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An Application of the Integrated IBA-TOPSIS Model in Supplier Selection

An Application of the Integrated IBA-TOPSIS Model in Supplier Selection

Ksenija Mandić, Boris Delibašić, Dragan Radojević
Copyright: © 2015 |Volume: 7 |Issue: 1 |Pages: 16
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466677210|DOI: 10.4018/ijdsst.2015010102
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MLA

Mandić, Ksenija, et al. "An Application of the Integrated IBA-TOPSIS Model in Supplier Selection." IJDSST vol.7, no.1 2015: pp.15-30. http://doi.org/10.4018/ijdsst.2015010102

APA

Mandić, K., Delibašić, B., & Radojević, D. (2015). An Application of the Integrated IBA-TOPSIS Model in Supplier Selection. International Journal of Decision Support System Technology (IJDSST), 7(1), 15-30. http://doi.org/10.4018/ijdsst.2015010102

Chicago

Mandić, Ksenija, Boris Delibašić, and Dragan Radojević. "An Application of the Integrated IBA-TOPSIS Model in Supplier Selection," International Journal of Decision Support System Technology (IJDSST) 7, no.1: 15-30. http://doi.org/10.4018/ijdsst.2015010102

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Abstract

The supplier selection process attracted a lot of attention in the business management literature. This process takes into consideration several quantitative and qualitative variables and is usually modeled as a multi-attribute decision making (MADM) problem. A recognized shortcoming in the literature of classical MADM methods is that they don't permit the identification of interdependencies among attributes. Therefore, the aim of this study is to propose a model for selecting suppliers of telecommunications equipment that includes the interaction between attributes. This interaction can model the hidden knowledge needed for efficient decision-making. To model interdependencies among attributes the authors use a recently proposed consistent fuzzy logic, i.e. interpolative Boolean algebra (IBA). For alternatives ranking they use the classical MADM method TOPSIS. The proposed model was evaluated on a real-life application. The conclusion is that decision makers were able to integrate their reasoning into the MADM model using interpolative Boolean algebra.

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