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A New Group Decision Model Based on Grey-Intuitionistic Fuzzy-ELECTRE and VIKOR for Contractor Assessment Problem

Author

Listed:
  • Hassan Hashemi

    (Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran 1584743311, Iran)

  • Seyed Meysam Mousavi

    (Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran 3319118651, Iran)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio ave. 11, LT-10223 Vilnius, Lithuania)

  • Alireza Chalekaee

    (Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio ave. 11, LT-10223 Vilnius, Lithuania
    School of Civil Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran)

  • Zenonas Turskis

    (Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio ave. 11, LT-10223 Vilnius, Lithuania)

Abstract

This study introduces a new decision model with multi-criteria analysis by a group of decision makers (DMs) with intuitionistic fuzzy sets (IFSs). The presented model depends on a new integration of IFSs theory, ELECTRE and VIKOR along with grey relational analysis (GRA). To portray uncertain real-life situations and take account of complex decision problem, multi-criteria group decision-making (MCGDM) model by totally unknown importance are introduced with IF-setting. Hence, a weighting method depended on Entropy and IFSs, is developed to present the weights of DMs and evaluation factors. A new ranking approach is provided for prioritizing the alternatives. To indicate the applicability of the presented new decision model, an industrial application for assessing contractors in the construction industry is given and discussed from the recent literature.

Suggested Citation

  • Hassan Hashemi & Seyed Meysam Mousavi & Edmundas Kazimieras Zavadskas & Alireza Chalekaee & Zenonas Turskis, 2018. "A New Group Decision Model Based on Grey-Intuitionistic Fuzzy-ELECTRE and VIKOR for Contractor Assessment Problem," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1635-:d:147881
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    References listed on IDEAS

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    1. Ye, Jun, 2010. "Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 202-204, August.
    2. Jun Ye, 2013. "Multiple Attribute Group Decision-Making Methods with Completely Unknown Weights in Intuitionistic Fuzzy Setting and Interval-Valued Intuitionistic Fuzzy Setting," Group Decision and Negotiation, Springer, vol. 22(2), pages 173-188, March.
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    5. Hassan Hashemi & Jalal Bazargan & S. Mousavi, 2013. "A Compromise Ratio Method with an Application to Water Resources Management: An Intuitionistic Fuzzy Set," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2029-2051, May.
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    7. Mousavi, M. & Gitinavard, H. & Mousavi, S.M., 2017. "A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 774-787.
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    Cited by:

    1. Khoso, Ali Raza & Yusof, Aminah Md & Chen, Zhen-Song & Skibniewski, Mirosław J. & Chin, Kwai-Sang & Khahro, Shabir Hussain & Sohu, Samiullah, 2022. "Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
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    4. Zhengmin Liu & Xiaolan Zhao & Lin Li & Xinya Wang & Di Wang & Peide Liu, 2020. "Selecting a Public Service Outsourcer Based on the Improved ELECTRE II Method with Unknown Weight Information under a Double Hierarchy Hesitant Linguistic Environment," Sustainability, MDPI, vol. 12(6), pages 1-34, March.
    5. Asad Mahmoudian Azar Sharabiani & Seyed Meysam Mousavi, 2023. "A Web-Based Decision Support System for Project Evaluation with Sustainable Development Considerations Based on Two Developed Pythagorean Fuzzy Decision Methods," Sustainability, MDPI, vol. 15(23), pages 1-31, December.
    6. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    7. Zydrune Morkunaite & Romualdas Bausys & Edmundas Kazimieras Zavadskas, 2019. "Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method," Sustainability, MDPI, vol. 11(22), pages 1-25, November.
    8. Hassan Hashemi & Parviz Ghoddousi & Farnad Nasirzadeh, 2021. "Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects," Sustainability, MDPI, vol. 13(3), pages 1-25, February.
    9. Edmundas Kazimieras Zavadskas & Jonas Šaparauskas & Jurgita Antucheviciene, 2018. "Sustainability in Construction Engineering," Sustainability, MDPI, vol. 10(7), pages 1-7, June.
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    11. Huai-Wei Lo & Chao-Che Hsu & Chun-Nen Huang & James J. H. Liou, 2021. "An ITARA-TOPSIS Based Integrated Assessment Model to Identify Potential Product and System Risks," Mathematics, MDPI, vol. 9(3), pages 1-17, January.
    12. R. Krishankumar & K. S. Ravichandran & J. Premaladha & Samarjit Kar & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2018. "A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
    13. Aziz Naghizadeh Vardin & Ramin Ansari & Mohammad Khalilzadeh & Jurgita Antucheviciene & Romualdas Bausys, 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects," Sustainability, MDPI, vol. 13(12), pages 1-28, June.

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