Towards a Stratified Multi-Criteria Decision-Making in the Real-Time Data Processing
Mario José Diván · 2019
The real-time data processing jointly with the decision making is permanently demanded in the current economy. The Measurement and Evaluation (M&E) process represent a key asset for knowing the environment from a quantitative viewpoint. A measurement process must warranty its repeatability, consistency, and the comparability of its results. The interpretation of each result through the indicators represents a critical aspect in relation to the decision-making process. The Real-Time Data Processing Architecture based on Measurement Metadata uses a framework for automatizing the M&E process. An extension of this M&E framework is proposed for supporting the Stratified Multi-Criteria Decision-Making Method jointly with the updating of the architecture for supporting the indicator interpretation in different scenarios and entity's states. Further, a frequency analysis of each scenario and the entity's states are defined for giving feedback to the domain experts. Now, the indicators can be interpreted in real-time on each scenario and the entity's state jointly with the associated risks previously to make a decision.