Possibilistic Linear Programming Problems involving Normal Random Variables

A new solution procedure of possibilistic linear programming problem is developed involving the right hand side parameters of the constraints as normal random variables with known means and variances and the objective function coefficients are considered as triangular possibility distribution. In or...

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Vydané v:International journal of fuzzy system applications Ročník 5; číslo 3; s. 1 - 13
Hlavní autori: Barik, Suresh Kumar, Biswal, M P
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hershey IGI Global 01.07.2016
Predmet:
Decision-making
Linear programming
Mathematical programming
Random variables
India
ISSN:2156-177X, 2156-1761
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Popis
Shrnutí:A new solution procedure of possibilistic linear programming problem is developed involving the right hand side parameters of the constraints as normal random variables with known means and variances and the objective function coefficients are considered as triangular possibility distribution. In order to solve the proposed problem, convert the problem into a crisp equivalent deterministic multi-objective mathematical programming problem and then solved by using fuzzy programming method. A numerical example is presented to illustrate the solution procedure and developed methodology.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2156-177X
2156-1761
DOI:10.4018/IJFSA.2016070101