This paper aims to select an algorithm for the Machine Learning (ML) classification task. For proposed analysis, Multi-criteria Decision Aid (MCDA) Méthode d’ELimination et de CHoix Includent les relations d’ORdre (MELCHIOR) method was applied. The experiment considered following criteria as relevant: Accuracy, sensitivity, and processing time of algorithms. data used refers intention buying on...

     In the way of finding economic and tolerable plant to the arid and semi-arid climatic conditions and prevent desertification in these areas, this study aims to assess Agro-climatic suitability for producing Saffron in East-Azerbaijan province based on Geographic Information System (GIS) spatial analysis technique. For this goal, several criteria including soil conditions, climatological in...

Contaminated sediments and other sites present a difficult challenge for environmental decisionmakers. They are typically slow to recover or attenuate naturally, may involve multiple regulatory agencies and stakeholder groups, and engender multiple toxicological and ecotoxicological risks. While environmental decision-making strategies over the last several decades have evolved into increasingl...

Decision support systems (DSS) that are simple, spatial, flexible, non-deterministic and have a long track record of practical application in a policy environment have until recently been uncommon. There has been a rapid expansion in the development and description of both quantitative and soft system methods that can be applied to decision-making processes and many of these have application in...

A value measurement Multi Decision Criteria Analysis (MCDA) model was developed in order to reflect different dimensions that influence healthcare decisions. A literature review was performed in order to identify the most common criteria and scores scales to be included in the model, which was further complemented by expert opinion. Analytical hierarchy process was used to weight the importance...

Page ii research, which may assist in negotiating sustainable decisions while fostering a collaborative learning process between DMs, experts and the community. The two uncertainty analysis approaches overcome the limitations of the existing sensitivity analysis methods by being applicable to multiple MCDA techniques, incorporating uncertainty in all of the input parameters simultaneously, iden...

Stochastic Multicriteria Acceptability Analysis (SMAA) comprises a family of multiple criteria decision aiding (MCDA) methods for problems including incomplete, imprecise, and uncertain information. Methods of the family allow solving MCDA problems of various types. Even though the methods have been applied in the past in various real-life decision-making situations, the structure of a unified ...