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Ranking of the Bottled Water Brands Using Interval Type-2 Fuzzy ELECTRE Method

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Multiple Criteria Decision Making with Fuzzy Sets

Part of the book series: Multiple Criteria Decision Making ((MCDM))

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Abstract

Multi-criteria decision analysis (MCDA) presents a solution-oriented tool for solving complex decision problems in real life. As the well-known MCDA-family, the conventional ELECTRE and its versions were proposed for different purposes (such as selection-, assignment-, and ranking-problems in decision-making). ELECTRE has uncertainty due to the precise-nature of its decision elements. Type-1 fuzzy sets and their primary memberships handle the uncertainty based on the decision elements in the conventional ELECTRE. However, type-1 fuzzy set has also uncertainty due to the crisp-nature of primary memberships. Secondary memberships in type-2 fuzzy sets deal with the uncertainty in primary memberships of type-1 fuzzy sets. In this study, interval type-2 fuzzy-based ELECTRE method was applied to rank the bottled water brands by five analysis-criteria (pH-value, fluoride, sulfate, chloride, sodium). As a result, the most appropriate water brand-alternative met the cost type criteria better than the other alternatives.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Bartın University, Bartın, Turkey

    Mükerrem Bahar Başkır

  2. Department of Industrial Engineering, Başkent University, Ankara, Turkey

    Pelin Toktaş

Authors
  1. Mükerrem Bahar Başkır
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  2. Pelin Toktaş
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Correspondence to Mükerrem Bahar Başkır .

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Editors and Affiliations

  1. Department of Industrial Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkey

    Babek Erdebilli

  2. Politechnika Poznańska Wydział Inżynierii Zarządzania, Poznań, Poland

    Gerhard-Wilhelm Weber

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Başkır, M.B., Toktaş, P. (2022). Ranking of the Bottled Water Brands Using Interval Type-2 Fuzzy ELECTRE Method. In: Erdebilli, B., Weber, GW. (eds) Multiple Criteria Decision Making with Fuzzy Sets. Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-030-98872-2_5

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