We present a new methodology to lead the selection of Multiple Criteria Decision Analysis (MCDA) methods. It is implemented in Methods Selection Software (MCDA-MSS), decision support system that helps analysts answer recurring question science: “Which most suitable method (or subset MCDA methods) should be used for given Decision-Making Problem (DMP)?”. The MCDA-MSS provides guidance decision-m...

The chorionicity-based evaluation of the perinatal risk in twin pregnancies after assisted reproductive technology (ART) is lacking. A retrospective review was performed of all twin pregnancies monitored prenatally and delivered at our hospital between 2010 and 2014. Chorionicity was diagnosed by ultrasound examination at first trimester and confirmed by postnatal pathology. Pregnancy and perin...

Multi-criteria decision analysis (MCDA) is well equipped to deal with conflicting, qualitative objectives when evaluating strategic options. Scenario planning provides a framework for confronting uncertainty, which MCDA lacks. Integration of these methods offers various advantages, yet its effective application in evaluating strategic options would benefit from scenarios that reflect a larger n...

The rehabilitation of contaminated sites involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support system becomes therefore necessary in order to manage problem complexity and to define effective rehabilitation interventions. DESYRE (Decision Support sYstem for Rehabilitation of contaminated sites) is a software system which integrat...

The aim of this study was to assess the aorta-intima thickness (aIT) and serum metabolomic profile in selective intrauterine growth-restricted (sIUGR) monochorionic diamniotic (MCDA) twin fetuses presenting Doppler velocimetry alterations. Fetal abdominal aIT was measured by ultrasound at 32 weeks of gestation, enrolling 24 MCDA twin fetuses (8 sIUGR and 16 controls). sIUGR twin fetuses were cl...

Multi-criteria decision analysis (MCDA) is a decision aid frequently used in the field of forest management planning. It includes the evaluation of multiple criteria such as the production of timber and non-timber forest products and tangible as well as intangible values of ecosystem services (ES). Hence, it is beneficial compared to those methods that take a purely financial perspective. Accor...

OBJECTIVE The present study aims to analyze perinatal outcomes in twins given special care during pregnancy and labor and to compare fetal and neonatal outcomes in dichorionic twins with monochorionic twins. STUDY DESIGN Eighty eight (88) twin pregnancies booked for care at a tertiary care Fetal Medicine centre were included in this study. The maternal demographic variables, course of pregnan...

Many forest planning situations are complex; multiple criteria of different natures have to be considered and several stakeholders or social groups may be involved. An approach that is increasingly used in these complex situations is the combination of multiple criteria decision analysis (MCDA) and participatory planning. A crucial part of MCDA processes involving more than one decision maker i...

The topic of clustering has been widely studied in the field of Data Analysis, where it is defined as an unsupervised process of grouping objects together based on notions of similarity. Clustering in the field of Multi-Criteria Decision Aid (MCDA) has seen a few adaptations of methods from Data Analysis, most of them however using concepts native to that field, such as the notions of similarit...

The implementation of stormwater Best Management Practices (BMPs) could help re-establish the natural hydrological cycle of watersheds after urbanization, with each BMP presenting a different performance across a range of criteria (flood prevention, pollutant removal, etc.). Additionally, conflicting views from the relevant stakeholders may arise, resulting in a complex selection process. This ...