A fuzzy outranking relation in multicriteria decision making

Martel, Jean‐Marc; d'Avignon, Gilles R.; Couillard, Jean

doi:10.1016/0377-2217(86)90090-1

Cited by 45 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many other hypotheses and means of defining the conditions for an outranking test could be imagined within the framework of OA2 (see, especiaIly, Paelinck, 1978;Roubens, 1982;Hinloopen et al, 1983;Brans et al, 1984;Martel et al , 1986;Matarazzo, 1986Matarazzo, , 1988Brans and Mareschal, 1990).…”

Section: Typical Outranking Testsmentioning

confidence: 99%

Multicriteria Methodology for Decision Aiding

Roy

1996

Nonconvex Optimization and Its Applications

1,427

794

View full text Add to dashboard Cite

Section: Typical Outranking Testsmentioning

confidence: 99%

Multicriteria Methodology for Decision Aiding

Roy

1996

Nonconvex Optimization and Its Applications

1,427

794

View full text Add to dashboard Cite

“…45 From the point of view of simplicity and originality, we will prefer Roy's, Brans et al's, and Siskos et al's approaches and will compare the results for the problem of prioritizing DRs. The form used for data input in FOuR is given in Figure 2.…”

Section: A Comparative Framework Based On Fuzzy Outranking Methods Inmentioning

confidence: 98%

Evaluation of design requirements using fuzzy outranking methods

Ertay

Kahraman

2007

Int. J. Intell. Syst.

View full text Add to dashboard Cite

To increase customer satisfaction, quality function deployment is used to translate customer needs into technical design requirements~DRs!. Determination of DRs for product development is very important because these requirements are the vital keys to successful products. The methods used to evaluate DRs in the literature can be categorized into multicriteria evaluation methods such as scoring methods, the analytic hierarchy method, analytic network process, and so forth. There are few papers using fuzzy multi-attribute outranking methods to evaluate DRs. This article aims to compare the results of three different fuzzy outranking methods to evaluate the DRs in the PVC windows industry. A sensitivity analysis is also made by using the software, FOuR.

show abstract

“…Martel and DÕAvignon (1982), Martel et al (1986), DÕAvignon and Vincke (1988) already employed this approach in stochastic models. We combine this concept with the approach based on stochastic dominance.…”

Section: Formulation Of the Problemmentioning

confidence: 97%

Preference and veto thresholds in multicriteria analysis based on stochastic dominance

Nowak

2004

European Journal of Operational Research

View full text Add to dashboard Cite

A fuzzy outranking relation in multicriteria decision making

Cited by 45 publications

References 11 publications

Multicriteria Methodology for Decision Aiding

Multicriteria Methodology for Decision Aiding

Evaluation of design requirements using fuzzy outranking methods

Preference and veto thresholds in multicriteria analysis based on stochastic dominance

Contact Info

Product

Resources

About