Add to ORKGIn many practical situations, we have several estimates x1, ..., xn of the same quantity x. In such situations, it is desirable to combine this information into a single estimate x. Often, the estimates come with interval uncertainty, i.e., instead of the exact values xi, we only know the intervals [xi] containing these values. In this paper, we formalize the problem of finding the combined estimate x as the problem of maximizing the corresponding utility, and we provide an efficient (quadratic-time) algorithm for computing the resulting estimate
In many practical situations, we need to combine probabilistic and interval uncertainty. For example...
If we know the probabilities p1 ; : : : ; pn of different situations s1 ; : : : ; sn , then we can c...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...
Abstract. In many practical situations, users select between n alternatives a1,..., an, and the only...
In many practical situations, we know the exact form of the objective function, and we know the opti...
When we have only interval ranges [xi-,xi+] of sample values x1,...,xn, what is the interval [V-,V+]...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
In many situations, e.g., in financial and economic decision making, the decision results either in ...
We present a methodology through exemplification to perform parameter estimation subject to possible...
When we have only interval ranges [x i ; x i ] of sample values x 1 ; : : : ; xn , what is the inte...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In this paper, we propose a methodology for construction of confidence interval on mean values with ...
In many practical situations, we know the exact form of the objective function, and we know the opti...
In many real-life situations, we need to make decisions in situations when we do not have full infor...
In many real-life situations, we do not know the probability distribu-tion of measurement errors but...
In many practical situations, we need to combine probabilistic and interval uncertainty. For example...
If we know the probabilities p1 ; : : : ; pn of different situations s1 ; : : : ; sn , then we can c...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...
Abstract. In many practical situations, users select between n alternatives a1,..., an, and the only...
In many practical situations, we know the exact form of the objective function, and we know the opti...
When we have only interval ranges [xi-,xi+] of sample values x1,...,xn, what is the interval [V-,V+]...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
In many situations, e.g., in financial and economic decision making, the decision results either in ...
We present a methodology through exemplification to perform parameter estimation subject to possible...
When we have only interval ranges [x i ; x i ] of sample values x 1 ; : : : ; xn , what is the inte...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
In this paper, we propose a methodology for construction of confidence interval on mean values with ...
In many practical situations, we know the exact form of the objective function, and we know the opti...
In many real-life situations, we need to make decisions in situations when we do not have full infor...
In many real-life situations, we do not know the probability distribu-tion of measurement errors but...
In many practical situations, we need to combine probabilistic and interval uncertainty. For example...
If we know the probabilities p1 ; : : : ; pn of different situations s1 ; : : : ; sn , then we can c...
In many engineering situations, we need to make decisions under uncertainty. In some cases, we know ...