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A novel approach to solve the problems with network structure

Author

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  • Abbas Bonyani

    (University of Tehran)

  • Moslem Alimohammadlou

    (Shiraz University)

Abstract

In Analytic Network Process method (ANP), the complex relationships among different levels of decision, transactions, and feedbacks of criteria and alternatives are considered for calculating the weight of elements. However, a large number of pair-wise comparisons in ANP, and the difficulties in understanding the methods used for comparison by the expert have reduced the efficiency and practicality of this method. The present study aimed to eliminate such problems by providing a new approach using the best–worst method. The proposed approach requires less comparison data, which results in creating more consistent comparisons, and obtaining more reliable results. In addition, this method can be easily used by the experts. Finally, a numerical example was provided to describe the proposed method and evaluate its capability.

Suggested Citation

  • Abbas Bonyani & Moslem Alimohammadlou, 2021. "A novel approach to solve the problems with network structure," Operational Research, Springer, vol. 21(2), pages 1279-1297, June.
    • Handle: RePEc:spr:operea:v:21:y:2021:i:2:d:10.1007_s12351-019-00486-0
    DOI: 10.1007/s12351-019-00486-0
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    References listed on IDEAS

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    1. Jerry Zoffer & Asma Bahurmoz & Mohammed K. Hamid & Marcel Minutolo & Thomas Saaty, 2008. "Synthesis of Complex Criteria Decision Making: A Case Towards a Consensus Agreement for a Middle East Conflict Resolution," Group Decision and Negotiation, Springer, vol. 17(5), pages 363-385, September.
    2. Thomas L. Saaty & Luis G. Vargas, 2006. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, number 978-0-387-33987-0, December.
    3. Jui-Kuei Chen & I-Shuo Chen, 2009. "Performance Evaluation For The Banking Industry In Taiwan Based On Total Quality Management," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 3(1), pages 49-60.
    4. Ren‐Shuai Chen & Joseph Z. Shyu & Gow‐Hshiung Tzeng, 2006. "The Policy of High‐Tech Industry Development: The Case of Location Assessment for Biotech Industry Parks in Taiwan," Review of Policy Research, Policy Studies Organization, vol. 23(2), pages 589-606, March.
    5. J Aznar & J Ferrís-Oñate & F Guijarro, 2010. "An ANP framework for property pricing combining quantitative and qualitative attributes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 740-755, May.
    6. Agarwal, Ashish & Shankar, Ravi & Tiwari, M.K., 2006. "Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach," European Journal of Operational Research, Elsevier, vol. 173(1), pages 211-225, August.
    7. Arsić, Sanela & Nikolić, Djordje & Živković, Živan, 2017. "Hybrid SWOT - ANP - FANP model for prioritization strategies of sustainable development of ecotourism in National Park Djerdap, Serbia," Forest Policy and Economics, Elsevier, vol. 80(C), pages 11-26.
    8. Chemweno, Peter & Pintelon, Liliane & Van Horenbeek, Adriaan & Muchiri, Peter, 2015. "Development of a risk assessment selection methodology for asset maintenance decision making: An analytic network process (ANP) approach," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 663-676.
    9. Büyüközkan, Gülçin & Güleryüz, Sezin & Karpak, Birsen, 2017. "A new combined IF-DEMATEL and IF-ANP approach for CRM partner evaluation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 194-206.
    10. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    11. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    12. Judith Hülle & Ralf Kaspar & Klaus Möller, 2013. "Analytic network process - an overview of applications in research and practice," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 16(2), pages 172-213.
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