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Journal Articles Information Sciences Year : 2016

GDM-R: A new framework in R to support fuzzy group decision making processes

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Abstract

With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases a huge number of decision makers, and many different alternatives. In the literature we can find a great variety of methodologies to assist multi-person decision making. However these classical approaches are not suitable to deal with such complexity since there are no tools able to carry out automatically the decision making processes, providing graphical information about its evolution. The main objective of this contribution is to present an open source framework fully developed in R to carry out consensus guided decision making processes using fuzzy preference relations and providing mechanism to deal with missing information. The system includes tools to visualize the evolution of the decision making process and presents various operation modes, including a test operation one which automatically creates a customized decision scenario to validate, test and compare among various decision making approaches.
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inserm-03390610 , version 1 (21-10-2021)

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Raquel Ureña, Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma. GDM-R: A new framework in R to support fuzzy group decision making processes. Information Sciences, 2016, 357, pp.161 - 181. ⟨10.1016/j.ins.2016.03.008⟩. ⟨inserm-03390610⟩

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