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Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets

Author

Listed:
  • Mehdi Keshavarz Ghorabaee

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran)

  • Maghsoud Amiri

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran)

  • Jamshid Salehi Sadaghiani

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran)

  • Edmundas Kazimieras Zavadskas

    (Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, LT–10223 Vilnius, Lithuania)

Abstract

Project selection can be a real problem of the multi-criteria group decision making if a group of decision makers express their preferences depending on the nature of the alternatives and different criteria with respect to their knowledge about them. The purpose of the project selection process is to analyze project viability and to approve or reject project proposals based on established criteria. Such decisions are often complex, because they require the identification, consideration and analysis of many tangible and intangible factors. This paper presents a multi-criteria group decision-making approach for project selection problem in the type-2 fuzzy environment. The proposed method is an extended version of Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method with interval type-2 fuzzy numbers; it is called type-2 fuzzy VIKOR (T2F-VIKOR). A stepwise procedure is used for ranking and evaluating the alternatives in the developed method, and the best solution is selected considering both the beneficial and nonbeneficial criteria. An illustrative example is presented to show the applicability of the proposed approach in the project selection problems, and the results are analyzed. The results are compared with some existing methods to show the validity of the extended method. We also utilize six sets of criteria weights for analyzing the stability of the proposed method. These analyses show that the obtained results of the proposed method are relatively consistent with other methods and have good stability in different criteria weights.

Suggested Citation

  • Mehdi Keshavarz Ghorabaee & Maghsoud Amiri & Jamshid Salehi Sadaghiani & Edmundas Kazimieras Zavadskas, 2015. "Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 993-1016.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:05:n:s0219622015500212
    DOI: 10.1142/S0219622015500212
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    Citations

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    Cited by:

    1. 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.
    2. Kapil Mittal & Puran Chandra Tewari & Dinesh Khanduja, 2017. "On the right approach to selecting a quality improvement project in manufacturing industries," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 105-124.
    3. Noor S. Baqer & A. S. Albahri & Hussein A. Mohammed & A. A. Zaidan & Rula A. Amjed & Abbas M. Al-Bakry & O. S. Albahri & H. A. Alsattar & Alhamzah Alnoor & A. H. Alamoodi & B. B. Zaidan & R. Q. Malik , 2022. "Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(4), pages 591-613, December.
    4. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    5. Leandro Peçanha De Souza & Carlos Francisco Simões Gomes & Alexandre Pinheiro De Barros, 2018. "Implementation of New Hybrid AHP–TOPSIS-2N Method in Sorting and Prioritizing of an it CAPEX Project Portfolio," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 977-1005, July.
    6. Tien-Hsiang Chang & Ling-Jing Kao & Tsung-Yin Ou & Hsin-Pin Fu, 2018. "A Hybrid Method to Measure the Operational Performance of Fast Food Chain Stores," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1269-1298, July.

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