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Multi-attribute group decision-making under probabilistic uncertain linguistic environment

Journal of the Operational Research Society, 2017
AbstractExisting decision-making methods cannot work under the probabilistic uncertain linguistic environment where the decision makers give different uncertain linguistic terms as their assessments and the weights of assessments are different. In this paper, a novel concept called probabilistic uncertain linguistic term set is proposed, which is ...
Mingwei Lin   +3 more
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A novel method for heterogeneous multi-attribute group decision making with preference deviation

Computers & Industrial Engineering, 2018
Abstract Heterogeneous multi-attribute group decision making (HMAGDM) with preference deviation is a kind of complex and important problems in many decision situations. These problems involve real numbers, interval numbers, triangular fuzzy numbers, linguistic variables and intuitionistic fuzzy numbers. However, there are no general effective methods
Gao-Feng Yu, Deng-Feng Li 0001, Wei Fei
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Multidimensional fuzzy sets: Negations and an algorithm for multi-attribute group decision making

International Journal of Approximate Reasoning
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Landerson Santiago   +1 more
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A Multi-Attribute Decision Making Methodology for a Group of Technologies

ASCEND 2022, 2022
Leon Chen   +4 more
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Type-2 Fuzzy Approach in Multi Attribute Group Decision Making Problem

2017
The use of fuzzy linguistic expressions in group decision making process has been considered by several authors. However, to the best of our knowledge, none have applied Type2 Fuzzy Multi Attribute Group Decision Making (T2F-MAGDM), where referees are weighted based on their credibility and the level of their knowledge in the specific area by ...
Zohre Moattar Husseini   +1 more
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An Approach to Uncertain Linguistic Multi-Attribute Group Decision Making Based on Interactive Index

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015
In this paper, two uncertain linguistic Choquet aggregation operators called the induced uncertain linguistic hybrid generalized Shapley Choquet weighted averaging (IULHGSCWA) operator and the induced uncertain linguistic hybrid generalized Shapley Choquet geometric mean (IULHGSCGM) operator are defined.
Fanyong Meng 0001, Xiaohong Chen 0001
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Research and application of fuzzy grey multi-attribute group decision making

2008 Chinese Control and Decision Conference, 2008
This paper studies the problems of multi-attribute group decision making with hybrid uncertainty information of fuzzy and grey. Firstly, the definition and algorithm of fuzzy grey number is presented, then a model of fuzzy grey multi-attribute group decision making is established.
null Congjun Rao   +2 more
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Official selection model based on multi-attribute group decision making

2010 International Conference on Future Information Technology and Management Engineering, 2010
The problem of official selection is analyzed and researched. The problem of official selection is converted to a problem of multi-attribute group decision making. Based on the fuzzy math theory and decision making method, a fuzzy multi-attribute decision making model is presented to solve the problem of official selection.
null Ming Xie, null Xianjun Cui
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Multi-attribute group decision making under the condition of dual uncertainty

2008 27th Chinese Control Conference, 2008
The dual uncertainty information, i.e. fuzzy information and grey information in the problem of multi-attribute group decision making, are studied in this paper. Based on the theories of fuzzy mathematics and grey system, the concept of fuzzy grey number and its algorithm are defined firstly, then a model of dual uncertainty multi-attribute group ...
null Rao Congjun   +3 more
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Multi-Attribute Group Decision Making Method for Preference Conflicting with Heterogeneous Information

International Journal of Fuzzy System Applications, 2018
The aim of this article is to propose a multi-objective decision-making method for researching and solving multi-attribute heterogeneous group decision-making problems. This is in the case that the characters of the decision information and decision makers' preferences are heterogeneous, and the weight information is incomplete.
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