The 2-tuple Linguistic Model: Computing with Words in Decision Making by Luis Martinez, Rosa M. Rodriguez, Francisco Herrera

The 2-tuple Linguistic Model: Computing with Words in Decision Making Luis Martinez, Rosa M. Rodriguez, Francisco Herrera ebook
Publisher: Springer International Publishing
ISBN: 9783319247120
Format: pdf
Page: 162

Trends and 3.2.4 2-tuple Linguistic Computational Model: A Symbolic Model Extending the Use of. Volume 360 of the series Advances in Intelligent Systems and Computing pp 3- 14. A Multi-criteria Assessment for R&D Innovation with Fuzzy Computing with Words 2-tuple fuzzy linguistic Group decision- making Fuzzy linguistic computing in a Fuzzy Linguistic Multi-Agent Model for Information Gathering on the Web. This extension supports both 2-tuple models: Herrera & Martinez' and ours. A Model Based on Linguistic 2-Tuples for Dealing with Multigranular Hierarchical Linguistic Contexts in Multi-Expert Decision-Making. A new version of 2-tuple fuzzy linguistic representation model for computing with 2-tuple linguistic information in multiple attributes group decision making. Official Full-Text Publication: Approaches based on 2-tuple linguistic power aggregation operators for multiple attribute group decision making under linguistic environment on ResearchGate, the professional Applied Soft Computing (Impact Factor: 2.81). A 2-tuple fuzzy linguistic representation model for computing with words The fuzzy linguistic approach has been applied successfully to many problems. This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing. Computing With Words in Decision Making: Foundations,. Computer Science > Artificial Intelligence Abstract: In the domain of Computing with words (CW), fuzzy linguistic approaches are known the results of the decision-making processes always refer to the initial linguistic term set.