In many real world applications (even in banking), imprecise data is a matter of fact. However, classic database management systems provide little if any help in the management of imprecise data. We are applying methods from interval arithmetic, epsilon serializability, and other related areas to help the application designers in the management of naturally imprecise data. Our approach includes...

Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. In this paper, we study the measurement of DMU performances in DEA in situations where input and/or output values are given as imprecise data. By imprecise data we mean situations where we only know that the actual val...

Nowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpful for the evaluation and selection of the sustainable supplier and has the ability to use a variety of data types is data envel...

This study aims to assess and rank the service quality of healthcare system utilizing a Fuzzy Analytical Hierarchical Process (Fuzzy AHP) Grey Relational Analysis GRA) technique. In this study, six primary characteristics quality, comprising Tangibles (A), Healthcare Staff (B), Responsiveness (C), Relationships (D), Support Service (E), Accessibility (F), are examined through case 20 private pu...

The rapid production of digital information has made the task of locating relevant information increasingly difficult. Keyword search alleviates this difficulty by retrieving documents containing keywords of interest, but suffers from issues such as ambiguity and synonymity. Semantic search resolves these issues, but is limited by the quality of semantic annotations that are likely to be imprec...

Most information retrieval systems on the Internet try to supply the ‘best’ documents to a certain query by ranking the complete hit list with various algorithms. But this is only appropriate if the hit list contain relevant documents which can be positioned on the top. In the case of a small or empty hit list no ranking can improve the result and the user must reformulate the query again and a...