In this paper, we propose a novel method for ranking a set of fuzzy numbers. In this method a preference index is proposed based on $alpha$-optimistic values of a fuzzy number. We propose a new ranking method by adopting a level of credit in the ordering procedure. Then, we investigate some desirable properties of the proposed ranking method.

Abstract Probabilistic pushdown automata (pPDA) are a standard model for discrete probabilistic programs with procedures and recursion. In pPDA, many quantitative properties characterized as least fixpoints of polynomial equation systems. this paper, we study the problem certifying that these quantities lie within certain bounds. To end, first characterize systems admit easy-to-check certificat...

While value iteration (VI) is a standard solution approach to simple stochastic games (SSGs), it suffered from the lack of stopping criterion. Recently, several solutions have appeared, among them also “optimistic” VI (OVI). However, OVI applicable only one-player SSGs with no end components. We lift these two assumptions, making available general SSGs. Further, we utilize idea in context topol...

We discuss the relative merits of optimistic and randomized approaches to exploration in reinforcement learning. Optimistic approaches presented in the literature apply an optimistic boost to the value estimate at each state-action pair and select actions that are greedy with respect to the resulting optimistic value function. Randomized approaches sample from among statistically plausible valu...

Causal consistency (CC) is an attractive model for geo-replicated data stores because it hits a sweet spot in the ease-of-programming versus performance trade-off. We present new approach implementing CC stores, which we call Optimistic Consistency (OCC). OCC's main design goal to maximize freshness. The optimism our lies fact that updates replicated remote center are made visible immediately, ...

Optimal control is an important field of study both in theory and in applications. Based on uncertainty theory, an expected value model of uncertain optimal control problem was studied by Zhu. In this paper, an optimistic value model for uncertain optimal control problem is investigated. Applying Bellman’s principle of optimality, the principle of optimality for the model is presented. And then...

Action-outcome contingencies can be learnt either by active trial-and-error, or vicariously, by observing the outcomes of actions performed by others. The extant literature is ambiguous as to which of these modes of learning is more effective, as controlled comparisons of operant and observational learning are rare. Here, we contrasted human operant and observational value learning, assessing i...

Limitations of CAP theorem imply that if availability is desired in the presence of network partitions, one must sacrifice sequential consistency, a consistency model that is more natural for system design. We focus on the problem of what a designer should do if she has an algorithm that works correctly with sequential consistency but is faced with an underlying key-value store that provides a ...