Open lectures given by professor of University of Granada (Spain) Enrique Herrera-Viedma at the Applied Probability and Informatics Department of RUDN University
Professor of the Department of Computer Science and Artificial Intelligence of the University of Granada (Spain) Enrique Herrera-Viedma arrives at the Applied Probability and Informatics Department of RUDN University on May 15 - 17, 2018. His visit is holding in the framework of the RUDN University Competitiveness Enhancement Program “5-100”.
Enrique Herrera-Viedma graduated from the University of Granada in 1996. He being considered one of the world’s most influential scientific researchers. His current research interests include intelligent decision making, group decision making, consensus models, fuzzy linguistic modeling, aggregation of information, information retrieval, bibliometric, digital libraries, web quality evaluation, recommender systems, and social media.
Professor Enrique Herrera-Viedma is an Associate Editor of several core international journals indexed in Journal Citation Reports such as the IEEE transactions on systems, MAN, and cybernetics: Knowledge Based Systems, Soft Computing, Journal of Intelligent and Fuzzy Systems and many others. From 2014 he is member of the government of the IEEE SMC Society.
Repeatedly, professor gives open lectures for bachelor, master and PhD students of the Applied Probability and Informatics Department of RUDN University. This year, he will present a course of lectures on theoretical methods in the teletraffic theory on the topic of « Dynamic Consensus Processes in Group Decision Making».
Consensus in group decision making requires discussion and deliberation between the group members with the aim to reach a decision that reacts the opinions of every group member in order for it to be acceptable by everyone. Traditionally, the consensus reaching problem is theoretically modelled as a multi stage negotiation process, i.e. an iterative process with a number of negotiation rounds, which ends when the consensus level achieved reaches a minimum required threshold value. In real world decision situations, both the consensus process environment and specific parameters of the theoretical model can change during the negotiation period. Consequently, there is a need for developing dynamic consensus process models to represent effectively and realistically the dynamic nature of the group decision making problem. Indeed, over the past few years, static consensus models have given way to new dynamic approaches in order to manage parameter variability or to adapt to environment changes. This talk presents a systematic literature review on the recent evolution of consensus reaching models under dynamic environments and critically analyze their advantages and limitations.
15 May (Monday): 12:40-15:50 (floor 2, room 114)