Multicriterion Decision Making with Depen ent Preferences

W. Stirling, R. Frost, M. Nokleby, Y. Luo
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引用次数: 10

Abstract

If preferential independence is assumed inappropriately when developing multicriterion search methods, biased results may occur. A new axiomatic approach to defining conditional preference orderings that naturally accounts for preferential dependencies is presented and illustrated. This approach applies both to scalar optimization techniques that identify a best solution and to evolutionary optimization approaches that approximate the Pareto frontier
具有独立偏好的多标准决策
如果在开发多准则搜索方法时不适当地假设优先独立性,可能会出现偏差结果。提出并说明了一种新的公理化方法来定义条件偏好顺序,该顺序自然地解释了偏好依赖性。这种方法既适用于确定最佳解决方案的标量优化技术,也适用于近似帕累托边界的进化优化方法
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