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 article presents the application of PIvot Pairwise RElative Criteria Importance Assessment (PIRECIA) method for ranking alternatives. PIPRECIA is primarily intended determining significance (weight) criteria, but it can also be used completely solving decision-making problems. So far, this has not been multiple criteria problems, which why evaluation and process evaluating alternatives usin...

The candidate selection process involves thoughtful empirical decisions which determine the best fit from a pool of contesting candidates. A wide range of criteria is used to assess the candidates. This paper utilizes an improved PROMETHEE II (Preference Ranking Organization Method for Enrichment Evaluation) methodology which efficiently establishes its applicability and potentiality to solve s...

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There are many different methods for analysis of multiple criteria decision-making problems. Considering the problems evaluation alternatives, a typical situation is that application various methods leads to results, i.e. each method generates ranking alternatives. A similar situation occurs in case certain number individual decision-makers participates analysis of problem. The paper contai...

This paper presents a novel approach for extracting high-quality pairs as chat knowledge from online discussion forums so as to efficiently support the construction of a chatbot for a certain domain. Given a forum, the high-quality pairs are extracted using a cascaded framework. First, the replies logically relevant to the thread title of the root mes...

Data envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009...