Food market segmentation based on consumer preferences using outranking multicriteria approaches

DOI10.1111/itor.12956OpenAlexW3134730573MaRDI QIDQ6079912

Concepción Maroto, Unnamed Author, Unnamed Author

Publication date: 29 September 2023

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.12956

zbMATH Keywords

PROMETHEEclassification problemmarket segmentationconsumer preferencessorting problemcognitive constructconsumer attitudesfood-related lifestylehealthy meatpurchasing criteria

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Related Items (1)

Analysis of the cognitive aspects of the preference elicitation process in the compensatory context: a neuroscience experiment with FITradeoff

Cites Work

• Preference disaggregation and statistical learning for multicriteria decision support: A review
• Several multi-criteria programming methods for classification
• \(\mathcal{F}\)low\(\mathcal{S}\)ort: a flow-based sorting method with limiting or central profiles
• Multicriteria classification and sorting methods: A literature review
• A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity
• PROMETHEE: a comprehensive literature review on methodologies and applications
• Cluster Analysis
• A multi‐attribute motivational model of consumer choice based on a new outranking relation
• Satisfaction Benchmarking and Customer Classification: An Application to the Branches of a Banking Organization
• Clique Partitioning for Clustering: A Comparison withK-Means and Latent Class Analysis
• An output‐oriented classification of multiple attribute decision‐making techniques based on fuzzy c‐means clustering method

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