IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v27y2018i4d10.1007_s10726-018-9581-y.html
   My bibliography  Save this article

Project Delivery System Selection with Interval-Valued Intuitionistic Fuzzy Set Group Decision-Making Method

Author

Listed:
  • Xiaowei An

    (Hohai University)

  • Zhuofu Wang

    (Hohai University)

  • Huimin Li

    (North China University of Water Resources and Electric Power
    Henan Key Laboratory of Water Environment Simulation and Treatment
    Environment Governance and Ecological Restoration Academician Workstation of Henan Province)

  • Jiyong Ding

    (Hohai University)

Abstract

A project delivery system (PDS) is the relationship and contractual structure between the owner and the contractors of a construction project; this system defines the roles and responsibilities of the participates involved in the project. Selecting a suitable PDS is one of the keys to achieve a construction project’s goals. PDS selection is a typical multi-attribute decision making problem that can be effectively solved by group decision making. Interval-valued intuitionistic fuzzy set (IVIFS) is used to solve complex decision making problems, especially multi-attribute group decision making problems, under uncertain circumstances. In this paper, a group decision making model for PDS selection is proposed using IVIFS theory as basis. In order to improve the reliability of decision making, a new decision maker weight determination method is introduced based on information utility level. Finally, the validity of the method is verified through a case study. This method can aid project owners in PDS selection.

Suggested Citation

  • Xiaowei An & Zhuofu Wang & Huimin Li & Jiyong Ding, 2018. "Project Delivery System Selection with Interval-Valued Intuitionistic Fuzzy Set Group Decision-Making Method," Group Decision and Negotiation, Springer, vol. 27(4), pages 689-707, August.
  • Handle: RePEc:spr:grdene:v:27:y:2018:i:4:d:10.1007_s10726-018-9581-y
    DOI: 10.1007/s10726-018-9581-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-018-9581-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10726-018-9581-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Thomas Ng & Duc Thanh Luu & Swee Eng Chen & Ka Chi Lam, 2002. "Fuzzy membership functions of procurement selection criteria," Construction Management and Economics, Taylor & Francis Journals, vol. 20(3), pages 285-296.
    2. Fangwei Zhang & Shihe Xu, 2016. "Multiple Attribute Group Decision Making Method Based on Utility Theory Under Interval-Valued Intuitionistic Fuzzy Environment," Group Decision and Negotiation, Springer, vol. 25(6), pages 1261-1275, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingpeng Cao & Moses Olabhele Esangbedo & Sijun Bai & Caroline Olufunke Esangbedo, 2019. "Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation," Energies, MDPI, vol. 12(13), pages 1-30, June.
    2. Xiao-kang Wang & Sheng-hui Wang & Hong-yu Zhang & Jian-qiang Wang & Lin Li, 2021. "The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model," Group Decision and Negotiation, Springer, vol. 30(6), pages 1433-1469, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nan Zhao & Fei J Ying & John Tookey, 2022. "Construction Procurement Selection Criteria: A Review and Research Agenda," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    2. Deep Shumank & Simon Laura & Asim Mohd & Rahimzadeh Ali & Al-Hamdani Sulala, 2018. "An Analytical Study of Critical Factors Affecting Contractor Efficiency in Construction Projects in Indian Scenario," Organization, Technology and Management in Construction, Sciendo, vol. 10(1), pages 1794-1802, October.
    3. Ehsan Eshtehardian & Abbas Afshar & Reza Abbasnia, 2008. "Time-cost optimization: using GA and fuzzy sets theory for uncertainties in cost," Construction Management and Economics, Taylor & Francis Journals, vol. 26(7), pages 679-691.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:27:y:2018:i:4:d:10.1007_s10726-018-9581-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.