Reliability estimates are useful for making design decisions. We consider the case where a designer must choose between an existing component whose reliability is well-established and a new component that has an unknown reliability. This paper compares the statistical approaches for updating reliability assessments based on additional simulation or experimental data. We consider four statistica...

Imprecise computation is known as a technique for real-time systems where precise outputs are traded off for timely responses to system events. This paper discusses how the technique can be applied to a class of real-time AI systems designed for solving combinatorial problems and proposes an evaluation method for assessing if imprecise computation can satisfy both the timing and functional requ...

The imprecise-computation technique was proposed as a way to handle transient overloads and enhance the dependability of real-time systems. In a system based on this technique, each time-critical task produces an approximate but usable result whenever a failure or overload prevents the system from producing a precise result. This approach makes meeting deadlines easier, increases the availabili...

Data Envelopment Analysis (DEA) is a mathematical programming-based approach for evaluates the relative efficiency of a set of DMUs (Decision Making Units). The relative efficiency of a DMU is the result of comparing the inputs and outputs of the DMU and those of other DMUs in the PPS (Production Possibility Set). Also, in Data Envelopment Analysis various models have been developed in order to...

I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller’s lower desirability for a gamble is defined as her lower probability for the event that a given subject will find the gamble (at least marginally) desirable. For lower desirability assessments, rationality criteria are introduced that go back to the criteria of avoiding su...

Recent Semantic Web research has been largely focused on precise ontologies and knowledge representation, leaving only little space for imprecise knowledge such as rules of thumb. The result is a Semantic Web which can answer requests almost perfectly with respect to precision, but provides only a low recall. In this position paper, we envision to address this issue with a stack of Semantic Web...

Acquiring precise data is expensive. Hence, there is interest in the development of computer algorithms that make full use of imprecise data, even though these new algorithms may be more complex and require more resources. In particular, most Genetic Fuzzy Systems (GFS). accept crisp inputs, but changes can be effected to them so that rules are obtained from vague data. Furthermore, the rule ge...

The purpose of this paper is to evaluate the revenue efficiency in the fuzzy network data envelopment analysis‎. ‎Precision measurements in real-world data are not practically possible‎, ‎so assuming that data is crisp in solving problems is not a valid assumption‎. ‎One way to deal with imprecise data is fuzzy data‎. ‎In this paper‎, ‎linear ranking functions are used to transform the full fuz...