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...

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...

The purpose of this paper is to show that if one adopts conditional probabilities as the primitive concept probability, must deal with fact even in very ordinary circumstances at least some probability values may be imprecise, and questions fail have numerically precise answers.

Points-to analysis for large object-oriented systems is currently too imprecise or too slow. This prevents or hampers many useful client analyses, refactorings, or optimizations. In this paper, we present an SSA-based approach to points-to analysis that simulates the actual execution of a program. It is precise since it is both locally and globally flow-sensitive, more precise by construction c...

In Paramecium, during the development of the somatic macronucleus, precise excision of thousands of single-copy non-coding sequences is initiated by specific DNA double-strand breaks, while imprecise elimination of germ-line-limited repeated sequences leads to internal deletions or chromosome fragmentation. Recent data point to a role of non-coding RNAs in the epigenetic programming of these re...