TY - GEN
T1 - Fuzzy goal programming for multi-level multi-objective problem
T2 - 2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011
AU - Arbaiy, Nureize
AU - Watada, Junzo
PY - 2011
Y1 - 2011
N2 - The coordination of decision authority is noteworthy especially in a complex multi-level structured organization, which faces multi-objective problems to achieve overall organization targets. However, the standard formulation of mathematical programming problems assumes that a single decision maker made the decisions. Nevertheless it should be appropriate to establish the formulations of mathematical models based on multi-level programming method embracing multiple objectives. Yet, it is realized that sometimes estimating the coefficients of objective functions in the multi-objective model are difficult when the statistical data contain random and fuzzy information. Hence, this paper proposes a fuzzy goal programming additive model, to solve a multi-level multi-objective problem in a fuzzy environment, which can attain a satisfaction solution. A numerical example of production planning problem illustrates the proposed solution approach and highlights its advantages that consider the inherent uncertainties in developing the multi-level multi-objective model.
AB - The coordination of decision authority is noteworthy especially in a complex multi-level structured organization, which faces multi-objective problems to achieve overall organization targets. However, the standard formulation of mathematical programming problems assumes that a single decision maker made the decisions. Nevertheless it should be appropriate to establish the formulations of mathematical models based on multi-level programming method embracing multiple objectives. Yet, it is realized that sometimes estimating the coefficients of objective functions in the multi-objective model are difficult when the statistical data contain random and fuzzy information. Hence, this paper proposes a fuzzy goal programming additive model, to solve a multi-level multi-objective problem in a fuzzy environment, which can attain a satisfaction solution. A numerical example of production planning problem illustrates the proposed solution approach and highlights its advantages that consider the inherent uncertainties in developing the multi-level multi-objective model.
KW - additive model
KW - fuzzy goal programming
KW - Multi-level
KW - multi-objective problem
UR - http://www.scopus.com/inward/record.url?scp=79960367730&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960367730&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22191-0_7
DO - 10.1007/978-3-642-22191-0_7
M3 - Conference contribution
AN - SCOPUS:79960367730
SN - 9783642221903
VL - 180 CCIS
T3 - Communications in Computer and Information Science
SP - 81
EP - 95
BT - Communications in Computer and Information Science
Y2 - 27 June 2011 through 29 June 2011
ER -