Large databases are often organized by hand-labeled metadata—or criteria—which are expensive to collect. We can use unsupervised learning to model database variation, but these models are often high dimensional, complex to parameterize, or require expert knowledge. We learn low-dimensional continuous criteria via interactive ranking, so that the novice user need only describe the relative order...

the purpose of resent research is to analysis and compares performance evaluation models of selected investment companies in tehran stock exchange market in the field of their portfolio management. the duration of research was between years 2009-2014. statistical society the research is consisting of all active investment companies in in tehran stock exchange market which were 30 companies. vol...

This paper aims to holistically study hydrogen production options essential for a sustainable and carbon-free future. also outlines the benefits challenges of methods provide alternatives fossil fuels by meeting global energy demand net-zero targets. In this study, sixteen are selected sustainability investigation based on seven different criteria. The criteria in comparative evaluation cover v...

a basic assumption of madm methods such as saw and topsis is the statistical independence of criteria. violating this assumption would result in erroneous decisions. however, there are many cases in which criteria are dependent and based on this situation decision has to be made. in this paper, an approach based on the property of principal component analysis (pca) in producing independent vari...