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Use of projective and scaling algorithm to solve multi-objective fuzzy linear programming problems

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Bibliographische Detailangaben
Titel:	Use of projective and scaling algorithm to solve multi-objective fuzzy linear programming problems
Autoren:	Biswal, M. P.
Verlagsinformationen:	International Fuzzy Mathematics Institute, Los Angeles, CA
Schlagwörter:	multi-objective fuzzy linear programming, Linear programming, projective algorithm, Fuzzy and other nonstochastic uncertainty mathematical programming, scaling algorithm, Multi-objective and goal programming, fuzzy programming
Beschreibung:	Summary: Projective and scaling algorithm have been used to solve multi-objective fuzzy linear programming problems. The main steps of both the algorithms to solve a linear programming problem are presented and the advantages of the algorithms are analyzed. Then the fuzzy programming algorithm to solve a multi-objective linear programming problem is presented. By considering a numerical example solution procedure is discussed. Finally, a comparison with simplex algorithm and interior point algorithm is presented.
Publikationsart:	Article
Dateibeschreibung:	application/xml
Zugangs-URL:	https://zbmath.org/1066616
Dokumentencode:	edsair.c2b0b933574d..b0c2ec76f1797be577ce61fa8369966f
Datenbank:	OpenAIRE

Beschreibung
Abstract:	Summary: Projective and scaling algorithm have been used to solve multi-objective fuzzy linear programming problems. The main steps of both the algorithms to solve a linear programming problem are presented and the advantages of the algorithms are analyzed. Then the fuzzy programming algorithm to solve a multi-objective linear programming problem is presented. By considering a numerical example solution procedure is discussed. Finally, a comparison with simplex algorithm and interior point algorithm is presented.