Uncertain graphs are employed to describe graph models with indeterministicinformation that produced by human beings. This paper aims to study themaximum matching problem in uncertain graphs.The number of edges of a maximum matching in a graph is called matching numberof the graph. Due to the existence of uncertain edges, the matching number of an uncertain graph is essentially an uncertain var...

We study a new variant of the classical lot sizing problem with uncertain demand where neither planning horizon nor demands are known exactly. This situation arises in practice when customer arriving over time confirmed rather lately during transportation process. In terms planning, this setting necessitates rolling procedure overall multistage is dissolved into series coupled snapshot problems...

Uncertain hypothesis test is a statistical tool that uses uncertainty theory to determine whether some hypotheses are correct or not based on observed data. As an application of uncertain test, this paper proposes method differential equation fits the data not. In order demonstrate method, numerical examples provided. Finally, both currency model and stochastic used US Dollar Chinese Yuan (USD–...

Chance theory is a mathematical methodology for dealing with indeterminatephenomena including uncertainty and randomness.Consequently, uncertain random variable is developed to describe the phenomena which involveuncertainty and randomness.Thus, uncertain random variable is a fundamental concept in chance theory.This paper provides some practical quantities to describe uncertain random variable...

Abstract This special issue of Cadernos EBAPE.BR sought to provoke a reflection focused on uncertain consumption practices in an future. While prior marketing and consumer research has explored framed by institutionalized, known, more or less predictable context, the set articles approved this edition reveals different nuances. From experiential accounts grief role music coping with struggles i...

In this paper we formulate a two-stage stochastic quadratic optimization problem, that models a production planning problem of multiple products, over several time periods, with uncertain demands. This model considers quadratic inventory holding and demand backlogging recourse costs, which model the saturation phenomenon inherent to the increase of the inventory and/or backlogged demand levels....

This paper studies a vehicle routing problem, where vehicles have a limited capacity and customer demands are uncertain and represented by belief functions. More specifically, this problem is formalized using a belief function based extension of the chance-constrained programming approach, which is a classical modeling of stochastic mathematical programs. In addition, it is shown how the optima...

This paper outlines the recent history of capital funding in the health sector in Australia. It focuses on the trends in capital expenditures and the roles of the public and private sectors. The demand for future capital funding will depend upon a number of factors, including the state of the current capital stock and uncertain future impacts of technology and changes in patient demands. Becaus...