Outranking methods: PROMETHEE I and PROMETHEE II

• Autorzy: Shankha Shubhra Goswami
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Analytic Hierarchy Process (AHP); Multiple-criteria decision making; Hardware

PL

Analityczny proces hierarchiczny; Wielokryterialne podejmowanie decyzji; Sprzęt komputerowy

• Czasopismo: Foundations of Management
• Rocznik: 2020
• Tom: 12
• Numer: nr 1
• Strony: 93--110

Twórcy

autor

Shankha Shubhra Goswami

• Indira Gandhi Institute of Technology, Sarang, India

Bibliografia

• Adalı, E. and Işık, A., 2016. Air conditioner selection problem with COPRAS and ARAS methods. Manas Journal of Social Studies, 5(2), pp.124-138. https://pdfs.semanticscholar.org/b1f9/9b4c8ff39137f5f1f044df9572e5f62331b3.pdf?_ga=2.4748531.1193764185.1565108694-1821258113.1558350277
• Adalı, E. and Işık, A., 2017. The multi-objective decision making methods based on MULTI-MOORA and MOORA for the laptop selection problem. International Journal of Industrial Engineering, 13, pp.229-237. https://link.springer.com/content/pdf/10.1007/s40092-016-0175-5.pdf
• Albadvi, A., Chaharsooghi, S.K. and Esfahanipour, A., 2007. Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177(2), pp.673-683. https://doi.org/10.1016/j.ejor.2005.11.022
• Alomoush, M, I., 2010. Multicriteria selection of optimal location of TCSC in a competitive energy market, Journal of Electrical Engineering, 61(3), pp.129-140. https://content.sciendo.com/view/journals/jee/61/3/article-p129.xml?rskey=6Byy3L&result=4&tab_body=pdf
• Ayhan, M.B., 2013. A fuzzy AHP for supplier selection problem: A case study in a gear motor company. International Journal of Managing Value and Supply Chains (IJMVSC), 4(3), pp.11-23. https://arxiv.org/ftp/arxiv/papers/1311/1311.2886.pdf
• Behzadian, M., Kazemzadeh, R.B Albadvi, A. and Aghdasi, M., 2010. PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1), pp.198-215. https://doi.org/10.1016/j.ejor.2009.01.021
• Bentes, A.V., Carneiro, J., Da Silva, J.F. and Kimura, H., 2012. Multidimensional assessment of organizational performance: Integrating BSC and AHP. Journal of Business Research, 65(12), pp.1790-1799. https://doi.org/10.1016/j.jbusres.2011.10.039
• Bertolini, M., Braglia, M. and Carmignani, G., 2006. Application of the AHP Methodology in Making a Proposal for a Public Work Contract. International Journal of Project Management, 24, pp.422-430. https://doi.org/10.1016/j.ijproman.2006.01.005
• Bhattacharyya, A. and Chakraborty, S., 2014. A DEA-TOPSIS-based approach for performance evaluation of Indian technical institutes. Decision Science Letters, 3(3), pp.397-410. http://www.growingscience.com/dsl/Vol3/dsl_2014_5.pdf
• Brans, J.P., 1982. L'ingénièrie de la décision; Elaboration d'instruments d'aide à la décision. La méthode PROMETHEE. Organized by Nadeau, R. and Landry, M., L'aide à la décision: Nature, Instruments et Perspectives d'Avenir, Québec, Canada, Presses de l'Université Laval, pp.183-213.
• Brans, J.P. and Mareschal, B., 1992. Promethee-V - MCDM problems with segmentation constraints. Information systems and operational research, 30(2), pp.85-96. https://doi.org/10.1080/03155986.1992.11732186
• Brans, J.P. and Mareschal, B., 1995. The PROMETHEE VI procedure. How to differentiate hard from soft multicriteria problems. Journal of Decision Systems, 4(3), pp.213-223. https://doi.org/10.1080/12460125.1995.10511652
• Brans, J.P. and Mareschal, P., 1994. The PROMETHEE-GAIA decision support system for multicriteria investigations. Journal of Investigation Operative, 4(2), pp.107-117.
• Brans, J.P., Mareschal, B. and Vincke, P., 1984. PROMETHEE: A new family of outranking methods in multicriteria analysis. In J.P. Brans, editor, Operational Research'84, North-Holland, Amsterdam, pp.477-490.
• Brans, J.P., Mareschal, B. and Vincke, P., 1986. How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24(2), pp.228-238. https://doi.org/10.1016/0377-2217(86)90044-5
• Brans, J.P. and Vincke, P., 1985. A preference ranking organisation method: The PROMETHEE method for MCDM. Management Science, 31(6), pp.647-656
