• A new multicriteria divisive hierarchical clustering has been developed. It is coupled with SMAA and Ensemble clustering. tackles problems uncertainty imprecision. The methodology applied to cluster financial institutions. Clustering a long widely-used technique group similar objects based on their distance. Recently, it found that this grouping exercise can be enhanced if the preference info...

The Syrian Medical Aid Association (SMAA), created by British philanthropists and medical men in the 1840s, represents one of the earliest attempts by a secular organization to transmit Western medicine to a part of the world deemed to be in need of assistance. Its founders, convinced of the need for well-trained physicians, drugs, and equipment in Syria and hopeful that the introduction of sci...

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with inaccurate, uncertain, or missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The ...

In this paper we describe the data for five real applications of multicriteria methods in the context of environmental problems. The applications are: (1) the choice of a solid waste management system for the Uusimaa region, Finland, (2) for the Jämsä region, Finland, (3) the Oulu region, Finland, (4) locating a waste treatment facility in the Savonlinna region, Finland, and (5) choosing among ...

Spinal muscular atrophy (SMA) is the most common lethal recessive disease in childhood, and there is currently no effective treatment to halt disease progression. The translation of scientific advances into effective therapies is hampered by major roadblocks in clinical trials, including the complex regulatory environment in Europe, variations in standards of care, patient ascertainment and enr...

We consider multicriteria decision-aid (MCDA) problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements can be represented as probability distributions. In many real-life problems the uncertainties may be dependent. However, it is often difficult to quantify these dependencies. Also most of the existing MCDA methods are unable to handle...