A Fuzzy Inference System (FIS) typically implements a function f : R → T, where the domain set R denotes the totally-ordered set of real numbers, whereas the range set T may be either T = R (i.e. FIS regressor) or T may be a set of labels (i.e. FIS classifier), etc. This work considers the complete lattice (F,1) of Type-1 Intervals’ Numbers, or INs for short, where an IN F can be interpreted as...

BACKGROUND AND PURPOSE The Barthel Index (BI) is a 10-item measure of activities of daily living which is frequently used in clinical practice and as a trial outcome measure in stroke. We sought to describe the reliability (interobserver variability) of standard BI in stroke cohorts using systematic review and meta-analysis of published studies. METHODS Two assessors independently searched va...

In this manuscript, we introduce  a new class of fuzzy problems, namely ``fuzzy inclusion linear systems" and   propose a fuzzy solution set for it. Then, we present a theoretical discussion about the relationship between  the fuzzy solution set of a  fuzzy inclusion linear system and the algebraic solution of a fuzzy linear system. New necessary and sufficient conditions are derived for obtain...

This paper provides direct evidence in support of the Long Run Risk model mechanism. We construct a measure to capture the persistent component of consumption growth using investor expectations of growth prospects contained in the news. Consistent with the predictions of the Long Run Risk model, this measure explains up to 25 percent of cumulative future consumption growth over long horizons. F...

We prove upper and lower estimates on the measure of an inclusion D in a conductor Ω in terms of one pair of current and potential boundary measurements. The growth rates of such estimates are essentially best possible.

The tissue inclusion parameter estimation method is proposed to measure the stiffness as well as geometric parameters. The estimation is performed based on the tactile data obtained at the surface of the tissue using an optical tactile sensation imaging system (TSIS). A forward algorithm is designed to comprehensively predict the tactile data based on the mechanical properties of tissue inclusi...

Classi cation is one of major tasks in case-based reasoning(CBR) and many studies have been done for analyzing properties of case-based classi cation [1, 14, 10, 15, 12, 9, 13, 7]. However, these studies only consider numerical similarity measures whereas there are other kinds of similarity measure for di erent tasks. Among these measures, HYPO system [2, 3] in a legal domain uses a similarity ...

The tissue inclusion parameter estimation method is proposed to measure the stiffness as well as geometric parameters. The estimation is performed based on the elasticity image obtained at the surface of the tissue using an optical based elasticity imaging sensor. A forward algorithm is designed to comprehensively predict the elasticity image based on the mechanical properties of tissue inclusi...