Probability and Sensitivity Analysis of Two-Dimensional Basin Modeling Results

1999 ◽  
Author(s):  
E. Bagirov ◽  
I. Lerche
Keyword(s):  
Sensitivity Analysis ◽  
Two Dimensional ◽  
Basin Modeling

scholarly journals Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

2021 ◽  
Author(s):  
Faruk Karaaslan ◽  
Mohammed Allaw Dawood Dawood
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operators ◽  
Multi Criteria Decision Making ◽  
Two Dimensional ◽  
Weighted Arithmetic ◽  
Mcdm Method ◽  
Dombi Operations

AbstractComplex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

An Overbooking Model for Air Cargo Industry under Stochastic Booking Request and Show-Up Rate

2015 ◽  
Vol 799-800 ◽  
pp. 1393-1397 ◽  
Author(s):  
Anupong Wannakrairot ◽  
Naragain Phumchusri
Keyword(s):  
Sensitivity Analysis ◽  
Random Variables ◽  
Two Dimensional ◽  
Air Cargo ◽  
Total Cost ◽  
Dimensional Characteristic ◽  
The Impact

Overbooking is a technique which sells goods or services in excess of the available capacity because there is a possibility that some customers might not show up. In air cargo overbooking problem, overbooking model is more complex because of the two-dimensional characteristic. This paper presents a two-dimensional air cargo overbooking model to find the optimal overbooking level in order to minimize the total cost, which consists of spoilage and offloading costs. Booking requests and show-up rate are random variables with known distributions. Sensitivity analysis is used to observe the impact of the ratio between spoilage and offloading costs on the optimal overbooking level.

Sensitivity Analysis of a Two-Dimensional Quantitative Microbiological Risk Assessment: Keeping Variability and Uncertainty Separated

Risk Analysis ◽  
2011 ◽  
Vol 31 (8) ◽  
pp. 1295-1307 ◽  
Author(s):  
Pieter Busschaert ◽  
Annemie H. Geeraerd ◽  
Mieke Uyttendaele ◽  
Jan F. Van Impe
Keyword(s):  
Risk Assessment ◽  
Sensitivity Analysis ◽  
Two Dimensional
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