A Bibliometric Review of Decision Models in Uncertainty Between 1990 and 2018

de Paula L.B.; de La Vega I.; Gil-Lafuente A.M. · Lecture Notes in Networks and Systems (2022) · DOI: 10.1007/978-3-030-93787-4_13

Resumen

The increase in uncertainty due to frequent changes affects decision making, increasing the complexity of choosing the best decisions. For this reason, the decision-maker is looking for alternatives to reduce risks and meet these new challenges. In this context, the document aims to carry out a bibliometric review of decision models under uncertainty between 1990 and 2018 and to learn about the scientific progress of seventeen peer-validated models. It analyses 21,535 articles in nine bibliometric indicators extracted from the Web of Science database. As main results, a positive trend of publications in the analysed models observed, being the Analytical Hierarchical Process (AHP) the most used one. Also, China presented as a country with more scientific collaborations. There is excellent potential for future lines of research on the subject.

Instituciones: Pontificia Universidad Católica del Perú