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Multi-criteria governmental crop planning problem based on an integrated AHP-PROMETHEE approach

Author

Listed:
  • Salah R. Agha
  • Latifa G. Nofal
  • Hana A. Nassar

Abstract

The study uses analytic hierarchy process (AHP) and preference ranking organisation method for enrichment evaluations (PROMETHEE) to deal with the crop planning problem as a multi-criteria decision-making problem, for governmental lands in Gaza Strip under two conditions: the normal economy condition and the resistant economy condition. These two conditions are studied from the governmental point of view. The study goal is to rank crops according to some considered criteria. Crops are divided into eight types that include vegetables, fruits, citrus, olives, palms, export crops, field crops and medical and aromatic crops. The developed AHP and PROMETHEE compare crops with respect to seven main criteria, namely; economical, financial, marketing, environmental, technical, political and social criteria. AHP is used to obtain criteria weights to be used as input for PROMETHEE to outrank alternatives. The results indicate that in resistant economy condition, field crops, olives and palms are the most important crops, while in normal economy condition, vegetables, citrus and export crops are the most important crops.

Suggested Citation

  • Salah R. Agha & Latifa G. Nofal & Hana A. Nassar, 2012. "Multi-criteria governmental crop planning problem based on an integrated AHP-PROMETHEE approach," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(4), pages 385-406.
    • Handle: RePEc:ids:injams:v:4:y:2012:i:4:p:385-406
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    Cited by:

    1. Jelena Kilić Pamuković & Katarina Rogulj & Daniela Dumanić & Nikša Jajac, 2020. "A Sustainable Approach for the Maintenance of Asphalt Pavement Construction," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    2. Akhtar Veisi & Korous Khoshbakht & Hadi Veisi & Reza Mirzaei Talarposhti & Reza Haghparast Tanha, 2024. "Integrating farmers’ and experts’ perspectives for soil health-informed decision-making in conservation agriculture systems," Environment Systems and Decisions, Springer, vol. 44(2), pages 199-214, June.

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