The search for an animal model of systemic sclerosis (SSc) was tenaciously pursued by E.C. LeRoy. We studied several aspects of the tight skin mouse (Tsk) genetics and pathogenesis under his stimulating influence that contributed to a better understanding of the fibrotic scleroderma-like phenotype of this mouse. The identification of the fibrillin-1 mutation in the Tsk mouse and the characteriz...

When a fuzzy system is presented with an incomplete (or sparse) rule base, interpolation (FRI) offers useful mechanism to infer conclusions for unmatched observations. However, most existing FRI methodologies are established Mamdani inference models, but not Takagi–Sugeno–Kang (TSK) ones. This article presents novel approach computing interpolated outcomes TSK using only small number of neighbo...

It is shown that the Takagi-Sugeno-Kang (TSK) fuzzy inference mechanism is optimal with respect to a certain criterion that quantiies the controversy between the inference made, and the knowledge represented in the knowledge-base.

In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC). industry, high-cost measurement systems/sensors are necessary for better controlling monitoring, which can be replaced by a technique to reduce cost, size increase system reliability robustness. EKF used perform estim...

Cardiovascular strain and hyperthermia are thought to be important factors limiting exercise capacity in heat-stressed humans, however, the contribution of elevations in skin (Tsk) versus whole body temperatures on exercise capacity has not been characterized. To ascertain their relationships with exercise capacity, blood temperature (TB), oxygen uptake (V̇O2), brain perfusion (MCA Vmean), locom...

In regression problems, the use of TSK fuzzy systems is widely extended due to the precision of the obtained models. Moreover, the use of simple linear TSK models is a good choice in many real problems due to the easy understanding of the relationship between the output and input variables. In this paper we present FRULER, a new genetic fuzzy system for automatically learning accurate and simpl...