Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

After an emergency event (EE) happens, emergency decision making (EDM) is a common and effective way to deal with the emergency situation, which plays an important role in mitigating its level of harm. In the real world, it is a big challenge for an individual emergency manager (EM) to make a proper and comprehensive decision for coping with an EE. Consequently, many practical EDM problems drive group emergency decision making (GEDM) problems whose main limitations are related to the lack of flexibility in knowledge elicitation, disagreements in the group and the consideration of experts’ psychological behavior in the decision process. Hence, this paper proposes a novel GEDM approach that allows more flexibility for preference elicitation under uncertainty, provides a consensus process to avoid disagreements and considers experts’ psychological behavior by using the fuzzy TODIM method based on prospect theory. Eventually, a group decision support system (GDSS) is developed to support the whole GEDM process defined in the proposed method demonstrating its novelty, validity and feasibility.This work was partly supported by the Young Doctoral Dissertation Project of Social Science Planning Project of Fujian Province (Project No. FJ2016C202), National Natural Science Foundation of China (Project Nos. 71371053, 61773123), Spanish National Research Project (Project No. TIN2015-66524-P), and Spanish Ministry of Economy and Finance Postdoctoral Fellow (IJCI-2015-23715) and ERDF

Modelado complejo de información lingüística en problemas de toma de decisión en grupo bajo incertidumbre

El modelado de información lingüística en problemas de Toma de Decisión en Grupo (TDG) con incertidumbre y sus Procesos de Alcance de Consenso (PAC), se ha convertido en una línea de investigación de gran importancia dentro del ámbito de la toma de decisión. La mayoría de propuestas enfocadas al modelado lingüístico, se basan en el enfoque lingüístico difuso y emplean expresiones lingüísticas cercanas a la forma de pensar de los seres humanos para modelar la incertidumbre inherente en los problemas de decisión. Sin embargo, muchas de estas propuestas presentan limitaciones en términos de interpretación y/o precisión. En esta tesis doctoral, se ha propuesto un nuevo marco metodológico para el modelado y tratamiento de incertidumbre para problemas de TDG y PAC mediante expresiones lingüísticas complejas que permite modelar las opiniones de los expertos en este tipo de problemas.The modelling of linguistic information in Group Decision Making (GDM) problems with uncertainty and its Consensus Reaching Processes (CRPs) has become a very important research line in the field of decision making. Most of the proposals focused on linguistic modelling are based on the fuzzy linguistic approach and use linguistic expressions close to the way human beings’ thinking to model the uncertainty inherent in decision problems. However, many of these proposals have limitations in terms of interpretation and/or accuracy. In this doctoral thesis, a new methodological framework has been proposed for the modelling and treatment of uncertainty for GDM and CRPs problems by means of complex linguistic expressions that allow modelling the experts’ opinions in this type of problems.Tesis Univ. Jaén. Departamento de Informática. Leída el 30 de abril de 2021