2012
DOI: 10.1016/j.cie.2012.03.010
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Maximum Bayesian entropy method for determining ordered weighted averaging operator weights

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Cited by 41 publications
(17 citation statements)
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“…Fuller and Majlender [9] used a Lagrange multipliers method to determine the optimal weighting vector in the constrained optimization problem. Many related studies have been conducted in recent years [4,18,28]. For example, Chang [1] combined the ordered weighted geometric averaging operator and the decision-making trial and evaluation laboratory approach for prioritization of failures in a product failure mode and effects analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Fuller and Majlender [9] used a Lagrange multipliers method to determine the optimal weighting vector in the constrained optimization problem. Many related studies have been conducted in recent years [4,18,28]. For example, Chang [1] combined the ordered weighted geometric averaging operator and the decision-making trial and evaluation laboratory approach for prioritization of failures in a product failure mode and effects analysis.…”
Section: Introductionmentioning
confidence: 99%
“…If we look at works on Entropy, we can see numerous works. Some of these works ( Yari & Chaji, 2012) studied Entropy method to select operator. (Abidin, Rusli, & Shariff, 2016) designed an internal security system based on an integrated Entropy-TOPSIS method.(L.…”
Section: Entropy Weight Methodsmentioning
confidence: 99%
“…To this end, this theory assumes that a decision maker has a subjective degree of optimism so that the decision weights can be determined. In the literature, there are many methods for determining the weights associated with OWAOs . With these decision weights, we can obtain the generalized expected utilities for all the acts, and we choose the act with the maximum one.…”
Section: Introductionmentioning
confidence: 99%