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Apple Variety Assessment with Analytical Hierarchy Process

Die Bewertung von Apfelsorten Mittels Analytischem Hierarchieprozess

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Abstract

Selection of a proper cultivar is one of the most important management decisions when investing into apple orchard. This paper presents a methodology for evaluation of suitability for cultivation of some apple cultivars by using a multi-criteria model based on analytical hierarchy process. The software tool Expert Choice was used to support growers in making decisions about which new apple cultivar to grow. The model was applied to 13 cultivars with data derived from questionnaires completed by group of experts of different fields (orchardists, experts for fruit production economics and fruit marketing, cultivar breeders, experts of state service and commission for introduction of new cultivars, experts for fruit storage and fruit quality assessment, plant protection and fruit growing advisers). The results are shown as priority for individual cultivar. The potential of the model for assessing apple cultivar is demonstrated with the aim of providing a comprehensive explanation and justification of the assessment technique. It also indicates strong and weak points (in market potential, fruit estimation, production demands and tree estimation) of each assessed cultivar.

Zusammenfassung

Bei der Ausgestaltung und betrieblichen Planung von Geschäftsalternativen in der Betriebswirtschaftslehre gewinnt die multikriterielle Bewertung immer stärker an Bedeutung. Der vorliegende Beitrag erörtert, wie verschiedene Kriterien bei der Apfelsortenbewertung gemeinsam berücksichtig werden können. Sortenauswahl bei der Neupflanzung einer Apfelanlage ist eine der wichtigsten Entscheidungen in der Obstbaubetriebswirtschaft. In diesem Artikel wird die Sortenauswahl mit der Anwendung der multikriteriellen Methode, basierend auf dem analytischen Hierarchieprozess, dargestellt. Die Methode wurde durch Expert Choice Software implementiert. Das Modell wurde an 13 Apfelsorten angewandt. Dabei wurden 17 verschiedene Expertenmeinungen in eine einzige Wertung aggregiert.

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References

  • Belton V, Stewart T (2002) Multiple criteria decision analysis. An integrated approach. Kluwer Academic Publishers, Boston

    Book  Google Scholar 

  • Bouyssou D, Marchant T, Pirlot M, Tsoukiàs A, Vincke P (2006) Evaluation and decision models with multiple criteria: stepping stones for the analyst. International Series in Operations Research and Management Science, Boston

    Google Scholar 

  • Jensen AL (2011) Building a web-based information system for variety selection in field crops-objectives and results. Comp Electron Agric 32(3):195–211

    Article  Google Scholar 

  • Meixner O, Haas R (2002) Computergestützte Entscheidungsfindung: expert choice und AHP-innovative Werkzeuge zur Lösung komplexer Probleme. Redline Wirtschaft bei Ueberreuter, Frankfurt

    Google Scholar 

  • Pavlovič V, Čerenak A, Pavlovič M, Rozman Č (2008) Implementation of numerical methodes for assesment of hop hybrids. Hmeljarski bilten 15:33–43

    Google Scholar 

  • Pavlovič M, Čerenak A, Pavlovič V, Rozman Č, Pažek K, Bohanec M (2011) Development of DEX-HOP multi-attribute decision model for preliminary hop hybrids assessment. Comp Electron Agric 75(1):181–189

    Article  Google Scholar 

  • Rozman Č, Pažek K (2005) Application of computer supported multi-criteria decision models in agriculture. Agric Conspectus Sci 70:127–134

    Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York

    Google Scholar 

  • Srdjevic B, Srdjevic Z (2013) Synthesis of individual best local priority vectors in AHP-group decision making. Appl soft comput 13(4):2045–2056

    Article  Google Scholar 

  • Srdjevic B, Srdjevic Z, Kolarov V (2004) Group evaluation of walnut cultivars as a multicriterion decision-making process. In CIGR International Conference, Beijing, China

  • Świeżyński KM, Chrzanowska M, Domański L, Zimnoch-Guzowska E (2001) Comparison of resistance evaluation in potato variety assessment. Potato Res 44(1):25–31

    Article  Google Scholar 

  • Vafaeyan S, Thibault J, Titica M (2007) Multicriteria optimization of beer quality using the rough set method. In IFAC 10th Conference on Computer Applications in Biotechnology, Cancun, Mexico

Download references

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Correspondence to Črtomir Rozman.

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Rozman, Č., Hühner, M., Kolenko, M. et al. Apple Variety Assessment with Analytical Hierarchy Process. Erwerbs-Obstbau 57, 97–104 (2015). https://doi.org/10.1007/s10341-015-0236-8

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  • DOI: https://doi.org/10.1007/s10341-015-0236-8

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