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The Extension of MAIRCA Based on Fuzzy Number: Smart Supplier Selection

The Extension of MAIRCA Based on Fuzzy Number: Smart Supplier Selection
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Author(s): Hatice Kübra Özensel (Necmettin Erbakan University, Turkey)and Burak Efe (Necmettin Erbakan University, Turkey)
Copyright: 2024
Pages: 23
Source title: Big Data Quantification for Complex Decision-Making
Source Author(s)/Editor(s): Chao Zhang (Shanxi University, China)and Wentao Li (Southwest University, China)
DOI: 10.4018/979-8-3693-1582-8.ch007


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Supplier selection, which is one of the phases of supply chain management, was examined in this chapter. In the line of four expert opinions and literature review, four main criteria, including environmental, economic, social, and smart criteria, and 18 sub-criteria were evaluated in this study. An interval-valued q-rung orthopair fuzzy (IVqROF) number based MAIRCA (multi attributive ideal-real comparative analysis) method is proposed for the ranking of 5 alternative suppliers. In this chapter, fuzzy number was proposed for the MAIRCA method, but unlike the literature, IVqROF number was applied to the MAIRCA method. It has been seen that the IVqROF number, which is the extension of the q-rung orthopair fuzzy number obtained by developing the intuitionistic fuzzy number and the Pythagorean fuzzy number, provides an advantage in evaluating expert opinions. In addition, Industry 4.0 criteria were examined under the smart criterion and contributed to the supplier selection problem. The study examined the smart supplier selection problem of an automotive sub-industry company.

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