In many decision making problems evaluations of possible alternatives of choice, with respect to several points of view (criteria) are expressed by means of h−interval (or fuzzy numbers). For example a pessimistic and an optimistic evaluation generate an interval containing the exact evaluation. These situations reflect lack of information or uncertainty on the same evaluations. In this paper w...

Manetho is a new transparent rollback recovery protocol for long running distributed computations It uses a novel combination of antecedence graph maintenance unco ordinated checkpointing and sender based message logging Manetho simultaneously achieves the advantages of pessimistic message logging namely limited rollback and fast output commit and the advantage of optimistic message logging nam...

We survey, in this paper, global concurrency control strategies for heterogeneous distributed database systems. We focus on the issues of consistency, local autonomy and performance. According to whether a strategy prevents or resolves inconsistency, it is classified into one of the two basic approaches: optimistic or pessimistic. The former intends to provide a high degree of concurrency among...

Here, I review current state-of-the-arts in many areas of AI to estimate when it’s reasonable to expect human level AI development. Predictions of prominent AI researchers vary broadly from very pessimistic predictions of Andrew Ng to much more moderate predictions of Geoffrey Hinton and optimistic predictions of Shane Legg, DeepMind cofounder. Given huge rate of progress in recent years and th...

Some of the parameters in issues of the reality world are uncertainty. One of the uncertain problems with the qualitative parameters is economic problems such as bankruptcy problem. In this case, there is a probability of dealing with imprecise concepts including the intervals regarding the official’s viewpoint, organizations’ managers. Accordingly, this article uses the concepts of data envelo...

This paper studies an alternating renewal process when on-off times are random fuzzy variables. We provide a theorem concerning the long-term average expected service times of customers. Here, we do not use the α0-pessimistic value and the α0-optimistic value of fuzzy variables, we simulate the expected value of random fuzzy variables based on fuzzy simulation to calculate the long-term average...

In this paper, we develop a model of experience goods pricing with indepedent private valuations. We show that the optimal paths of sales and prices take qualitatively different shapes for different products. If the buyers are initially pessimistic, then the prices are declining over time. If the buyers are initially optimistic, then the optimal prices are initially low followed by higher price...

This paper introduces a new method for calculating upper bounds on sys_________te~thrQughpuLratcs~multiple-cla.s!Lclosed-queueing--.netwoILmodeIs_when _ any lower bounds are known. The lower (pessimistic) bounds used here are multiple class balanced job bounds. The new technique for calculating upper (optimistic) bounds is independent of the system load. The space-time computational costs are l...

The paper entails the statistical correlation of the investigations carried out for the sales and profit prediction and analysis by persons of different mindsets in case of strategic uncertainty . The paper by virtue of statistical and fuzzy logic based justifications has pointed out certain discovered facts in this perspective. The normal , optimistic , pessimistic and fickleminded based indiv...