当前位置: X-MOL 学术Appl. Soft Comput. › 论文详情
Application of random triangular and Gaussian type-2 fuzzy variable to solve fixed charge multi-item four dimensional transportation problem
Applied Soft Computing ( IF 5.472 ) Pub Date : 2020-07-29 , DOI: 10.1016/j.asoc.2020.106589
Sharmistha Halder Jana; Biswapati Jana

In this paper, two types of hybrid random type-2 uncertain variables such as random type-2 triangular and random type-2 Gaussian fuzzy variables are used to express the uncertain parameters in a four-dimensional transportation problem. Here selling price, purchasing costs, transportation costs, fixed charges, sources, demands, capacities of conveyances are considered as hybrid random type-2 uncertain parameters. The objective function of the proposed model is de-randomized using the expected value method and the constraints of the model are de-randomized using the probability chance constraint programming method. After that, the proposed model is de-fuzzified by CV based reduction technique. These two reduced crisp problems are solved by Generalized Reduced Gradient (GRG) technique using LINGO 14.0 software. The models are numerically illustrated. Some sensitivity analyses are also presented. Conventional solid (3D) and general (2D) transportation problems are derived as particular cases.

更新日期:2020-08-01

 

全部期刊列表>>
欢迎访问IOP中国网站
自然职场线上招聘会
GIANT
产业、创新与基础设施
自然科研线上培训服务
材料学研究精选
胸腔和胸部成像专题
屿渡论文,编辑服务
何川
苏昭铭
陈刚
姜涛
李闯创
李刚
北大
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
上海纽约大学
张健
陈芬儿
厦门大学
史大永
吉林大学
卓春祥
张昊
杨中悦
试剂库存
down
wechat
bug