We read with great interest the recent review in Anesthesiology, “Pulse Wave Analysis to Estimate Cardiac Output.”1 As military anesthesiologists, we are very excited about future potential allow advanced waveform analysis help better guide treatment when noninvasive monitors not available or impractical for clinical situation. Our group has investigated use of pulse wave applications, particul...

In this paper, a multi-objective optimization method is implemented by using of genetic algorithm techniques in order to determine optimum configuration of solar chimney power plant. The objective function which is simultaneously considered in the analysis is output power of the plant. Output power of the system is maximized. Design parameters of the considered plant include collector radius (R...

Abstract: In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Some researchers have proposed various fuzzy methods for dealing with the imprecise and ambiguous data in DEA by constructing linear programming (LP) models with ...

Conventional data envelopment analysis (DEA) methods assume that input and output variables are continuous. However, in many real managerial cases, some inputs and/or outputs can only take integer values. Simply rounding the performance targets to the nearest integers can lead to misleading solutions and efficiency evaluation. Addressing this kind of integer-valued data, the current paper propo...

In this study, the Input- Output Structural Decomposition Analysis (I-O SDA) is used to investigate the effects of technological structure changes on changes of total output in Sistan and Baluchestan Province during 2006-2011. The technological structure change is decomposed into two factors: intermediate input structure changes (input substitution) and change in direct backward linkage. The re...

F€are and Grosskopf (2004) address the approach of Seiford and Zhu (2002) where undesirable input and output measures are treated in data envelopment analysis (DEA). One key feature of Seiford and Zhu s (2002) approach is that the bad outputs are treated as outputs in DEA model but are reduced when DEA efficiency is evaluated. F€are and Grosskopf (2004) suggest an alternative approach in treati...