Treffer: Interactive fuzzy stochastic multi-level 0-1 programming using tabu search and probability maximization

Title:
Interactive fuzzy stochastic multi-level 0-1 programming using tabu search and probability maximization
Authors:
SAKAWA, Masatoshi, MATSUI, Takeshi
Source:
Expert systems with applications. 41(6):2957-2963
Publisher Information:
Amsterdam: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, 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, Programmation mathématique, Mathematical programming, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Approche déterministe, Deterministic approach, Enfoque determinista, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Décision floue, Fuzzy decision, Decisión borrosa, Fonction objectif, Objective function, Función objetivo, Jugement, Judgment, Juicio, Logique floue, Fuzzy logic, Lógica difusa, Mise à jour, Updating, Actualización, Optimisation sous contrainte, Constrained optimization, Optimización con restricción, Poursuite modèle, Model following, Seguimiento modelo, Prise de décision, Decision making, Toma decision, Programmation floue, Fuzzy programming, Programación difusa, Programmation interactive, Interactive programming, Programmation stochastique, Stochastic programming, Programación estocástica, Programmation zero un, Zero one programming, Programmacion cero uno, Recherche tabou, Tabu search, Búsqueda tabú, Résolution problème, Problem solving, Resolución problema, Système n niveaux, Multilevel system, Sistema n niveles, Variable aléatoire, Random variable, Variable aléatoria, 0-1 Programming, Interactive fuzzy programming, Multi-level programming, Probability maximization, Random variables
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Faculty of Engineering, Hiroshima University, Higashi-Hiroshima 739-8527, Japan
ISSN:
0957-4174
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28296099
Rights:
Copyright 2015 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:
Computer science; theoretical automation; systems

Operational research. Management
Accession Number:
edscal.28296099
Database:
PASCAL Archive

Weitere Informationen

In this paper, we consider interactive fuzzy programming for multi-level 0-1 programming problems involving random variable coefficients both in objective functions and constraints. Following the probability maximization model together with the concept of chance constraints, the formulated stochastic multi-level 0-1 programming problems are transformed into deterministic ones. Taking into account vagueness of judgments of the decision makers, we present interactive fuzzy programming. In the proposed interactive method, after determining the fuzzy goals of the decision makers at all levels, a satisfactory solution is derived efficiently by updating satisfactory levels of the decision makers with considerations of overall satisfactory balance among all levels. For solving the transformed deterministic problems efficiently, we also introduce novel tabu search for general 0-1 programming problems. A numerical example for a three-level 0-1 programming problem is provided to illustrate the proposed method.