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Mixed valuation methods: a combined AHP-GP procedure for individual and group multicriteria agricultural valuation

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  • Jerónimo Aznar
  • Francisco Guijarro
  • José Moreno-Jiménez

Abstract

This paper introduces a new assessment method classification, in which a third procedure, mixed valuation, is jointly included with the traditional economic and non-economic methodologies. The paper considers a case of multiple actors (from a previous work by the same authors—Aznar et al. (Estudios de Economía Aplicada, 25(2):389–409, 2007 ), in which a new technique for multicriteria agriculture valuation (MAVAM) was proposed. The method is specifically designed for situations in which scarce information about the elements being compared (quantified or not) is available. It works in individual and group decision making contexts and attempts to both obtain and incorporate the objective information associated with the tangible aspects of the problem and the subjective knowledge associated with the human factor into the valuation process. It combines two of the most extended multicriteria decision making techniques: the Analytic Hierarchy Process (AHP) and Goal Programming (GP). The first of these enables tangible and intangible information stemming from known elements to be collected by using pairwise comparisons; the second allows the scarce information available and the personal approach to the valuation to be included in the valuation process. The proposed methodology is illustrated by means of its application to a case of individual and group valuation of an agricultural asset in the La Ribera district, Valencia (Spain). Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Jerónimo Aznar & Francisco Guijarro & José Moreno-Jiménez, 2011. "Mixed valuation methods: a combined AHP-GP procedure for individual and group multicriteria agricultural valuation," Annals of Operations Research, Springer, vol. 190(1), pages 221-238, October.
    • Handle: RePEc:spr:annopr:v:190:y:2011:i:1:p:221-238:10.1007/s10479-009-0527-2
    DOI: 10.1007/s10479-009-0527-2
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    2. Morano, Pierluigi & Tajani, Francesco, 2018. "Saving soil and financial feasibility. A model to support public-private partnerships in the regeneration of abandoned areas," Land Use Policy, Elsevier, vol. 73(C), pages 40-48.
    3. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.
    4. Mehrdad Mehrbod & Nan Tu & Lixin Miao & Dai Wenjing, 2012. "Interactive fuzzy goal programming for a multi-objective closed-loop logistics network," Annals of Operations Research, Springer, vol. 201(1), pages 367-381, December.
    5. Behnam Fooladi Dehaghi & Ali Khoshfetrat, 2020. "Optimal Allocation of Water Reuse Using Modified TODIM-GP Approach with Considering the Leopold Matrix Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3823-3854, September.
    6. Constantin Zopounidis & Michael Doumpos, 2013. "Multicriteria decision systems for financial problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 241-261, July.
    7. De Marinis, Pietro & Sali, Guido, 2020. "Participatory analytic hierarchy process for resource allocation in agricultural development projects," Evaluation and Program Planning, Elsevier, vol. 80(C).
    8. Czembrowski, Piotr & Kronenberg, Jakub & Czepkiewicz, Michał, 2016. "Integrating non-monetary and monetary valuation methods – SoftGIS and hedonic pricing," Ecological Economics, Elsevier, vol. 130(C), pages 166-175.
    9. Francisco Guijarro & Prodromos Tsinaslanidis, 2020. "Analysis of Academic Literature on Environmental Valuation," IJERPH, MDPI, vol. 17(7), pages 1-14, March.
    10. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.

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