Treffer: Solving a multiobjective possibilistic problem through compromise programming

Title:
Solving a multiobjective possibilistic problem through compromise programming
Authors:
ARENAS PARRA, M, BILBAO TEROL, A, PEREZ GLADISH, B, RODRIGUEZ URIA, M. V
Source:
Scheduling in Computer and Manufacturing Systems. Bi-annual workshopEuropean journal of operational research. 164(3):748-759
Publisher Information:
Amsterdam: Elsevier, 2005.
Publication Year:
2005
Physical Description:
print, 22 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Analyse multicritère, Multicriteria analysis, Análisis multicriterio, Commande multimodèle, Multimodel control, Control multimodelo, Décision multiple, Multiple decision, Decisión múltiple, Logique floue, Fuzzy logic, Lógica difusa, Prise décision, Decision making, Toma decision, Programmation floue, Fuzzy programming, Programación difusa, Programmation linéaire, Linear programming, Programación lineal, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Système aide décision, Decision support system, Sistema ayuda decisíon, Loi possibilité, Compromise programming, Expected interval, Fuzzy number, Multiple criteria decision making, Possibility distribution
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dpto. Economia Cuantitativa, Facultad de Ciencias Económicas y Empresariales, Avda. del Cristo s/n, University of Oviedo, Oviedo, Spain
ISSN:
0377-2217
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16470639
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management
Accession Number:
edscal.16470639
Database:
PASCAL Archive

Weitere Informationen

Real decision problems usually consider several objectives that have parameters which are often given by the decision maker in an imprecise way. It is possible to handle these kinds of problems through multiple criteria models in terms of possibility theory. Here we propose a method for solving these kinds of models through a fuzzy compromise programming approach. To formulate a fuzzy compromise programming problem from a possibilistic multiobjective linear programming problem the fuzzy ideal solution concept is introduced. This concept is based on soft preference and indifference relationships and on canonical representation of fuzzy numbers by means of their α-cuts. The accuracy between the ideal solution and the objective values is evaluated handling the fuzzy parameters through their expected intervals and a definition of discrepancy between intervals is introduced in our analysis.