Fuzzy Random Weighted Weber Problems in Facility Location | Zendy

Takeshi Uno | Zendy; Kosuke Kato | Zendy; Hideki Katagiri | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Fuzzy Random Weighted Weber Problems in Facility Location

Author(s) -

Takeshi Uno,

Kosuke Kato,

Hideki Katagiri

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.08.257

Subject(s) - vagueness , computer science , facility location problem , fuzzy logic , mathematical optimization , mathematics , artificial intelligence

This article considers facility location in a Weber problem with weights including both uncertainty and vagueness. By representing its weights as fuzzy random variables, it can be extended to a fuzzy random weighted Weber problem, and then formulated as a fuzzy random programming problem. By introducing possibility and necessity measures and chance constraints, the extended problem is reformulated to new two types of Weber problems. Based upon characteristics of facility location, theorem for solving the reformulated problems are shown

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research