A new method for decision making that uses the ordered weighted averaging (OWA) operator in the aggregation of the information is presented. It is used a concept that it is known in the literature as the index of maximum and minimum level (IMAM). This index is based on distance measures and other techniques that are useful for decision making. By using the OWA operator in the IMAM, we form a ne...

Reliability allocation is one of the most important factors to consider when determining the reliability and competitiveness of a product. The feasibility-of-objectives (FOO) technique has become the current standard for assessing reliability designs for military mechanical–electrical systems, whereas the average weighting allocation method is widely used for commercial applications. However, a...

A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decisio...

Fish consumption is on the increase due to in growth of global population. Therefore, taking advantage new methods such as marine aquaculture can be a reliable source for production fish world. It necessary allocate suitable sites from environmental, economic, and social points view decision-making process. In this study, order specify areas by Ordered Weighted Averaging (OWA) methodology Caspi...

BACKGROUND Over the past several decades researchers have produced substantial evidence of a social gradient in a variety of health outcomes, rising from systematic differences in income, education, employment conditions, and family dynamics within the population. Social gradients in health are measured using deprivation indices, which are typically constructed from aggregated socio-economic da...

Pseudo-Relevance Feedback (PRF) is a well-known method of query expansion for improving the performance of information retrieval systems. All the terms of PRF documents are not important for expanding the user query. Therefore selection of proper expansion term is very important for improving system performance. Individual query expansion terms selection methods have been widely investigated fo...

When building a predictive model for predicting clinical outcome using machine learning techniques, the developers are often interested in ranking features according to their ability. A commonly used approach obtain robust variable is apply recursive feature elimination (RFE) on multiple resamplings of training set and then aggregate results Borda count method. However, presence highly correlat...