Cross-disciplinary research in analytic decision support systems

• A main problem in nearly all contexts is that unguided decision making is tremendously difficult and can lead to inefficient decision processes and undesired consequences. Therefore, decision support systems (DSSs) are of prime concern to any organization and there have been numerous approaches to such from, e.g., computational, mathematical, financial, philosophical, psychological, and sociological angles. However, a key observation is that efficient decision making is not easily performed by using methods from one discipline only. The case is rather that if real world decision making is taken seriously, several aspects must be included. This article describes some efforts of the DECIDE research group for approaching decision making and developing DSSs in a cross-disciplinary environment.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)