Results 81 to 90 of about 173,310,524 (306)
On fuzziness measures via Sugeno's integral
We introduce a notion of partial order for fuzzy sets in connection with their greater or smaller fuzziness. This allows us to give a simple basis to theory of fuzziness measures.
P. BENVENUTI +5 more
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ABSTRACT Diabetic stroke is characterized by a hyperglycemic and pro‐inflammatory microenvironment that exacerbates neurovascular dysfunction. However, the blood–brain barrier (BBB) remains a formidable obstacle, restricting the delivery of most therapeutic molecules.
Bixin Shen +7 more
wiley +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
Fuzziness measurement of fuzzy sets and its application in cluster validity analysis
To measure the fuzziness of fuzzy sets, this paper introduces a distance-based and a fuzzy entropybased measurements. Then these measurements are generalized to measure the fuzziness of fuzzy partition, namely partition fuzziness.
Li, J, Li, X, Gao, X, Tao, D
core
Multiversion Divergence Control of Time Fuzziness
Epsilon Serializability (ESR) has been proposed to manage and control inconsistency in extending the classic transaction processing that has been based on serializability.
Kun-lung Wu +3 more
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Herein, an ultrasound‐responsive BiO2‐X/siFn1 nanoplatform is developed to overcome anti‐PD‐1 resistance in hepatocellular carcinoma. Upon ultrasound irradiation, the platform downregulates fibronectin expression, while its sonothermal effect softens the dense extracellular matrix and activates antitumor immunity in the tumor microenvironment, thereby ...
Huimin Tian +10 more
wiley +1 more source
Entropy assessment for type-2 fuzziness
One of the sources of uncertainty, which perhaps is identified as parameter uncertainty, is the level of fuzziness in fuzzy system modeling. Given the optimum number of clusters and the cluster centers, one can explore Type-2 membership values that ...
TURKSEN, IB, Ozkan, I
core +1 more source
Entropy Measures of Probabilistic Linguistic Term Sets
The probabilistic linguistic term sets (PLTSs) are powerful to deal with the hesitant linguistic situation in which each provided linguistic term has a probability.
Hongbin Liu, Le Jiang, Zeshui Xu
doaj +1 more source
Clinical intramuscular thymus transplantation yields only short‐lived efficacy and marginal therapeutic benefits. Benefiting from the spleen's intrinsic strengths—rapid vascular perfusion, abundant developmental factors, and resident progenitors—the intrasplenic thymic grafts achieve robust thymic regeneration and substantial T‐cell reconstitution ...
Shaocong Wang +10 more
wiley +1 more source
Mathematical aspects of the theory of the measures of fuzziness
After recalling concept of fuzziness measure, we define some fuzziness measures though Sugeno's and Choquet's integral. In particular, for the so-called "homogeneous" fuzziness measures we prove two representation theorems by means of the above ...
VIVONA, Doretta
core

