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Outranking Methods: Promethee I and Promethee II

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  • Goswami Shankha Shubhra

    (Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India)

Abstract

This article highlights the application of the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) I and II in selecting the best laptop model among six different available models in the market. Seven important criteria, that is, processor, hard disk capacity, operating system, RAM, screen size, brand, and color, are selected, based on which the selection process have been made. Analytic hierarchy process (AHP) is adopted for calculating the weightages of the seven criteria and PROMETHEE is applied to select the best alternative. PROMETHEE I provides the partial ranking and preferences of one model over another, whereas PROMETHEE II provides the complete ranking of the alternatives. From this analysis, Model 4 is coming out to be the best laptop model occupying the first position and Model 1 occupies the last position, thus indicating it as the worst model among the group. The objectives of this article are to select the best laptop model among six available alternatives and to understood the steps of both multiple criteria decision-making (MCDM) methodologies, that is, PROMETHEE and AHP, in details.

Suggested Citation

  • Goswami Shankha Shubhra, 2020. "Outranking Methods: Promethee I and Promethee II," Foundations of Management, Sciendo, vol. 12(1), pages 93-110, January.
    • Handle: RePEc:vrs:founma:v:12:y:2020:i:1:p:93-110:n:8
    DOI: 10.2478/fman-2020-0008
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    1. Kowalski, Katharina & Stagl, Sigrid & Madlener, Reinhard & Omann, Ines, 2009. "Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1063-1074, September.
    2. Goumas, M. & Lygerou, V., 2000. "An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects," European Journal of Operational Research, Elsevier, vol. 123(3), pages 606-613, June.
    3. Bentes, Alexandre Veronese & Carneiro, Jorge & da Silva, Jorge Ferreira & Kimura, Herbert, 2012. "Multidimensional assessment of organizational performance: Integrating BSC and AHP," Journal of Business Research, Elsevier, vol. 65(12), pages 1790-1799.
    4. Kabir, Golam & Sumi, Razia Sultana, 2014. "Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh," Energy, Elsevier, vol. 72(C), pages 717-730.
    5. Athanasios Kolios & Varvara Mytilinou & Estivaliz Lozano-Minguez & Konstantinos Salonitis, 2016. "A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs," Energies, MDPI, vol. 9(7), pages 1-21, July.
    6. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1984. "Prométhée: a new family of outranking methods in multicriteria analysis," ULB Institutional Repository 2013/9305, ULB -- Universite Libre de Bruxelles.
    7. Korhonen, Pekka & Koskinen, Lasse & Voutilainen, Raimo, 2006. "A financial alliance compromise between executives and supervisory authorities," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1300-1310, December.
    8. Nikouei, Mohammad Ali & Oroujzadeh, Maryam & Mehdipour-Ataei, Shahram, 2017. "The PROMETHEE multiple criteria decision making analysis for selecting the best membrane prepared from sulfonated poly(ether ketone)s and poly(ether sulfone)s for proton exchange membrane fuel cell," Energy, Elsevier, vol. 119(C), pages 77-85.
    9. Bertrand Mareschal & Jean Pierre Brans, 1992. "PROMETHEE V: MCDM problems with segmentation constraints," ULB Institutional Repository 2013/9341, ULB -- Universite Libre de Bruxelles.
    10. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    11. Vaillancourt, Kathleen & Waaub, Jean-Philippe, 2004. "Equity in international greenhouse gases abatement scenarios: A multicriteria approach," European Journal of Operational Research, Elsevier, vol. 153(2), pages 489-505, March.
    12. Albadvi, Amir & Chaharsooghi, S. Kamal & Esfahanipour, Akbar, 2007. "Decision making in stock trading: An application of PROMETHEE," European Journal of Operational Research, Elsevier, vol. 177(2), pages 673-683, March.
    13. Tsoutsos, Theocharis & Drandaki, Maria & Frantzeskaki, Niki & Iosifidis, Eleftherios & Kiosses, Ioannis, 2009. "Sustainable energy planning by using multi-criteria analysis application in the island of Crete," Energy Policy, Elsevier, vol. 37(5), pages 1587-1600, May.
    14. Meløn, Mønica García & Aragonés Beltran, Pablo & Carmen González Cruz, M., 2008. "An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study," Omega, Elsevier, vol. 36(5), pages 754-765, October.
    15. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    16. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    17. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    18. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    19. Bertrand Mareschal & Jean Pierre Brans, 1994. "The PROMETHEE-GAIA decision support system for multicriteria investigations," ULB Institutional Repository 2013/9367, ULB -- Universite Libre de Bruxelles.
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    More about this item

    Keywords

    PROMETHEE I; PROMETHEE II; AHP; MCDM; laptop models;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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