nowadays a growing number of implementing informationtechnology service management (itsm) frameworks proves the trends toimprove the it services and processes in organizations. in order toimplement an itsm projects successfully in an organization, it isessential to select a suitable itsm solution. evaluation and selection ofthe itsm software packages is complicated and time consuming decisionma...

landfill site selection is an important action in integrated solid waste management process. different criteria should be considered in site selection. therefore using special methods are necessary to evaluate the criteria. the object of the current study was to determine and select suitable sites for solid waste landfill in shiraz city regarding the observation of environmental matters by usin...

in the science of operation research and decision theory, selection is the most important process. selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. the multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literature. i...

organizations in private and public sector assign many projects in information technology (particularly software) field to contractors for implementation every year. previous experiences shows that most of these projects are stopped before finishing or cannot meet the expected results. based on studies related to this issue, many of failures depend on implementation contractor, directly or indi...

the main purpose of this paper is to present a fuzzy multi-criteria decision making (fmadm) model for appropriate location selection of a health center. therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. these criteria and sub-criteria have been obtained from literature reviews and practical interviews. this paper proposes a method which combines th...

Whereas the variable selection has been extensively studied in the context of supervised learning, the unsupervised variable selection has attracted attention of researchers more recently as the available amount of unlabeled data has exploded. Many unsupervised variable ranking criteria were proposed and their relevance is usually demonstrated using either external cluster validity indexes or t...