Feature cluster: Learning perspectives in Multiple Criteria Decision Analysis

Progressive methods in multiple criteria decision analysis

This is a summary of the author’s PhD thesis, defended on 8 October 2007 at the University of Luxembourg and the Faculté Polytechnique de Mons, under the joint supervision of Raymond Bisdorff and Marc Pirlot. The thesis is written in English and is available from the author upon request. The work is situated in the field of Multiple Criteria Decision Analysis (MCDA). It mostly deals with what w...

Multiple criteria decision analysis - an integrated approach

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GIS-Based Multiple-Criteria Decision Analysis

Important and complex spatial decisions, such as allocating land to development or conservationoriented goals, require information and tools to aid in understanding the inherent tradeoffs. They also require mechanisms for incorporating and documenting the value judgements of interest groups and decision makers. Multiple-criteria decision analysis (MCDA) is a family of techniques that aid decisi...

Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects

This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectiv...

Approaching Sustainability in Engineering Design with Multiple Criteria Decision Analysis