This paper presents an approach for analysing and prototyping urban road network routes based on multiple criteria, such as spatial quality, transportation cost and aesthetics, in order to evaluate the quality of people’s use of road networks. A prototype is developed to analyse routes and accessibility in road layouts from a number of design and user related perspectives. A case study is used ...

background: nowadays, the health work decision makers need to analyze a huge amount of data and consider many conflicting evaluation criteria and sub-criteria. therefore, an ergonomic evaluation in the work environment in order to the control occupational disorders is considered as the multi criteria decision making (mcdm) problem. in this study, the ergonomic risks factors, which may influence...

Wireless networks are designed to operate independently without any cooperation. With the many existing inconveniences of 3G networks, operators are persuaded to switch to heterogeneous access networks. This reduces the costs that operators should pay in order to move to 4G and thus make use of the existing networks infrastructures, to come up with heterogeneous environment where multiple wirel...

We consider an extension of a linear model studied by Gale, Kuhn and Tucker (GKT) for an optimization problem with multiple criteria and multiple right-hand sides (resources), in which the constraints are nonlinear convex functions. We establish a strong duality result for the above model, of which the GKT result is a special case.

An analysis of multiple criteria decision support systems and facilities management web-based automation applications that were developed by researchers from various countries assisted the authors to create their own Multiple Criteria Decision Support Web-Based System for Facilities Management (DSS-FM). DSS-FM differs from others in its use of new multiple criteria analysis methods as were deve...

the main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. in case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...