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2015 | OriginalPaper | Buchkapitel

15. Multicriteria Analysis of Olive Farms Sustainability: An Application of TOPSIS Models

verfasst von : Laura Riesgo, Jordi Gallego-Ayala

Erschienen in: Handbook of Operations Research in Agriculture and the Agri-Food Industry

Verlag: Springer New York

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Abstract

This chapter presents an empirical application of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) models to measure the sustainability of olive farms in Andalusia, Spain. The Analytic Hierarchy Process is used to assess the weights of sustainability dimensions and the weights of each indicator when developing the TOPSIS model. In addition, an additive approach based on weighted sum is applied to compare sustainability results of olive farms. Taking into account the weights given to each indicator and to each of the sustainability dimensions, results show that ‘intensive olive farms’ are the most sustainable olive farms.

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Vorheriges Kapitel Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach

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Instead of vector normalization to express the base indicators in homogeneous units as in the TOPSIS approach, we used linear normalization (re-scaling method), to normalize the indicators in the weighted sum approach.

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Titel: Multicriteria Analysis of Olive Farms Sustainability: An Application of TOPSIS Models
verfasst von: Laura Riesgo
Jordi Gallego-Ayala
Verlag: Springer New York
Buch: Handbook of Operations Research in Agriculture and the Agri-Food Industry
Print ISBN: 978-1-4939-2482-0

Electronic ISBN: 978-1-4939-2483-7

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-1-4939-2483-7_15

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