Abstract: We investigate the decision making problems with hesitant fuzzy information. Firstly, some operational laws of hesitant fuzzy elements and score function of hesitant fuzzy elements are introduced. Then, we have developed two induced generalized hesitant fuzzy aggregation operators: induced generalized hesitant fuzzy choquet ordered averaging (IGHFCOA) operator and induced generalized hesitant fuzzy choquet ordered geometric (IGHFCOG) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the IGHFCOA and IGHFCOG operators to…decision making problems for five kinds of Protein's nutritional assessment with hesitant fuzzy information. Finally an illustrative example has been given to show the developed method.
Show more
Abstract: An analysis system of informational uncertainties for accidental risk assessment of chemicals is introduced. Statistical test methods and fuzzy sets method can do the quantitative analysis of the input parameters. The uncertainties of the model can be used by quantitative compared method for the leakage accidents of chemicals. The estimation of the leaking time is important for discussing accidental source term. The uncertain analyses of the release accident for pipeline gas (CO) liquid chlorine and liquid propane gas (LPG) have been discussed.
Abstract: Larynx has a complex structure with joints and multiple functions. In order to study the artificial larynx and artificial auricle scaffold, a three-dimensional digital model of laryngeal joint is established in this paper using MIMICS with its biomechanical properties analyzed and calculated by using the finite element method. This model is based on the CT scanned images of 281 layers with an interlamellar spacing of 1.25 mm. The obtained data are denoised, segmented and smoothed before being loaded into MIMICS. By further optimizations, an accurate and complete 3D model can be obtained. Subsequently, a 3D FEM of the normal larynx…joint is performed which allows observations from any dimensions and angles. Compared with natural laryngeal joint, this model has good geometric similarity and mechanically similar throat voicing functions.
Show more
Abstract: The existing negative selection algorithms can not improve their detection performance by human intervention during the testing process. This paper proposes a negative selection algorithm with human-in-the-loop for anomaly detection. It uses self-sample clusters to train detectors with a nonrandom strategy. Its detectors and self-sample clusters fully cover state space without overlapping each other. It locally adjusts detectors and self-sample clusters with human intervention to improve its detection performance during the testing process. Experiments were performed on two synthetic datasets and the Iris dataset from the UCI repository to assess its performance. The results show that it outperforms the other…anomaly detection methods in most cases.
Show more
Abstract: Intuitionistic fuzzy numbers are very suitable to be used for depicting uncertain or fuzzy information. Motivated by the ideal of heavy aggregation operator, in this paper, we develop some heavy aggregation operators for aggregating intuitionistic fuzzy information, and then apply them to develop some models for decision making problems. Moreover, we shall extend these aggregation operators and decision making approaches to interval-valued intuitionistic fuzzy environments, in which the input data take the form of interval-valued intuitionistic fuzzy numbers. Finally, we give an illustrative example for strategic decision making problems to verify the developed approach and to demonstrate its feasibility and…practicality.
Show more
Keywords: Decision making, intuitionistic fuzzy numbers, interval-valued intuitionistic fuzzy numbers, heavy aggregation operators, intuitionistic fuzzy heavy aggregation operators, strategic decision making
Abstract: Solar energy is a kind of pollution-free and inexhaustible energy. Photovoltaic power generation is an effective way to use solar energy. The output characteristics of photovoltaic cell are easily affected by illumination intensity, temperature and other factors, so the maximum power point tracking of photovoltaic power generation can effectively improve the power of the system. Firstly, a photovoltaic cell model is established to analyze the non-linear electrical characteristics under different solar intensity and working temperature. Secondly, the MPPT control strategies based on perturbance observation method and conductance increment-fuzzy control method are respectively studied, and the system simulation model including photovoltaic…module, boost circuit, MPPT control module, PWM module and so on is built in MATLAB/Simulink. Finally, the operation effects of different MPPT control strategies are analyzed and compared by means of experiments in different scenarios. The conductance increment-fuzzy control method improves the power generation efficiency, reduces the system oscillation and enhances the working stability.
