A majority model in group decision making using QMA-OWA operators

2005 ◽  
Vol 21 (2) ◽  
pp. 193-208 ◽  
Author(s):  
J.I. Peláez ◽  
J.M. Doña
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Owa Operators ◽  
Majority Model

Direct approach processes in group decision making using linguistic OWA operators

1996 ◽  
Vol 79 (2) ◽  
pp. 175-190 ◽  
Author(s):  
F. Herrera ◽  
E. Herrera-Viedma ◽  
J.L. Verdegay
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Direct Approach ◽  
Owa Operators

Group decision making based on induced uncertain linguistic OWA operators

2013 ◽  
Vol 55 (1) ◽  
pp. 296-303 ◽  
Author(s):  
Jibin Lan ◽  
Qing Sun ◽  
Qingmei Chen ◽  
Zhongxing Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Owa Operators

scholarly journals An algorithm for group decision making using n-dimensional fuzzy sets, admissible orders and OWA operators

2017 ◽  
Vol 37 ◽  
pp. 126-131 ◽  
Author(s):  
L. De Miguel ◽  
M. Sesma-Sara ◽  
M. Elkano ◽  
M. Asiain ◽  
H. Bustince
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Group Decision ◽  
Owa Operators ◽  
Admissible Orders

Efficient Multiple Attribute Group Decision Making Models with Correlation Coefficient of Vague Sets

2014 ◽  
Vol 5 (3) ◽  
pp. 27-49 ◽  
Author(s):  
John Robinson ◽  
Henry Amirtharaj
Keyword(s):  
Decision Making ◽  
Correlation Coefficient ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Averaging ◽  
Owa Operators ◽  
Vague Sets ◽  
Attribute Weights ◽  
Ordered Weighted Averaging ◽  
Multiple Attribute

A new approach for multiple attribute group decision making (MAGDM) problems where the attribute weights and the expert weights are real numbers and the attribute values take the form of vague values, is presented in this paper. Since families of ordered weighted averaging (OWA) operators are available in the literature, and only a few available for vague sets, the vague ordered weighted averaging (VOWA) operator and the induced vague ordered weighted averaging (IVOWA) operator are introduced in this paper and utilized for aggregating the vague information. The correlation coefficient for vague sets is used for ranking the alternatives and a new MAGDM model is developed based on the IVOWA operator and the vague weighted averaging (VWA) operator. In addition to the proposed model, two different models are proposed based on Linguistic Quantifiers for the situation when the expert weights are completely unknown. An illustrative example is given and a comparison is made between the models to demonstrate the applicability of the proposed approach of MAGDM.

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