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Soft Computing

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06.09.2018 | Methodologies and Application

ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria

verfasst von: Ali Jahan, Edmundas Kazimieras Zavadskas

Erschienen in: Soft Computing | Ausgabe 1/2019

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Abstract

A majority of decision-making problems are accompanied by some kinds of predictions and uncertainties. Therefore, interval data are widely used instead of exact data. The elimination and choice expressing reality methods, referred to as ELECTRE, belong to the outranking methods. Despite their relative complexity, avoiding compensation between criteria is one of the main advantages of the ELECTRE methods. However, no version of ELECTRE methods has the capability to deal with both interval data and target-based criteria. Target-based criteria are applicable in many areas ranging from material selection to medical decision-making problems. Efficiency of the modified ELECTRE method (ELECTRE-IDAT) was examined through two challenging examples. Also, a sensitivity analysis was performed to show advantages of the ELECTRE-IDAT approach. Additionally, the concept of bounded criteria was explained and applicability of interval data as well as benefit, cost, and target criteria were described with a biomaterial selection problem.

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Titel: ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria
verfasst von: Ali Jahan
Edmundas Kazimieras Zavadskas
Publikationsdatum: 06.09.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 1/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-018-3501-6

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