fuzzy simulation in uncertain circumstances

Just Caring: Parsimonious Care in Certain Uncertain Circumstances

Innovation Strategies Under Uncertain Regulatory Circumstances: Argentinean ICT MSMEs

The purpose of this article is to identify the business strategies of micro, small, and medium enterprises (MSMEs) in the telecommunications sector in Argentina, considering the economic and technical uncertainties and the regulatory constraints they face. We focus on MSMEs because, even though these small businesses provide critical access to infrastructure in remote communities, there is litt...

Fuzzy Gravitons From Uncertain Spacetime

The recently proposed remarkable mechanism explaining “stringy exclusion principle” on an Anti de Sitter space is shown to be another beautiful manifestation of spacetime uncertainty principle in string theory as well as in M theory. Put in another way, once it is realized that the graviton of a given angular momentum is represented by a spherical brane, we deduce the maximal angular momentum d...

Fuzzy Processing of Uncertain Data

In practice, we often come across situations where it is necessary to make decisions based on incomplete or uncertain data. In control systems it may be due to the unknown exact mathematical model, or its excessive complexity (e.g. nonlinearity) when it is necessary to simplify it, respectively, to solve it using a rule base. In the case of databases, searching data we compare a similarity meas...

Fuzzy System Dynamics Simulation for Manufacturing Supply Chain Systems with Uncertain Demand

Real-world manufacturing supply chain systems are characterised by imprecise and dynamic factors. As a result, decision-making takes place in a complex, dynamic and fuzzy environment in which managerial goals and the impacts of possible actions are not precisely known. In a demand driven manufacturing supply chain system, the presence of a fuzzy demand is a serious cause for concern. The presen...

assesment of economic projects in uncertain conditions (fuzzy approach)

the certainty assumption that is used in economic analysis, althouth is easier in analysis, may be but not logical because in most projects time is playing a key role. in this time horizon the amount of income and future costs affecting by factors that are not managable by investors and can not to be forecasted. therefore in practice usually there is a gap between forecased and real variables. ...