Sensitivity analysis for decision-making using the MORE method—A Pareto approach

2009 ◽  
Vol 94 (7) ◽  
pp. 1229-1237 ◽  
Author(s):  
Jakin K. Ravalico ◽  
Holger R. Maier ◽  
Graeme C. Dandy
Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.


Author(s):  
Faruk Karaaslan ◽  
Mohammed Allaw Dawood Dawood

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.


2017 ◽  
Vol 12 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Dragan Pamucar ◽  
Darko Bozanic ◽  
Aca Randjelovic

2012 ◽  
Vol 6 (2) ◽  
pp. 94
Author(s):  
Dana Indra Sensuse ◽  
Wiliam Suhaidir

Penelitian ini membahas tentang perancangan Digital Dashboard System pada PT XYZ dan dampaknya pada perusahaan tersebut dalam hal pengambilan keputusan. Digital Dashboard dirancang untuk dapat menyajikan sensitivity analysis kinerja keuangan rugi-labarugi-laba PT XYZ. Pada penelitian ini, proses perancangan Digital Dashboard dimulai dari identifikasi variabel, identifikasi user requirement, perancangan user interface hingga proses pengujian. Hasil penelitian ini menunjukan bahwa Digital Dashboard yang baik harus dapat merepresentasikan data yang padat dengan tampilan yang efisien, menarik dan mudah untuk dimengerti. Penelitian ini juga menyatakan bahwa Digital Dashboard yang baik dapat meningkatkan efektifitas eksekutif perusahaan dalam proses pengambilan keputusan. This study discusses the design of the Digital Dashboard System on PT XYZ and its impact on the company in terms of decision making. Digital Dashboard is designed to provide sensitivity analysis of financial performance of PT XYZ's income statement. In this study, the Digital Dashboard design process starts from the identification of variables, identification of user requirements, designing the user interface to the testing process. The results of this study indicate that the good Digital Dashboard should be able to represent the solid data with the efficient view, attractive and easy to understand. The study also states that the good Digital Dashboard can improve the effectiveness of corporate executives in decision-making process.


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