Development of a Multicriteria Decision Making Model for Selecting Optimal Aviation Fatigue Measurement Methods

2021 ◽  
pp. 1-19
Author(s):  
Hamad Rashid ◽  
Salaheddine Bendak
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Measurement Methods ◽  
Multicriteria Decision ◽  
Fatigue Measurement ◽  
Decision Making Model

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related Factors

2011 ◽  
Vol 3 (2) ◽  
pp. 103-114
Author(s):  
Jakub Wojnar
Keyword(s):  
Decision Making ◽  
Team Member ◽  
Team Building ◽  
Multicriteria Decision Making ◽  
Individual Characteristics ◽  
Related Factors ◽  
Multicriteria Decision ◽  
Novel Approach ◽  
Member Selection ◽  
Decision Making Model

Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related FactorsThis paper presents a novel approach to the team building emphasizing group-related attributes of potential candidates instead of focusing on their individual characteristics during the recruitment process. The main assumption is that the teamwork capabilities are equally if not more important than individual skills or competences when selecting new team member. Myers-Briggs Type Indicator is used for analyzing teamwork capabilities and multicriteria decision making model will be developed as a final solution.

scholarly journals Multicriteria Decision Making Model with Z-Numbers Based on FUCOM and MABAC model

2020 ◽  
Vol 3 (2) ◽  
pp. 19-36 ◽  
Author(s):  
Darko Božanić ◽  
◽  
Duško Tešić ◽  
Aleksandar Milić ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Decision Making Model

Decision Making Model Based on the Z-Information

2020 ◽  
Vol 26 (11) ◽  
pp. 625-630
Author(s):  
O. M. Poleshchuk ◽  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Decision Models ◽  
Probabilistic Assessment ◽  
Multicriteria Decision ◽  
Numerical Example ◽  
Model Based ◽  
Definition Of ◽  
Decision Making Model ◽  
The Ideal

A model of multicriteria decision making is developed taking into account the reliability of the data obtained. To formalize the information containing the data and assess their reliability, Z-numbers are used, the definition of which was given by Lotfie Zadeh in 2011. Most of the well-known decision models based on Z-numbers are limited by the assumption of a probabilistic assessment of the reliability of the data, which significantly narrows the scope of these models. This article partially removes the restrictive requirements when working with Z-numbers. For components of Z-numbers, aggregate indicators are calculated using a-cuts, based on which the similarity indicator between Z-numbers is determined. Choosing the best alternative is based on the minimum indicator of similarity with the ideal alternative. A numerical example is presented that shows the operation of the model and its effectiveness under conditions of multi-criteria selection.

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