Abstract:

Supplier selection and evaluation is an important issue for organizations to cope with increasing competitive environment. Companies aim to meet customer expectations with selection of appropriate supplier. In this study, an integrated approach based on intuitionistic fuzzy sets is proposed for supplier selection and evaluation. In the proposed approach, uncertainties arising from discrepancies in decision-makers' perception are examined in detail with belonging and non-belonging degrees. This approach was applied to supplier selection and evaluations of a construction company. In practice, a mixed database was created by combining the subjective evaluations of decision makers based on economic criteria and current evaluation scores of the company. Supplies were sorted and classified using the classical and fuzzy clustering approaches. For the mixed database, fuzzy and classical clustering structures were created with 99.1% and 94.4% accuracy rates, respectively. Besides, within the fuzzy and classical clustering-results, classification-accuracy rates of only supplier evaluation scores were found as 90.7% and 74.1%, respectively. The effects of perception discrepancies on decision making for supplier selection were explained by means of the proposed integrated approach.

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