Solving mathematical programming problems with OWA operators as objective functions

Author

Yager, Ronald R.

Author_Institution

Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA

Volume

3

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1441

Abstract

The ordered weighted averaging (OWA) operators are introduced and some of their properties described. Attention is then focused on the problem of maximizing an objective function which is of the form of an OWA aggregation of a group of variables that are interrelated and constrained by a collection of linear inequalities. It is shown how this problem can be modeled as a integer linear programming problem. Use is made of this procedure to provide a solution to fuzzy linear programming problems in which some linguistically proscribed number of the goals must be satisfied

Keywords

constraint theory; fuzzy set theory; linear programming; fuzzy linear programming; integer linear programming; linear inequalities; mathematical programming; objective function; objective functions; ordered weighted averaging operators; Aggregates; Educational institutions; Integer linear programming; Linear programming; Machine intelligence; Mathematical programming; Open wireless architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409869

Filename

409869