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MQDM: An Iterative Fuzzy Method for Group Decision Making in Structured Social Networks
Author(s) -
Soto C. Ramón,
RoblesBaldenegro M. Elena,
López Victoria,
Camalich Juan A.
Publication year - 2017
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21826
Subject(s) - group decision making , voting , group (periodic table) , computer science , context (archaeology) , set (abstract data type) , fuzzy logic , sequence (biology) , globalization , artificial intelligence , majority rule , social group , fuzzy set , collective intelligence , management science , knowledge management , sociology , political science , social science , social psychology , psychology , politics , engineering , paleontology , chemistry , genetics , organic chemistry , law , biology , programming language
Modern human societies have evolved into an almost entirely connected world, giving place to a remarkable increase in social interactions. In this new context and because of the globalization of all human activities, the collective participation in decision‐making processes takes an increasingly prominent role. In this paper, a method for group decision making from a set of imprecise opinions called “moviQuest Decision Making” (MQDM), is presented. This method allows to integrate the opinions of heterogeneous groups of agents in a structured social network along a sequence of voting rounds for collective decision making.