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Integral analysis method - IAM
DOI:10.1016/j.ejor.2007.10.001.png)
摘要
En 中文
This paper presents the theoretical foundations of the new integral analysis method (IAM), and its application to it facility location problem. This methodology integrates the cardinal and ordinal criteria of combinatorial stochastic optimization problems in four stages: definition of the problem, cardinal analysis, ordinal analysis and integration analysis. The method uses the concepts of stochastic multicriteria acceptability analysis (SMAA), Monte Carlo simulation, optimization techniques and elements of probability. The proposed method (IAM) was used to determine optimal locations for the retail stores of it Colombian coffee marketing company. (c) 2007 Elsevier B.V. All rights reserved.
Keyword:
Multiple criteria analysis
Multiple objective programming
Combinatorial optimization
Simulation
Integral analysis method
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期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
机构
引用论文
Decision-aid for discrete multiple criteria decision making problems with imprecise data具有不精确数据的离散多准则决策问题的决策辅助
A METHODOLOGY FOR SENSITIVITY ANALYSIS IN 3-CRITERIA PROBLEMS - A CASE-STUDY IN MUNICIPAL MANAGEMENT

