Group decision making based on multiple types of linguistic preference relations

Z Xu - Information Sciences, 2008 - Elsevier
In this paper, we investigate group decision making problems with multiple types of linguistic
preference relations. The paper has two parts with similar structures. In the first part, we …

Linguistic intuitionistic fuzzy sets and application in MAGDM

H Zhang - Journal of Applied Mathematics, 2014 - Wiley Online Library
To better deal with imprecise and uncertain information in decision making, the definition of
linguistic intuitionistic fuzzy sets (LIFSs) is introduced, which is characterized by a linguistic …

A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms

Z Ma, J Zhu, K Ponnambalam, S Zhang - Information Fusion, 2019 - Elsevier
A large-scale group decision-making (LGDM) problem is studied from the perspective of
multi-stage hesitant fuzzy linguistic term sets (MHFLTSs). Solving an LGDM problem …

Hesitant interval-valued intuitionistic fuzzy-linguistic term set approach in Prisoners' dilemma game theory using TOPSIS: a case study on Human-trafficking

A Bhaumik, SK Roy, GW Weber - Central European Journal of Operations …, 2020 - Springer
A game is a situation which conceives and concludes through reality involving a set of
players, may be two or more. Conclusions of such situations are not always very easy, eg, if …

A note on linguistic hybrid arithmetic averaging operator in multiple attribute group decision making with linguistic information

Z Xu - Group Decision and Negotiation, 2006 - Springer
In this paper, we propose a linguistic hybrid arithmetic averaging (LHAA) operator, which is
based on linguistic weighted arithmetic averaging (LWAA) operator and extended ordered …

Large-scale group consensus hybrid strategies with three-dimensional clustering optimisation based on normal cloud models

W Liu, J Zhu, F Chiclana - Information Fusion, 2023 - Elsevier
Large-scale group decision-making (LSGDM) is characterised by a large number of experts
and a complex consensus reaching process. Clustering is used to divide the large group …

A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics

L Osiro, FR Lima-Junior, LCR Carpinetti - Journal of Cleaner Production, 2018 - Elsevier
Supply chain sustainability management is gaining increasing importance. Several studies
propose quantitative evaluation approaches to manage sustainable supply chains …

Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis

J Ye, B Sun, J Zhan, X Chu - Information Sciences, 2022 - Elsevier
Rough set theory has become an effective tool to address uncertain decision-making
problems. Nevertheless, existing rough set-based decision-making methods cannot …

Linguistic computational model based on 2-tuples and intervals

Y Dong, G Zhang, WC Hong… - IEEE Transactions on fuzzy …, 2013 - ieeexplore.ieee.org
Herrera and Martínez initiated a 2-tuple fuzzy linguistic representation model for computing
with words. Moreover, Wang and Hao further developed a new 2-tuple fuzzy linguistic …

An automatic approach to reaching consensus in multiple attribute group decision making

Z Xu - Computers & Industrial Engineering, 2009 - Elsevier
In this work, we consider the problem of consensus of multiple attribute group decision
making, and develop an automatic approach to reaching consensus among group opinions …