Marco Cinelli

TL;DR: The analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches.

TL;DR: By showing how decision making can be split into manageable and justifiable steps, it is shown how the DSSs for MCDA method recommendation can be grouped into three main clusters, which can enhance a traceable and categorizable development of such systems.

TL;DR: This research develops a model for the green chemistry-based classification of silver nanoparticle synthesis protocols into preference-ordered performance classes using Dominance-based Rough Set Approach (DRSA), a model composed of decision rules that are logical statements in the form: “if conditions, then decision”.

TL;DR: In this article, a pre-event resilience assessment of energy systems is presented. But the assessment comprises the pre event orientations and resilience assessment comprises a series of pre-and post-event orientations.

TL;DR: A MCDA approach to assess the implementation of green chemistry principles as applied to the protocols for nanoparticles synthesis, which is proven to effectively resolve inconsistency in the assignment examples, tolerate ordinal and cardinal measurement scales, differentiate between inter- and intra-criteria attractiveness and deliver easily interpretable scores and class assignments.