Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP

2012 ◽  
Vol 52 (3) ◽  
pp. 549-561 ◽  
Author(s):  
Salvatore Greco ◽  
Miłosz Kadziński ◽  
Vincent Mousseau ◽  
Roman Słowiński
Keyword(s):  
Group Decision ◽  
Ordinal Regression ◽  
Multiple Criteria ◽  
Robust Ordinal Regression

Multiple Criteria Hierarchy Process in Robust Ordinal Regression

2012 ◽  
Vol 53 (3) ◽  
pp. 660-674 ◽  
Author(s):  
Salvatore Corrente ◽  
Salvatore Greco ◽  
Roman Słowiński
Keyword(s):  
Ordinal Regression ◽  
Multiple Criteria ◽  
Robust Ordinal Regression ◽  
Hierarchy Process

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

Dimensionality Reduced Robust Ordinal Regression applied to Life Cycle Assessment

2021 ◽  
pp. 115021
Author(s):  
Elia Balugani ◽  
Francesco Lolli ◽  
Martina Pini ◽  
Anna Maria Ferrari ◽  
Paolo Neri ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Ordinal Regression ◽  
Robust Ordinal Regression
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