A new method for risk analysis of vaccines

Vaccine ◽  
1999 ◽  
Vol 17 (19) ◽  
pp. 2335 ◽  
Author(s):  
J Poirriez
Keyword(s):  
2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Rasoul Saneifard ◽  
Rahim Saneifard

This paper presents a new method for evaluating the efficiency of school preceptors based on fuzzy number arithmetic operations. It uses fuzzy numbers to represent fuzzy grades. The fuzzy weights of criteria are automatically generated from the opinions of evaluators. The simplified fuzzy number arithmetic operations are used for calculating the average of fuzzy numbers. It can evaluate the efficiency of school preceptors in a more flexible and more intelligent manner.


1998 ◽  
Author(s):  
Lasse Berg Andersen ◽  
Gunnar Veire ◽  
Borgar Rokke

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Handan Akyar

Ordering and ranking fuzzy numbers and their comparisons play a significant role in decision-making problems such as social and economic systems, forecasting, optimization, and risk analysis problems. In this paper, a new method for ordering triangular fuzzy numbers using the Nagel point of a triangle is presented. With the aid of the proposed method, reasonable properties of ordering fuzzy numbers are verified. Certain comparative examples are given to illustrate the advantages of the new method. Many papers have been devoted to studies on fuzzy ranking methods, but some of these studies have certain shortcomings. The proposed method overcomes the drawbacks of the existing methods in the literature. The suggested method can order triangular fuzzy numbers as well as crisp numbers and fuzzy numbers with the same centroid point. An application to the fuzzy risk analysis problem is given, based on the suggested ordering approach.


Author(s):  
EMRAH AKYAR ◽  
HANDAN AKYAR ◽  
SERKAN ALİ DÜZCE

The ranking and comparing of fuzzy numbers have important practical uses, such as in risk analysis problems, decision-making, optimization, forecasting, socioeconomic systems, control and certain other fuzzy application systems. Several methods for ranking fuzzy numbers have been widely-discussed though most of them have shortcomings. In this paper, we present a new method for ranking triangular fuzzy numbers based on their incenter and inradius. The proposed method is much simpler and more efficient than other methods in the literature. Some comparative examples are also given to illustrate the advantages of the proposed method.


Author(s):  
Ovidiu Cretu ◽  
Vlad Cretu ◽  
Terry Berends ◽  
Robert Stewart

The project cost and schedule estimate is a very subtle effort that needs to be repeated throughout the entire project’s life. The relatively new method of including risk events into the project cost estimate makes this effort more sensitive to subtleness. The authors have noticed during their work with other professionals that it is a tendency to make the processes of cost risk analysis (Risk Based Estimate (RBE)) more complicated than they should be. The authors call this tendency as “professional sophistication” when the RBE includes too many activities, too many uncertainties, and too many risk events. The “professional sophistication” usually is detrimental to the entire cost and schedule risk analysis and it constitutes a significant source of the analysis’ failure. The paper presents few cases when so called “professional sophistication” led to the initial analysis failure and if not caught in time to the project cost and schedule misrepresentation. The paper presents the reasons why the “Keep It Simple Smarty (KISS)” principle is critical for a robust and reliable cost and schedule risk analysis. The papers evaluate the impact of having too many variables included into RBE. It makes recommendation about the optimum number of variable that may be incorporated in the cost risk analysis. The ultimate recommendation is about being sure that the Risk Based Estimate includes only the uncertainties or risk events that may change significant the project cost or schedule.


Author(s):  
J. Lapière ◽  
C. Christen ◽  
G. Kerouani-Lafaye ◽  
A. Monard ◽  
F. Turcry ◽  
...  

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