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

Ksenija Mandić, Boris Delibašić and Dragan Radojević
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Ksenija Mandić: Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
Boris Delibašić: Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
Dragan Radojević: Mihajlo Pupin Institute, Belgrade, Serbia

International Journal of Decision Support System Technology (IJDSST), 2015, vol. 7, issue 1, 15-30

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:7:y:2015:i:1:p:15-30

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