This paper deal with a goal programming (GP) model with no preassigned deterministic rankings for the goals. The priority ranking in this case depends on the state of nature, assumed to be a random variable. The Bayesian approach is used to obtain the nondominated set of rankings for the goals.
Lee, S., & Mohamed, R. (1991). A Bayesian Approach for Determining the Probabilistic Priority Structure in Goal Programming. The Egyptian Statistical Journal, 35(1), 163-174. doi: 10.21608/esju.1991.315003
MLA
Sang M. Lee; Ramadan Hamed Mohamed. "A Bayesian Approach for Determining the Probabilistic Priority Structure in Goal Programming", The Egyptian Statistical Journal, 35, 1, 1991, 163-174. doi: 10.21608/esju.1991.315003
HARVARD
Lee, S., Mohamed, R. (1991). 'A Bayesian Approach for Determining the Probabilistic Priority Structure in Goal Programming', The Egyptian Statistical Journal, 35(1), pp. 163-174. doi: 10.21608/esju.1991.315003
VANCOUVER
Lee, S., Mohamed, R. A Bayesian Approach for Determining the Probabilistic Priority Structure in Goal Programming. The Egyptian Statistical Journal, 1991; 35(1): 163-174. doi: 10.21608/esju.1991.315003
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