Inverse optimization for probabilistic programming problem to minimize the value of poverty measure

2020 ◽  
Vol 15 (4) ◽  
pp. 171-180
Author(s):  
Nagwa Mohammed Albehery
Keyword(s):  
Programming Problem ◽  
Inverse Optimization ◽  
Probabilistic Programming ◽  
Poverty Measure

scholarly journals Laplace Distribution And Probabilistic (bi) In Linear Programming Model

2011 ◽  
Vol 17 (61) ◽  
pp. 20
Author(s):  
Ali Khaleel Al-zubidi
Keyword(s):  
Linear Programming ◽  
Nonlinear Programming ◽  
Programming Problem ◽  
Programming Model ◽  
Random Variable ◽  
Laplace Distribution ◽  
Probabilistic Programming ◽  
Economic Agents ◽  
Specification Errors ◽  
Nonlinear Programming Model

The theory of probabilistic programming  may be conceived in several different ways. As a method of programming it analyses the implications of probabilistic variations in the parameter space of linear or nonlinear programming model. The generating mechanism of such probabilistic variations in the economic models may be due to incomplete information about changes in demand, pro­duction and technology, specification errors about the econometric relations presumed for different economic agents, uncertainty of various sorts and the consequences of imperfect aggregation or disaggregating of economic variables. In this Research we discuss the probabilistic programming problem when the coefficient bi is random variable with given Laplace distribution.

Multi-objective bilevel fuzzy probabilistic programming problem

OPSEARCH ◽  
2017 ◽  
Vol 54 (3) ◽  
pp. 475-504 ◽  
Author(s):  
N. Ranarahu ◽  
J. K. Dash ◽  
S. Acharya
Keyword(s):  
Programming Problem ◽  
Probabilistic Programming ◽  
Multi Objective

Solving multi-objective fuzzy probabilistic programming problem

2014 ◽  
Vol 26 (2) ◽  
pp. 935-948 ◽  
Author(s):  
S. Acharya ◽  
N. Ranarahu ◽  
J.K. Dash ◽  
M.M. Acharya
Keyword(s):  
Programming Problem ◽  
Probabilistic Programming ◽  
Multi Objective
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