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

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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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Acknowledgements

This research project was supported by Islamic Azad University, Semnan Branch, with Grant No. 4046, and the author would like to show his grateful thanks for the close cooperation.

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  1. Department of Industrial Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran

    Ali Jahan

  2. Institute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Edmundas Kazimieras Zavadskas

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  1. Ali Jahan
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Correspondence to Ali Jahan.

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Communicated by V. Loia.

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Jahan, A., Zavadskas, E.K. ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria. Soft Comput 23, 129–143 (2019). https://doi.org/10.1007/s00500-018-3501-6

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