• Brauers, W.K.M. and Zavadskas, E.K., 2006. The MOORA method and its applications to privatization in a transition economy. Control and cybernetics, 35(2), pp.445-469. https://pdfs.semanticscholar.org/3cc0/3a4ced96c113cb8ea4bdef4fb8c85c6429c4.pdf?_ga=2.82634006.1280531091.1565892816-1821258113.1558350277
• Brauers, W.K.M. and Zavadskas, E.K., 2009. Multi objectives optimization with discrete alternatives on the basis of ratio analysis. Intellectual economics, 2(6), pp.30-41. https://www3.mruni.eu/ojs/intellectual-economics/article/view/1193/1142
• Buckley, J.J., 1985. Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), pp.233-247. https://doi.org/10.1016/0165-0114(85)90090-9.
• Bulut, E., Duru, O., Keçeci, T. and Yoshida, S., 2012. Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management. Expert Systems and Applications, 39(2), pp.1911-1923. https://doi.org/10.1016/j.eswa.2011.08.056
• Butowski, L., 2018. An integrated AHP and PROMETHEE approach to the evaluation of the attractiveness of European maritime areas for sailing tourism. Moravian Geographical Reports, 26(2), pp.135-148. https://content.sciendo.com/view/journals/mgr/26/2/article-p135.xml?rskey=6Byy3L&result=3&tab_body=pdf
• Büyüközkan, G. and Çifçi, G., 2012. A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Systems with Applications, 39(3), pp.2341-2354. https://doi.org/10.1016/j.eswa.2011.08.061
• Chandrakar, R. and Limje, S., 2018. A hybrid of QFD and AHP-TOPSIS for Durg dumping waste projects. Journal of Project Management, 3(3), pp.143-150. http://www.growingscience.com/jpm/Vol3/jpm_2018_8.pdf
• Chang, D.Y., 1996. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), pp.649-655. https://doi.org/10.1016/0377-2217(95)00300-2
• Celik, M., Deha, Er. I. and Ozok, A.F., 2009. Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36, pp.190-198. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.469.3751&rep=rep1&type=pdf
• Durán, O. and Aguilo, J., 2008. Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Systems and Applications, 34(3), pp.1787-1794. https://doi.org/10.1016/j.eswa.2007.01.046
• Geldermann, J., Spengler, T. and Rentz, O., 2000. Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Sets and Systems, 115(1), pp.45-65. https://doi.org/10.1016/S0165-0114(99)00021-4
• Goswami, S. and Mitra, S., 2020. Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology. International Journal of Data and Network Science, 4(1), pp.27-42. http://www.growingscience.com/ijds/Vol4/ijdns_2019_30.pdf
• Goumas, M. and 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, 123(3), pp.606-613. https://doi.org/10.1016/S0377-2217(99)00093-4
• Holst, A., 2019, August 30. Global pc unit shipments 2006-2019. Statista. Retrieved from https://www.statista.com/statistics/273495/global-shipments-of-personal-computers-since-2006/
• Hwang, C.L., Lai, Y.J. and Liu, T.Y., 1993. A new approach for multiple objective decision making. Computers and Operational Research, 20(8), pp.889-899. https://doi.org/10.1016/0305-0548(93)90109-V
• Hwang, C.L. and Yoon, K., 1981. Multiple Attributes Decision Making Methods and Applications. New York: Springer-Verlag.
• Jayant, A. and Sharma, J., 2018. A comprehensive literature review of MCDM techniques ELECTRE, PROMETHEE, VIKOR and TOPSIS applications in business competitive environment. International Journal of Current Research, 10(2), pp.65461-65477. https://pdfs.semanticscholar.org/b370/ba1d421bcc7738c4b69d9a31cb61186afbf3.pdf
• Kabir, G. and Sumi, R.S., 2014. Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh. Energy, 72, pp.717-730. https://doi.org/10.1016/j.energy.2014.05.098
• Kilic, H.S., Zaim, S. and Delen, D., 2015. Selecting the best ERP system for SMEs using a combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5), pp.2343-2352. http://isiarticles.com/bundles/Article/pre/pdf/46451.pdf
• Kolios, A., Mytilinou, V., Lozano-Minguez, E. and Salonitis, K., 2016. A comparative study of multiple criteria decision making methods under stochastic inputs. MDPI Journal of Energies, 9(566). https://www.mdpi.com/1996-1073/9/7/566/htm

Identyfikatory

DOI

10.2478/fman-2020-0008