Editorial for Special Issue on “Expert decision making for data analytics with applications”

Decisions can be made using human judgements, data analytics, or a combination of the two. With the rapid growth of data, various data analytics techniques have been adopted to explore data to find meaningful patterns to support decision-making. On the other hand, a lot of decision problems are without past data, or the related data exists but is very difficult and/or expensive to obtain; in which case formulation of a suitable decision model based on ‘expert’ judgements is the main solution for decision making. Whilst many decision problems are supported with partial data or are not merely based on historical data to find patterns, hybrid techniques integrating Expert Decision Models (EDMs) into Data Analytics Algorithms (DAAs) present a promising solution for complex decision and data analytics problems.