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Erschienen in: Soft Computing 12/2019

21.02.2018 | Methodologies and Application

Sorting retail locations in a large urban city by using ELECTRE TRI-C and trapezoidal fuzzy numbers

verfasst von: Javier Pereira, Elaine C. B. de Oliveira, Luiz F. A. M. Gomes, Renato M. Araújo

Erschienen in: Soft Computing | Ausgabe 12/2019

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Abstract

Selection of a retail location is a strategic decision-making problem that involves the long-term commitment of resources. However, very often managers look for several candidate locations that can be incorporated in a business plan. In this article, a case study developed in a large Brazilian company is presented where managers required to identify a set of interesting locations in a context of imprecise and qualitative information. ELECTRE TRI-C is applied, a multi-criteria decision analysis sorting method in which representative reference alternatives are used to model preference ordered categories, a priori. Trapezoidal fuzzy numbers (TrFNs) are used as input in ELECTRE TRI-C, which allows: (1) imprecision and uncertainty parameters to be set in a very transparent way; (2) in the case of qualitative criteria, to define a category by providing information about reference alternatives in the form of the membership degree of verbal values, a feature that was not available so far in this method; (3) the outranking indices to be calculated such that the rationale of assignment rules is preserved; (4) the proliferation of fuzzy numbers to evaluate alternatives to be avoided, thus reducing the cognitive effort of the decision maker. TrFNs obtained in a previous analysis are used in the case study, thereby showing the advantages of the approach.

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Fußnoten
1
This application is based on a real case study developed in Rio de Janeiro (Araújo 2015).
 
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Metadaten
Titel
Sorting retail locations in a large urban city by using ELECTRE TRI-C and trapezoidal fuzzy numbers
verfasst von
Javier Pereira
Elaine C. B. de Oliveira
Luiz F. A. M. Gomes
Renato M. Araújo
Publikationsdatum
21.02.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 12/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3068-2

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