Open AccessSolving logistics on the basis of fuzzy package
Author(s) -
Dilnoz Muhamediyeva,
Aziza Mirzaraxmedova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1901/1/012042
Subject(s) - node (physics) , computer science , base (topology) , class (philosophy) , fuzzy logic , basis (linear algebra) , fuzzy transportation , fuzzy set operations , fuzzy control system , set (abstract data type) , fuzzy rule , control (management) , neuro fuzzy , fuzzy set , data mining , artificial intelligence , mathematics , engineering , geometry , mathematical analysis , structural engineering , programming language
The article discusses an approach to solving a logistic problem based on fuzzy set theory. The classic fuzzy control module is developed at the node of the transport network, as well as when solving the problem of modeling the traffic control strategy in the network. An ambiguous rule base was developed for defining traffic control parameters at a transport network node, and rules were proposed for mapping a control parameter to a specific class and fuzzy rule base.