Possibilistic linear programming problems involving normal random variables

被引：0

作者：

Barik S.K. ^{[1
]}

Biswal M.P. ^{[2
]}

机构：

[1] Department of Mathematics, KIIT University, Bhubaneswar

[2] Department of Mathematics, IIT Kharagpur, Kharagpur

来源：

International Journal of Fuzzy System Applications | 2016年 / 5卷 / 03期

关键词：

Fuzzy Programming Method; Multi-objective Linear Programming Problem; Normal Distribution; Possibilistic Linear Programming Problem; Triangular Possibility Distribution;

D O I：

10.4018/IJFSA.2016070101

中图分类号：

学科分类号：

摘要：

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 multiobjective mathematical programming problem and then solved by using fuzzy programming method. A numerical example is presented to illustrate the solution procedure and developed methodology. © 2016, IGI Global.

引用

页码：1 / 13

页数：12

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