In this paper, we propose two weighting techniques to improve performances of query expansion in biomedical document retrieval, especially when a short biomedical term in a query is expanded with its synonymous multi-word terms. When a query contains synonymous terms of different lengths, a traditional IR model highly ranks a document containing a longer terminology because a longer terminology...

Combining the concepts of balanced scorecard, fuzzy set theory and entropy, a systematic fuzzy multiple criteria decision making (MCDM) for airlines operating performance evaluation is proposed. A hierarchical structure is constructed through the concept of balance scorecard includes four perspectives: finance, customers, internal business processes, and learning and growth. The triangular fuzz...

Since 2012, China has been facing haze-fog weather conditions, and haze-fog pollution and PM2.5 have become hot topics. It is very necessary to evaluate and analyze the ecological status of the air environment of China, which is of great significance for environmental protection measures. In this study the current situation of haze-fog pollution in China was analyzed first, and the new Ambient ...

IT-outsourcing supplier evaluation and selection is a dynamic and complex multi-objective decision-making problem. In order to quantitatively evaluate IT-outsourcing suppliers, a supplier evaluation index system and comprehensive supplier evaluation model was established based on combination weighting and double base points method. In this model, qualitative sorting was obtained by the combinat...

Entropy weighting used in some soft subspace clustering algorithms is sensitive to the scaling parameter. In this paper, we propose a novel soft subspace clustering algorithm by using log-transformed distances in the objective function. The proposed algorithm allows users to choose a value of the scaling parameter easily because the entropy weighting in the proposed algorithm is less sensitive ...

In this work we argue towards a new self-learning engine able to suggest to the analyst good transformation methods and weighting schemas for a given data collection. This new generation of systems, named SELF-DATA (SELF-learning DAta TrAnsformation) relies on an engine capable of exploring different data weighting schemas (e.g., normalized term frequencies, logarithmic entropy) and data transf...

Abstract This paper proposes a multi-criteria decision-making method for new energy power station site selection based on fuzzy comprehensive analysis method. It is applied to make decisions the target location when selecting address building station, ensure reasonableness of corresponding weights each index, and give reasonable scientific suggestions decision-makers obtain expected results. We...