1997
DOI: 10.1111/j.1540-5915.1997.tb01306.x
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A Sensitivity Analysis Approach for Some Deterministic Multi‐Criteria Decision‐Making Methods*

Abstract: Often, data in multi-criteria decision making (MCDM) problems are imprecise and changeable. Therefore, an important step in many applications of MCDM is to perform a sensitivity analysis on the input data. This paper presents a methodology for performing a sensitivity analysis on the weights of the decision criteria and the performance values of the alternatives expressed in terms of the decision criteria. The proposed methodology is demonstrated on three widely used decision methods.These methods are the weig… Show more

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Cited by 433 publications
(313 citation statements)
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References 27 publications
(14 reference statements)
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“…We therefore analyze the behavior of our decision model regarding sustainability decisions in detail by performing a sensitivity analysis. This is a common method from decision-making theory and aims on examining how sensitive a model's results are to changes in the input variables (Kim et al 2009;Pannell 1997;Saltelli et al 2008;Triantaphyllou and Sánchez 1997).…”
Section: Analysis Of the Decision Model Behavior Conducting A Sensitimentioning
confidence: 99%
“…We therefore analyze the behavior of our decision model regarding sustainability decisions in detail by performing a sensitivity analysis. This is a common method from decision-making theory and aims on examining how sensitive a model's results are to changes in the input variables (Kim et al 2009;Pannell 1997;Saltelli et al 2008;Triantaphyllou and Sánchez 1997).…”
Section: Analysis Of the Decision Model Behavior Conducting A Sensitimentioning
confidence: 99%
“…Bunlara göreceli önem değerleri verildiği için, yöntemde bilginin olduğu kadar tecrübenin de büyük önemi vardır. Kullanılan kriterler nitel ve nicel olabilmektedir [2]- [5].…”
Section: Introductionunclassified
“…only dollars, or only seconds etc.) [13]. Concern over the use of weights that were not validated was mitigated by approaching the problem with AHP.…”
Section: Feasibility Studymentioning
confidence: 99%
“…Determining validated weights using AHP can be difficult. Consequently, the possibility exists that AHP does not truly representing the numerical "winner" [13,18]. As part of the AHP Method, a sensitivity analysis was performed.…”
Section: Identification Of Criteriamentioning
confidence: 99%