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Optimizing Mineralization of Bioprinted Bone Utilizing Type-2 Fuzzy Systems. BIOPHYSICA 2022. [DOI: 10.3390/biophysica2040035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Bioprinting is an emerging tissue engineering method used to generate cell-laden scaffolds with high spatial resolution. Bioprinting parameters, such as pressure, nozzle size, and speed, highly influence the quality of the bioprinted construct. Moreover, cell suspension density and other critical biological parameters directly impact the biological function. Therefore, an approximation model that can be used to find the optimal bioprinting parameter settings for bioprinted constructs is highly desirable. Here, we propose a type-2 fuzzy model to handle the uncertainty and imprecision in the approximation model. Specifically, we focus on the biological parameters, such as the culture period, that can be used to maximize the output value (mineralization volume 21.8 mm3 with the same culture period of 21 days). We have also implemented a type-1 fuzzy model and compared the results with the proposed type-2 fuzzy model using two levels of uncertainty. We hypothesize that the type-2 fuzzy model may be preferred in biological systems due to the inherent vagueness and imprecision of the input data. Our numerical results confirm this hypothesis. More specifically, the type-2 fuzzy model with a high uncertainty boundary (30%) is superior to type-1 and type-2 fuzzy systems with low uncertainty boundaries in the overall output approximation error for bone bioprinting inputs.
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Tahamipour-Z. SM, Akbarzadeh-T. MR, Baghbani F. Interval type-2 generalized fuzzy hyperbolic modelling and control of nonlinear systems. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.108859] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Indirect adaptive robust mixed H2/H∞ general type-2 fuzzy control of uncertain nonlinear systems. Appl Soft Comput 2018. [DOI: 10.1016/j.asoc.2018.06.049] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Chen D, Zhang Y, Li S. Zeroing neural-dynamics approach and its robust and rapid solution for parallel robot manipulators against superposition of multiple disturbances. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2017.09.032] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kalani H, Akbarzadeh-T MR, Akbarzadeh A, Kardan I. Interval-valued fuzzy derivatives and solution to interval-valued fuzzy differential equations. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2016. [DOI: 10.3233/ifs-162085] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Hadi Kalani
- Center of Excellence on Soft Computing and Intelligent Information Processing
- Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Mohammad-R. Akbarzadeh-T
- Center of Excellence on Soft Computing and Intelligent Information Processing
- Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Alireza Akbarzadeh
- Center of Excellence on Soft Computing and Intelligent Information Processing
- Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Iman Kardan
- Center of Excellence on Soft Computing and Intelligent Information Processing
- Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
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