In many real-life situations, we need to select an alternative from a set of possible alternatives. In many such situations, we have a well-defined objective function u(a) that describes our preferences. If we know the exact value of u(a) for each alternative a, then we select the alternative with the largest value of u(a). In practice, however, we usually know the consequences of each decision $a$ only with some uncertainty. As a result, for each alternative $a$, instead of the exact utility value $u(a)$, we only know the interval of possible values. In this paper, we show that the resulting problem of decision making under interval uncertainty is a natural example of a quandle, i.e., of a general class of operations introduced in knot the...
Decision trees are an excellent tool for choosing between alternatives, where the likely financial o...
In many practical situations, we know the exact form of the objective function, and we know the opti...
Traditional decision theory is based on a simplifying assumption that for each two alternatives, a u...
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...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
In many real-life situations, we do not know the exact values of the expected gain corresponding to ...
If we know the probabilities p1 ; : : : ; pn of different situations s1 ; : : : ; sn , then we can c...
If we know the exact consequences of each action, then we can select an action with the largest valu...
AbstractIf we know the probabilities p1,…,pn of different situations s1,…,sn, then we can choose a d...
If we know the probabilities p(1),...,p(n) of different situations s1,...,sn, then we can choose a d...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
Abstract. In many engineering situations, we need to make decisions under uncertainty. In some cases...
If we know the exact consequences of each action, then we can select an action with the largest valu...
One of the important steps in deep learning is softmax, when we select one of the alternatives with ...
Decision trees are an excellent tool for choosing between alternatives, where the likely financial o...
In many practical situations, we know the exact form of the objective function, and we know the opti...
Traditional decision theory is based on a simplifying assumption that for each two alternatives, a u...
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...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
In many real-life situations, we do not know the exact values of the expected gain corresponding to ...
If we know the probabilities p1 ; : : : ; pn of different situations s1 ; : : : ; sn , then we can c...
If we know the exact consequences of each action, then we can select an action with the largest valu...
AbstractIf we know the probabilities p1,…,pn of different situations s1,…,sn, then we can choose a d...
If we know the probabilities p(1),...,p(n) of different situations s1,...,sn, then we can choose a d...
Abstract. In many situations, e.g., in financial and economic decision making, the decision results ...
Abstract. In many engineering situations, we need to make decisions under uncertainty. In some cases...
If we know the exact consequences of each action, then we can select an action with the largest valu...
One of the important steps in deep learning is softmax, when we select one of the alternatives with ...
Decision trees are an excellent tool for choosing between alternatives, where the likely financial o...
In many practical situations, we know the exact form of the objective function, and we know the opti...
Traditional decision theory is based on a simplifying assumption that for each two alternatives, a u...