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Qualitative multicriteria methods for fuzzy evaluation problems: an illustration of economic-ecological evaluation

Article Abstract:

A discrete multicriteria evaluation model was developed to provide an evaluation method that accounts for mixed qualitative and quantitative information. The model is especially useful for economic-ecological modeling of compound environmental systems. Evaluations provided by the model may either be crisp, stochastic or fuzzy measurements of the performance of an alternative 'a' with respect to a criterion 'g.' The problem of standardizing the mixed evaluations and the problem of comparing fuzzy numbers are addressed. An illustrative numerical example is also presented.

Author: Nijkamp, P., Munda, G., Rietveld, P.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Multiple criteria decision making

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An exact algorithm for the fuzzy p-median problem

Article Abstract:

A fuzzy version of the classical p-median problem is presented. A fuzzy set of constraints are taken into account to enable decision makers to consider account solutions that offer substantially reduced costs by leaving a part of the demand uncovered. To solve the problem, an alternative enumeration algorithm based on S.L. Hakimi's works is proposed and compared the crisp and the fuzzy method by means of an example consisting a 2-median problem in the six-vertex network.

Author: Canos, M.J., Ivorra, C., Liern, V.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1999
Linear programming, Fuzzy algorithms

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Using degree of consensus in two-level fuzzy pattern recognition

Article Abstract:

A two-level pattern recognition scheme was developed to increase the classification accuracy of automatic classifiers. The scheme implements various classification rules at the second level based on the degree of consensus among first-level decision-makers. The scheme was used to examine real data from aviation medicine and showed an anticipated increase in the accuracy of classification.

Author: Kuncheva, Ludmila I.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Automatic classification

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Subjects list: Models, Fuzzy logic, Fuzzy systems
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