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Modelling a sustainable requalification problem by analytic hierarchy process

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  • Virginia Racioppi
  • Gabriella Marcarelli
  • Massimo Squillante

Abstract

Decision problems are often characterized by a great number of alternative actions and by the complexity of relationships between factors involved in the process. This leads to the determination of alternative choices in uncertainty conditions. In this paper the problem of an energetic and environmental requalification is analyzed. This kind of problem emphasizes the need for integration of economics and environment so a multicriteria approach is required; in particular the analytic hierarchy process is applied and a detailed sensitivity analysis is performed by using a software package, Expert Choice. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Virginia Racioppi & Gabriella Marcarelli & Massimo Squillante, 2015. "Modelling a sustainable requalification problem by analytic hierarchy process," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1661-1677, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1661-1677
    DOI: 10.1007/s11135-014-0073-0
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    References listed on IDEAS

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    1. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    2. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    3. Vargas, Luis G., 1990. "An overview of the analytic hierarchy process and its applications," European Journal of Operational Research, Elsevier, vol. 48(1), pages 2-8, September.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
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