The critical behaviour of the long-range Potts chain from the largest cluster probability distribution

2002 ◽  
Vol 314 (1-4) ◽  
pp. 448-453 ◽  
Author(s):  
Katarina Uzelac ◽  
Zvonko Glumac
Keyword(s):  
Probability Distribution ◽  
Long Range ◽  
Critical Behaviour ◽  
Cluster Probability ◽  
Potts Chain

scholarly journals The short-time critical behaviour of the Ginzburg-Landau model with long-range interaction

2000 ◽  
Vol 18 (2) ◽  
pp. 289-296 ◽  
Author(s):  
Y. Chen ◽  
S.H. Guo ◽  
Z.B. Li ◽  
S. Marculescu ◽  
L. Schülke
Keyword(s):  
Long Range ◽  
Critical Behaviour ◽  
Range Interaction ◽  
Ginzburg Landau ◽  
Landau Model ◽  
Long Range Interaction ◽  
Time Critical ◽  
Short Time

scholarly journals Hybrid Method For Forecasting A Steel Mill's Sales

2011 ◽  
Vol 5 (4) ◽  
Author(s):  
Bogdan Rebiasz
Keyword(s):  
Probability Distribution ◽  
Long Range ◽  
Delphi Method ◽  
Fuzzy Number ◽  
Building Materials ◽  
Structural Models ◽  
Triangular Fuzzy Number ◽  
Developmental Trends ◽  
Fuzzy Delphi Method ◽  
Fuzzy Delphi

This paper presents a proposal of long range steel mill's sales forecasting method. It can be also used in other sectors of steel industry, and (after minor modifications) in enterprises operating in a power industry, building materials industry, plastics industry etc. Heuristic methods are often used in long range forecasting. In the proposed method few parameters are predicted with fuzzy Delphi method. It results in the forecasts in form of fuzzy triangular numbers. Transformation of possibility distribution, generated by fuzzy number, into a probability distribution enables to integrate forecasts obtained from fuzzy Delphi method with those prepared with structural models and developmental trends models. A computer simulation is used to determine sales forecast's expected value and probability distribution. In case of structural models and developmental trends models a simulation with re-estimation has been used. The method presented in this paper is used to generate random numbers from a set determined by triangular fuzzy number.

Sign in / Sign up

Export Citation Format

Share Document