Show more
Keywords: Photovoltaic cell, perturbance and observation, conductance increment, fuzzy control, maximum power point tracking, MATLAB/Simulink
Abstract: BACKGROUND: Advances in bone tissue engineering offer novel options for the regeneration of bone tissue. In the current clinical treatment, the method of accelerating bone tissue regeneration rate by promoting early angiogenesis has been widely accepted. OBJECTIVE: This study aimed to develop a long-acting slow-release system using the pro-angiogenic drug tetramethylpyrazine (TMPZ) and pro-osteogenic drug icariin (ICA), which can be administered locally to achieve the sequential release of TMPZ and ICA for better clinically efficiency in the treatment of bone defects. METHODS: This study aimed to prepare microspheres with a core-shell structure using two polymers, poly lactic-co-glycolic acid and silk…fibroin, by coaxial electrostatic spraying. Based on the therapeutic model for bone defects, the pro-angiogenic drug TMPZ and pro-osteogenic drug ICA were encapsulated in the shell and core layers of the microspheres, respectively. Subsequently, TMPZ and ICA were released sequentially to promote early angiogenesis and late osteogenesis, respectively, at the site of the bone defect. The optimal preparation parameters for preparing the drug-loaded microspheres were identified using the univariate controlled variable method. Additionally, microsphere morphology and core-shell structure, such as physical properties, drug-loading properties, in vitro degradation and drug release patterns, were characterised using scanning electron microscope and laser scanning confocal microscopy. RESULTS: The microspheres prepared in this study were well-defined and had a core-shell structure. The hydrophilicity of the drug-loaded microspheres changed compared to the no-load microspheres. Furthermore, in vitro results indicated that the drug-loaded microspheres with high encapsulation and loading efficiencies exhibited good biodegradability and cytocompatibility, slowly releasing the drug for up to three months. CONCLUSION: The development of the drug delivery system with a dual-step release mechanism has potential clinical applications and implications in the treatment of bone defects.
Show more
Abstract: In this study, self-assembly regenerated silk fibroin (RSF) nanofibers were prepared and observed by Atomic Force Microscope (AFM). Then RSF films containing nanospheres and nanofibers were prepared and dissolved with poly (L-lactide-co-ε -caprolactone) (PLCL) with a blending ratio of 30/70 in hexafluoro-2-propanol (HFIP). In order to determine whether different nanostructures in the solution influence the morphological, structural, and mechanical properties of the final electrospun materials, flat membranes were prepared and characterized by Scanning Electron Microscope (SEM), Fourier Transform Infrared (FT-IR), and mechanical testing. The secondary structure of as-spun materials with RSF nanofibers were not changed, however, the diameter of electrospun…fibers decreased and tensile strength and elongation at breaks increased. Electrospun materials with RSF nanofibers have the potential to be used for skin, cartilage, and blood vessels because of their biocompatibility and improved mechanical properties.
Show more
Abstract: A novel kernel regression regularized adaptive sparse (KR-RAS) model is presented in this paper for multi-frame super-resolution (SR) reconstruction, by incorporating KR estimation and the clustering-based dictionary learning into a unified sparse reconstruction framework. The basic idea behind our model is to exploit both the global structural self-similarity throughout all frames as prior constraints, and sparsity constraints, to regularize the ill-posed reconstruction for better estimation. In the proposed method, normalized steering kernels are introduced as features for structural clustering of image patches, to aggregate more structurally similar patches for dictionary learning. Furthermore, KR estimation is extended from local neighborhood to…the global neighborhood that is constituted by similar patches from any position of all frames, so more accurate regression estimation of pixel values is possible. Extensive comparisons of experimental results on real video sequences show that the performance of the proposed method outperforms the state-of-the-art methods both subjectively and objectively in most cases.
Show more