one of the most applicable methods to measure efficiency is using data envelopment analysis (dea) models. dea measures efficiency for some homogenous units (units with the same inputs and outputs) and determines efficient and non-efficient units. since the evaluated efficiency for each unit is a relative value, it is clear that each unit tries to improve its performance and preserve (or even im...

Data envelopment analysis (DEA) is a mathematical programming method for calculatingefficiency of decision making units (DMU). In calculating the efficiency score of unitsthrough DEA we may come up with some efficient units. But the question is among theseefficient units which of them is better. As we know, it is possible to rank inefficient unitsthrough efficiency score; however, for ranking e...

today, the country's banking system, according to the discussions to join the world trade organization is encountered with new challenges such as entry of foreign banks, emerging private banks and increasing the activities of financial and credit institutions. therefore, in order to survive and compete in this dynamic environment banking organizations require paying more attention to human...

This paper regards the query keywords selection problem in source retrieval as learning a ranking model to choose the method of keywords extraction over suspicious document segments. Four basic methods are used in our ranking function: BM25, TFIDF, TF and EW. Then, a ranking model based on Ranking SVM is proposed to rank the query keywords group which is contributed to get the higher evaluation...

Before the Holy Grail of replacing human observers with scanning systems and cognitive models for printing quality evaluations is found, subjective measurements will have to be used. Among various subjective test methods, the ranking test is a straightforward, convenient, and theoretically sound test for printing quality evaluation. However, the ranking procedure involves a process that demands...

Ranking is a central task of many Information Retrieval (IR) problems, particularly challenging in the case of large-scale Web collections where it involves effectiveness requirements and efficiency constraints that are not common to other ranking-based applications. This paper describes QuickRank, a C++ suite of efficient and effective Learning to Rank (LtR) algorithms that allows high-quality...

Today, all countries publish many scientific studies in order to make progress a sense and plan for the future. Many criteria, such as impact factor, citation count, article score, have been developed measure, compare, rank quality of journals which these are published. These criteria used purposes academic promotion, hiring, publication support, project scholarships. It is extremely important ...

Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction...