The productivity change of a decision making unit (DMU) between two time periods can be evaluated by the Malmquist productivity index. In this study, we propose a method to compute the Malmquist productivity index in several time periods (from the first to the last periods) on interval data in data envelopment analysis (DEA). Then, the obtained Malmquist productivity index is compared with Malm...

Temporal Data Mining is the study of pattern searches in time-dependent data. Time-dependent data is generated in a natural way in many different application scenarios. This thesis is motivated by three applications from the automotive industry which produce time-dependent data in the form of interval sequences. Each interval of an interval sequence describes the occurrence of a certain event o...

In many practical situations, one may be interested in knowing the extent to which the system will survive an interval of duration after it has been run for a long time. In such situation, the limiting interval reliability may be used as an appropriate measure for system effectiveness. Also, since it is difficult to obtain closed form expressions for the interval reliability, except for few sim...

Given a set I of n intervals, a stabbing query consists of a point q and asks for all intervals in I that contain q. The Interval Stabbing Problem is to find a data structure that can handle stabbing queries efficiently. We propose a new, simple and optimal approach for different kinds of interval stabbing problems in a static setting where the query points and interval ends are in {1, . . . , ...

In Analytic Hierarchy Process (AHP) structured hierarchically as several criteria and alternatives, the priority of an alternative is obtained by using the pairwise comparisons based on decision maker’s intuition. Thus, the given comparisons are uncertain and inconsistent each other. We use the interval approach for obtaining interval evaluations which are suitable for handling uncertain data. ...