., Chen, G.: Some novel interval-valued Pythagorean fuzzy aggregation operator based on Hamacher triangular norms and their application in MADM issues. Comput. Appl. Math. 40(4), 109 (2021)","journal-title":"Comput. Appl. Math."}],"container-title":["International Journal of Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-025-00938-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44196-025-00938-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-025-00938-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T22:28:09Z","timestamp":1757370489000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44196-025-00938-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"references-count":38,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["938"],"URL":"https:\/\/doi.org\/10.1007\/s44196-025-00938-w","relation":{},"ISSN":["1875-6883"],"issn-type":[{"value":"1875-6883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]},"assertion":[{"value":"2 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This research does not involve human participants, human data, or animals. Therefore, the Ethics and Consent to Participate declarations are not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval and consent to participate"}}],"article-number":"205"}}