Open AccessApproaches to solving the problem of fuzzy parametric programming in weakly structured objects
Author(s) -
Dilnoz Muhamediyeva,
N. A. Niyozmatova
Publication year - 2019
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 - 10.1088/1742-6596/1260/10/102011
Subject(s) - parametric programming , mathematical optimization , fuzzy logic , parametric statistics , fuzzy set operations , linear programming , mathematics , fuzzy number , fuzzy classification , computer science , fuzzy mathematics , fuzzy set , artificial intelligence , statistics
The article discusses approaches to solving parametric programming problems with fuzzy initial information, in the case when the constraints and the objective function depend on many parameters. The paper considers an approach in which parameters can be expressed in a more general form of fuzzy sets of their possible values. In this way, we get a new type of mathematical optimization problems containing fuzzy parameters. In this chapter, the consideration of linear optimization problems based on this approach is the essence of fuzzy linear programming.