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Fuzzy linear optimization.

Authors :
Fiedler, M.
Nedoma, J.
Rohn, J.
Zimmermann, K.
Ramík, J.
Source :
Linear Optimization Problems with Inexact Data; 2006, p117-164, 48p
Publication Year :
2006

Abstract

In this chapter we have proposed a new general approach to fuzzy single and multicriteria linear programming problems with fuzzy coefficients. A unifying concept of this approach is the concept of a fuzzy relation, particularly fuzzy extension of the inequality or equality relation and the concept of an aggregation operator. We have formulated the FLP problem, defined a feasible solution of the FLP problem and dealt with the problem of "optimal solution" of FLP problems. Two approaches have been introduced: the satisficing solution based on externalgoals modeled by fuzzy quantities, and the α-efficient (nondominated) solution. Then our interest has been focused on the problem of duality in FLP. Finally, we have also dealt with the multicriteria case. We have formulated a fuzzy multicriteria linear programming problem, defined a compromise solution and derived basic results. The chapter has been closed with a numerical example. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9780387326979
Database :
Supplemental Index
Journal :
Linear Optimization Problems with Inexact Data
Publication Type :
Book
Accession number :
32890474
Full Text :
https://doi.org/10.1007/0-387-32698-7_5