1. Abstract This paper proposes a methodology for sampling-based design optimization in the presence of interval variables. Assuming that an accurate surrogate model is available, the proposed method first searches the worst combination of interval variables for constraints when only interval variables are present or for probabilistic constraints when both interval and random variables are pres...

A total of 114 (31%) of 370 acute admissions to an inpatient unit over a one-year interval had at least one episode of seclusion or restraint. Four variables were significant predictors of seclusion and restraint. They were young age, diagnosis of borderline personality disorder, and two scores (irritability and total assets) on the Nurses Observation Scale for Inpatient Evaluation (NOSIE). Mor...

In this paper, we consider non-singular linear transformation of the inputand outputvariables in the Data Envelopment Analysis (DEA). The transformation is useful in selecting variables and dealing, for instance, with interval scale variables. We will develop general theory and show that the results are invariant due to non-singular linear transformation provided the concept of “dominance” is d...

the basic models of data envelopment analysis (dea) are designed in such a way that the values of input and output indicators should be identified and known in them. in other words, these models are not used to consider inaccurate, interval, fuzzy, judgment data. in this paper, the aim is to not only review the past researches about the efficiency of the units by interval data and represent the...

BACKGROUND Education-based inequalities in health are well established, but they are usually studied from an individual perspective. However, many individuals are part of a couple. We studied education-based health inequalities from the perspective of couples where indicators of health were measured by subjective health, anxiety and depression. METHODS A sample of 35,980 women and men (17,990...