A generic multi-attribute analysis system

Jiménez, Antonio; Ríos-Insúa, Sixto; Mateos, Alfonso

doi:10.1016/j.cor.2004.09.003

Cited by 48 publications

(29 citation statements)

References 31 publications

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“…This approach puts less demand on the decision-maker as individual differences in importances and judgments can be represented by value intervals [20].…”

Section: Methods For Eliciting Weights In Mcdamentioning

confidence: 99%

“…In some decision analysis applications, preferential uncertainties and incomplete information is handled by using intervals, cf., e.g., [18][19][20], where a range of possible values is represented by an interval. This approach puts less demand on the decision-maker as individual differences in importances and judgments can be represented by value intervals [20].…”

Section: Methods For Eliciting Weights In Mcdamentioning

confidence: 99%

See 1 more Smart Citation

Employing Cardinal Rank Ordering of Criteria in Multi-Criteria Decision Analysis

Riabacke¹,

Danielson²,

Larsson³

et al. 2012

Uncertainty Modeling in Knowledge Engineering and Decision Making

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The elicitation of preference information in multi-criteria decision analysis (MCDA) processes and the lack of practical means supporting it is a significant problem in real-life applications of MCDA. The issues at hand are problematical in a multitude of ways, but some of these issues may be remedied by accepting weaker input statements from decision-makers than what is most commonly needed, yet being able to utilize these statements for decision evaluation. In this paper, we propose a fast and practically useful weight elicitation method, which builds on the ideas of rank-order methods, but in addition take imprecise cardinal information into account.

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“…This approach puts less demand on the decision-maker as individual differences in importances and judgments can be represented by value intervals [20].…”

Section: Methods For Eliciting Weights In Mcdamentioning

confidence: 99%

Section: Methods For Eliciting Weights In Mcdamentioning

confidence: 99%

Employing Cardinal Rank Ordering of Criteria in Multi-Criteria Decision Analysis

Riabacke¹,

Danielson²,

Larsson³

et al. 2012

Uncertainty Modeling in Knowledge Engineering and Decision Making

View full text Add to dashboard Cite

show abstract

“…3, output by means of the GMAA decision support system (http://www.dia.fi.upm.es/~ajimenez/GMAA), see e.g. Jiménez et al (2003Jiménez et al ( ), 2006a.…”

Section: An Examplementioning

confidence: 99%

A Group Decision-Making Methodology with Incomplete Individual Beliefs Applied to e-Democracy

2014

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We consider the situation where there are several alternatives for investing a quantity of money to achieve a set of objectives. The choice of which alternative to apply depends on how citizens and political representatives perceive that such objectives should be achieved. All citizens with the right to vote can express their preferences in the decision-making process. These preferences may be incomplete. Political representatives represent the citizens who have not taken part in the decision-making process. The weight corresponding to political representatives depends on the number of citizens that have intervened in the decision-making process. The methodology we propose needs the participants to specify for each alternative how they rate the different attributes and the relative importance of attributes. On the basis of this information an expected utility interval is output for each alternative. To do this, an evidential reasoning approach is applied. This approach improves the insightfulness and rationality of the decision-making process using a belief decision matrix for problem modeling and the Dempster-Shafer theory of evidence for attribute aggregation. Finally, we propose using the distances of each expected utility interval from the maximum and the minimum utilities to rank the alternative set. The basic idea is that an alternative is ranked first if its distance to the maximum utility is the smallest, and its distance to the minimum utility is the greatest. If only one of these conditions is satisfied, a distance ratio is then used.A. Mateos · A. Jiménez-Martín (B) · S. Ríos-Insua

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“…The Generic Multi-Attribute Analysis (GMAA) decision support system provides two procedures for assessing component utilities (Jiménez et al, 2006): directly constructing a piecewise linear utility function by providing the best and the worst attribute values and up to three intermediate values with their respective imprecise utilities; or on the basis of indifference judgments between lotteries and sure amounts. In both cases, the system permits value intervals to be specified as responses to the probability questions the DM is asked, which leads to fuzzy component utilities, see Fig.3.…”

Section: Elicitation Of Preferencesmentioning

confidence: 99%

“…Weights representing the relative importance of criteria in the objective hierarchy have also to be elicited. We use a fuzzy adaptation of the procedure included in the GMAA system for eliciting weights based on trade-offs (Jiménez et al, 2006), in which the elicited individual has to make indifference judgments between lotteries and multiple sure amounts, permitting value intervals as responses. A direct assignment is also allowed by the use of weight intervals (rectangular fuzzy numbers) or using a fuzzy linguistic scale.…”

Section: Elicitation Of Preferencesmentioning

confidence: 99%

Fuzzy MCDA for remediation of a Uranium tailing

Pérez-Sánchez¹,

Jiménez²,

Mateos³

et al. 2014

Uranium - Past and Future Challenges

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Abstract. The Pridneprovsky Chemical Plant was a largest uranium processing enterprises, producing a huge amount of uranium residues. The Zapadnoe tailings site contains the majority of these residues. We propose a theoretical framework based on Multi-Criteria Decision Analysis and fuzzy logic to analyse different remediation alternatives for the Zapadnoe tailings, in which potentially conflicting economic, radiological, social and environmental objectives are simultaneously taken into account. An objective hierarchy is built that includes all the relevant aspects. Fuzzy rather than precise values are proposed for use to evaluate remediation alternatives against the different criteria and to quantify preferences, such as the weights representing the relative importance of criteria identified in the objective hierarchy. Finally, it is proposed that remediation alternatives should be evaluated by means of a fuzzy additive multi-attribute utility function and ranked on the basis of the respective trapezoidal fuzzy number representing their overall utility.

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A generic multi-attribute analysis system

Cited by 48 publications

References 31 publications

Employing Cardinal Rank Ordering of Criteria in Multi-Criteria Decision Analysis

Employing Cardinal Rank Ordering of Criteria in Multi-Criteria Decision Analysis

A Group Decision-Making Methodology with Incomplete Individual Beliefs Applied to e-Democracy

Fuzzy MCDA for remediation of a Uranium tailing

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