the basic models of data envelopment analysis (dea) are designed in such a way that the values of input and output indicators should be identified and known in them. in other words, these models are not used to consider inaccurate, interval, fuzzy, judgment data. in this paper, the aim is to not only review the past researches about the efficiency of the units by interval data and represent the...

in the classical data envelopment analysis (dea) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. in recent years, there are few researches on handling missing data. this paper suggests a new interval based approach to apply missing data, which is the modified version of kousmanen (2009) approach. first, the prop...

In this paper, we formulate a class of colored range query problems to model the multi-dimensional range queries in the presence of categorical information. By applying appropriate sketching techniques on our framework, we obtained efficient data structures that provide approximate solutions to these problems. In addition, the framework can be employed to attack other related problems by findin...

We consider the problem of preprocessing N points in 2D, each endowed with a priority, to answer the following queries: given a axis-parallel rectangle, determine the point with the largest priority in the rectangle. Using the ideas of the effective entropy of range maxima queries and succinct indices for range maxima queries, we obtain a structure that uses O(N) words and answers the above que...

In a series of recent papers Singh et al. have explored the idea of Simultaneous Localization and Mapping (SLAM) using range-only measurements. These measurements, obtained from radio or sonar sensors, come at irregular time intervals. In this report we explore the use of interpolation to generate data equally spaced in time, in order to improve the performance of SLAM algorithms. We test this ...