Results 71 to 80 of about 30,346 (250)
Fuzzy heterogeneous neural networks for signal forecasting [PDF]
, 1998 Fuzzy heterogeneous neural networks are recently introduced models based on neurons accepting heterogeneous inputs (i.e. mixtures of numerical and non-numerical information possibly with missing data) with either crisp or imprecise character, which can ...
Alquézar Mancho, René +2 more
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Microengineered Gradient Hydrogels for Mechanobiology
Advanced Healthcare Materials, EarlyView.Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source
A new fuzzy set merging technique using inclusion-based fuzzy clustering [PDF]
, 2008 This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes.
Kaymak, U, Nefti-Meziani, S, Oussalah, M
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Data Analysis Approach for Incomplete Interval-Valued Intuitionistic Fuzzy Soft Sets [PDF]
Symmetry, 2020 The model of interval-valued intuitionistic fuzzy soft sets is a novel excellent solution which can manage the uncertainty and fuzziness of data. However, when we apply this model into practical applications, it is an indisputable fact that there are some missing data in many cases for a variety of reasons.
Hongwu Qin +5 more
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Advanced Healthcare Materials, EarlyView.A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen +9 more
wiley +1 more source
Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting [PDF]
Neutrosophic Sets and SystemsHypersoft sets (HSSs) were initiated as an extension of soft sets (SSs) to address real-life scenarios involving multiple disjoint sets with di erent traits.
Mamika Ujianita Romdhini +3 more
doaj +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
Advanced Materials, EarlyView.We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Arab Journal of Basic and Applied Sciences, 2021 In any organization, the capability, knowledge and skills play a significant role in success of an employee. For instant, in hospital management, the performance evaluation of an employee is mainly based on qualitative in nature.
Bizuwork Derebew +3 more
doaj +1 more source
An intelligent system for risk classification of stock investment projects [PDF]
, 2003 The proposed paper demonstrates that a hybrid fuzzy neural network can serve as a risk classifier of stock investment projects. The training algorithm for the regular part of the network is based on bidirectional incremental evolution proving more ...
Kalganova, T, Khan, T, Serguieva, A
core
A Note on Interval-Valued Fuzzy Soft Sets [PDF]
Journal of Korean Institute of Intelligent Systems, 2008 본 논문은 부정확한 null interval-valued fuzzy soft sets 와 absolute interval-valued fuzzy soft sets 개념의 오류를 지적하였으며 interval-valued fuzzy soft sets를 위해 새롭게 정의된 개념을 소개하며 이를 이용한 기본적인 성질을 조사한다.
openaire +1 more source