Validation of multicriteria analysis models

Qureshi, Muhammad Ejaz; Harrison, Steve; Wegener, Malcolm K.

doi:10.1016/s0308-521x(99)00059-1

Cited by 92 publications

(55 citation statements)

References 8 publications

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“…Following identification and selection of stakeholders, the approach is used to uncover the preferences, views, and opinions of the stakeholders regarding the resources in question and subsequently incorporate this information in decision-making processes (Tompkins et al 2008). Multicriteria analysis, a well-recognized approach used for weighing impacts of different natural resource management policy options, has also been used in stakeholder inventory and analysis (Qureshi et al 1999). Similar to scenario-based stakeholder engagement, this approach enables researchers to obtain important information on stakeholder values, views, and preferences concerning complex environmental decisions (Qureshi et al 1999, Kiker et al 2005.…”

Section: The Social-ecological Inventory Toolmentioning

confidence: 99%

Priming the Governance System for Climate Change Adaptation: The Application of a Social-Ecological Inventory to Engage Actors in Niagara, Canada

Baird¹,

Plummer²,

Pickering³

2014

E&S

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Section: The Social-ecological Inventory Toolmentioning

confidence: 99%

Priming the Governance System for Climate Change Adaptation: The Application of a Social-Ecological Inventory to Engage Actors in Niagara, Canada

Baird¹,

Plummer²,

Pickering³

2014

E&S

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“…The procedure employed was to compare the real situation (observed) with the data simulated by the models for the current scenario. This type of comparison is the most common method of validating models [Qureshi et al, 1999]. Implementing this technique demonstrated that the deviations in the objectives and the decision variable spaces were sufficiently small to permit us to regard the model as a good approximation to the actual decision-making process in all clusters.…”

Section: Model Validationmentioning

confidence: 99%

Water pricing: Analysis of differential impacts on heterogeneous farmers

Gómez‐Limón

Riesgo²

2004

Water Resources Research

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[1] European water policy requires all EU Member States to implement volumetric water pricing at rates that roughly cover the total costs of providing water services. The objective of this paper is to develop a methodology that will enable us to analyze the differential impact that a water pricing policy for irrigation would have on heterogeneous farmers of an irrigated area. For this purpose, multiattribute utility theory (MAUT) mathematical programming models were used. The methodology is implemented on a representative area in the Duero Valley in Spain. Our results show the usefulness of differential analysis in evaluating the impact of a water pricing policy. From them we observe significant differences in the evolution of agricultural incomes and estimate the cost recovery by the state, the demand for farm labor, and the consumption of agrochemicals resulting from the rise in water price between the various groups of farmers established within the analyzed irrigated area.

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“…However, validation is a crucial point in order to build sufficient confidence in the model for it to be used for practical purposes. Model validation can be divided into three components -verification, validation and sensitivity analysis -according to Qureshi et al (1999) and Harrison (1991). Verification refers to building the model correctly (O'Keefe et al, 1991).…”

Section: Introductionmentioning

confidence: 99%

“…Validation refers to building the correct model (O'Keefe et al, 1991). Most attempts at model validation check agreement between the model and real system outputs or between the model and expert opinions (Qureshi et al, 1999). Sensitivity analysis examines the extent of variation in predicted performances when parameters are varied over some range of interest.…”

Section: Introductionmentioning

confidence: 99%

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Validation of a multi-criteria evaluation model for animal welfare

Martin¹,

Czycholl²,

Buxadé

et al. 2017

Animal

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The aim of this paper was to validate an alternative multi-criteria evaluation system to assess animal welfare on farms based on the Welfare Quality ® (WQ) project, using an example of welfare assessment of growing pigs. This alternative methodology aimed to be more transparent for stakeholders and more flexible than the methodology proposed by WQ. The WQ assessment protocol for growing pigs was implemented to collect data in different farms in Schleswig-Holstein, Germany. In total, 44 observations were carried out. The aggregation system proposed in the WQ protocol follows a three-step aggregation process. Measures are aggregated into criteria, criteria into principles and principles into an overall assessment. This study focussed on the first two steps of the aggregation. Multi-attribute utility theory (MAUT) was used to produce a value of welfare for each criterion and principle. The utility functions and the aggregation function were constructed in two separated steps. The MACBETH (Measuring Attractiveness by a Categorical-Based Evaluation Technique) method was used for utility function determination and the Choquet integral (CI) was used as an aggregation operator. The WQ decision-makers' preferences were fitted in order to construct the utility functions and to determine the CI parameters. The validation of the MAUT model was divided into two steps, first, the results of the model were compared with the results of the WQ project at criteria and principle level, and second, a sensitivity analysis of our model was carried out to demonstrate the relative importance of welfare measures in the different steps of the multi-criteria aggregation process. Using the MAUT, similar results were obtained to those obtained when applying the WQ protocol aggregation methods, both at criteria and principle level. Thus, this model could be implemented to produce an overall assessment of animal welfare in the context of the WQ protocol for growing pigs. Furthermore, this methodology could also be used as a framework in order to produce an overall assessment of welfare for other livestock species. Two main findings are obtained from the sensitivity analysis, first, a limited number of measures had a strong influence on improving or worsening the level of welfare at criteria level and second, the MAUT model was not very sensitive to an improvement in or a worsening of single welfare measures at principle level. The use of weighted sums and the conversion of disease measures into ordinal scores should be reconsidered.

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Validation of multicriteria analysis models

Cited by 92 publications

References 8 publications

Priming the Governance System for Climate Change Adaptation: The Application of a Social-Ecological Inventory to Engage Actors in Niagara, Canada

Priming the Governance System for Climate Change Adaptation: The Application of a Social-Ecological Inventory to Engage Actors in Niagara, Canada

Water pricing: Analysis of differential impacts on heterogeneous farmers

Validation of a multi-criteria evaluation model for animal welfare

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