Application of fuzzy analysis in simulation of construction processes

2010 ◽  
pp. 401-406 ◽  
Author(s):  
U Schirwitz ◽  
U Reuter ◽  
R Scherer
Keyword(s):  
Fuzzy Analysis

Derivational Suffix Productivity in Persian: A Fuzzy Analysis

2021 ◽  
pp. 1-25
Author(s):  
Seyyedeh Zohreh Aftabi ◽  
Abbas Ali Ahangar ◽  
Hassan Mishmast Nehi
Keyword(s):  
Fuzzy Analysis ◽  
Derivational Suffix

Fuzzy Analysis of ESP System Performance

2009 ◽  
Author(s):  
Donald G. Thornhill ◽  
David Zhu
Keyword(s):  
System Performance ◽  
Fuzzy Analysis

Studying the influence of cognitive load on driver's performances by a Fuzzy analysis of Lane Keeping in a drive simulation.

2013 ◽  
Vol 46 (21) ◽  
pp. 151-156 ◽  
Author(s):  
P. Sena ◽  
M. d'Amore ◽  
M. Pappalardo ◽  
A. Pellegrino ◽  
A. Fiorentino ◽  
...  
Keyword(s):  
Cognitive Load ◽  
Fuzzy Analysis ◽  
Lane Keeping

scholarly journals A model-based fuzzy analysis of questionnaires

2018 ◽  
Vol 28 (2) ◽  
pp. 187-215 ◽  
Author(s):  
E. Di Nardo ◽  
R. Simone
Keyword(s):  
Fuzzy Analysis ◽  
Model Based

scholarly journals Soil water management problems using fuzzy arithmetic

2013 ◽  
Vol 11 (4) ◽  
pp. 556-565
Keyword(s):  
Hydraulic Conductivity ◽  
Uncertain Data ◽  
Triangular Fuzzy Number ◽  
Effective Porosity ◽  
Specific Yield ◽  
Fuzzy Arithmetic ◽  
Two Dimensional ◽  
Fuzzy Analysis ◽  
Management Problems ◽  
Α Level

Drainage management problems are usually very hard to simulate due to the uncertainty of the hydraulic parameters involved. Fuzzy analysis is one of the available tools that can be used for such problems, involving uncertain data. A fuzzy analysis approach usually involves the consideration of several α-level cuts and an analytical approach or an explicit scheme approach for the PDE's discretization. Several application examples of this approach are listed in the literature, including uncertainty in hydraulic conductivity, specific yield, transmissivities, porosities, dispersivities, and deoxygenation rate coefficient. A methodology for the simulation of drainage problem having vague values of hydraulic parameters is introduced in this paper, and an analytical solution for a two-dimensional drainage application is presented. The two-dimensional problem of drainage is handled using fuzzy analysis by defining the hydraulic conductivity K as a triangular fuzzy number (TFN). The method of interval analysis is used in all the α-level cut examples. A solution is obtained using eleven α-level cuts and also solutions for two, three, and five α-level cuts are presented. Trials for different values of effective porosity are also performed. Finally conclusions on the necessary number of α-cuts utilized for drainage problems are drawn.

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