This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes f...

Fluency rankers are used in modern sentence generation systems to pick sentences that are not just grammatical, but also fluent. It has been shown that feature-based models, such as maximum entropy models, work well for this task. Since maximum entropy models allow for incorporation of arbitrary real-valued features, it is often attractive to create very general feature templates, that create a...

We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data. The experiments were compared to two other algorithms with the same results, but with a very short computation t...

This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes f...

Feature selection is an important problem in machine learning since it helps reduce the number of features a learner has to examine and reduce errors from irrelevant features. Even though feature selection is well studied in the area of classification, this is not the case for ranking algorithms. In this paper, we propose a feature selection technique for ranking based on the wrapper approach u...

In this paper we address the problem of nding the simulated system with the best (maximum or minimum) expected performance when the number of alternatives is nite, but large enough that ranking-and-selection procedures may require too much computation to be practical. Our approach is to use the data provided by the rst stage of sampling in a ranking-and-selection procedure to screen out alterna...

Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the "we...

We propose a method for selecting and ranking translation candidates using as, input disambiguated source language expressions with thesaurus-compatible senses. This procedure provides the means for choosing contextually appropriate translations automatically once the sense of the expression in the source language is known. Results can be stored to create a database where bilingual dictionary e...

Over the past decade there has been an explosion in the amount of genomic data available to biomedical researchers due to advances in biotechnology. For example, using gene microarrays, it is now possible to probe a person’s gene expression profile over the more than 30,000 genes of the human genome. Signals extracted from gene microarray experiments can be linked to genetic factors underlying ...

We have proposed a novel personalized ranking system for amateur photos. While the features used in our system are similar to previous works, new features such as texture, RGB color, portrait (through face detection), and black-and-white are included for individual preferences. Although automatically ranking award-wining professional photos may not be a sensible pursuit, such an approach may be...