Generalization of a Classic Approach to Dealing with Uncertainty of Information for Multicriteria Decision Problems

2010 ◽  
pp. 247-261
Keyword(s):  
Decision Problems ◽  
Multicriteria Decision ◽  
Classic Approach ◽  
Multicriteria Decision Problems

A net-flow based approach to detect outliers in multicriteria decision problems

2021 ◽  
pp. 1-12
Author(s):  
Baroudi Rouba
Keyword(s):  
Decision Aid ◽  
Statistical Approach ◽  
Real Life ◽  
Research Direction ◽  
Decision Problems ◽  
Multicriteria Decision Aid ◽  
Multicriteria Decision ◽  
Promethee Method ◽  
Multicriteria Decision Problems ◽  
New Research

Detecting outliers in multicriteria decision aid (MCDA) field is a new research direction that has not been enough explored. This paper tackles this problem by proposing a statistical approach based on PROMETHEE method net-flow. To consider the multicriteria character of the problem, the net-flow of each object is computed by applying PROMETHEE method. According to the normal distribution of the net-flow values, the standard deviation (SD) or interquartile range (IQR) statistical methods are used to detect outliers. To prove its applicability, the proposed approach is evaluated on real life problem.

scholarly journals Using DEA Factor Efficiency Scores to Eliminate Subjectivity in Goal Programming

2011 ◽  
Vol 2011 ◽  
pp. 1-18 ◽  
Author(s):  
Herbert F. Lewis
Keyword(s):  
Goal Programming ◽  
Decision Makers ◽  
Decision Problems ◽  
Data Envelopment ◽  
Model Framework ◽  
Ambulatory Surgery Centers ◽  
Multicriteria Decision ◽  
Target Values ◽  
Multicriteria Decision Problems ◽  
Real World Problems

Many real-world problems require decision makers to consider multiple criteria when performing an analysis. One popular method used to analyze multicriteria decision problems is goal programming. When applying goal programming, it is often difficult if not impossible to determine the target values and unit penalty weights with any level of confidence. Thus, in many situations, managers and decision makers may be forced to specify these parameters subjectively. In this paper, we present a model framework designed to eliminate the arbitrary assignment of target values and unit penalty weights when applying goal programming to solve multicriteria decision problems. In particular, when neither of these parameters is available, we show how to integrate factor efficiency scores determined from data envelopment analysis into the model. We discuss an application of the methodology to ambulatory surgery centers and demonstrate the model framework via a product mix example.

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