Multicriteria decision analysis (MCDA) involves techniques which relatively recently have received great increase in interest for their capabilities of solving spatial decision problems. One of the most frequently used techniques of MCDA is Analytic Hierarchy Process (AHP). In the AHP, decision-makers make pairwise comparisons between different criteria to obtain values of their relative import...

We consider imprecise evaluation of alternatives in multiple criteria ranking problems. The imprecise evaluations are represented by n-point intervals which are defined by the largest interval of possible evaluations and by its subintervals sequentially nested one in another. This sequence of subintervals is associated with an increasing sequence of plausibility, such that the plausibility of a...

Urban energy system planning (UESP) is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a highly multisectoral and multi-actor task, multicriteria decision analysis (MCDA) methods are frequently used in the decision processes. These me...

Urban parks are significant elements that improve the quality of life in built-up areas. This research aims to identify most attractive park Lodz, Poland, using a set assessment indicators. In our opinion, decision-making process assessing attractiveness urban may be assisted by Multiple Criteria Decision Analysis (MCDA). Two methods were chosen from MCDA group, namely Analytic Hierarchy Proces...

The Lithuanian Informatics Olympiad is a problem solving contest for high school students. The work of each contestant is evaluated in terms of several criteria, where each criterion is measured according to its own scale (but the same scale for each contestant). Several jury members are involved in the evaluation. This paper analyses the problem how to calculate the aggregated score for whole ...

This work has highlighted the importance, from a decision-making point of view, of identifying KPIs relationships. Then, it has presented two main groups of techniques that could be applied: Statistical techniques and multi-criteria decision aid techniques (MCDA). The application of one technique or another will be decided regarding the level of accuracy sought when identifying KPIs relationshi...