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Selecting a Public Service Outsourcer Based on the Improved ELECTRE II Method with Unknown Weight Information under a Double Hierarchy Hesitant Linguistic Environment

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Listed:
  • Zhengmin Liu

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Xiaolan Zhao

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Lin Li

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Xinya Wang

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Di Wang

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Peide Liu

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

In present-day society, government public service outsourcing has become an irreversible trend due to the gradually increasing public pursuit of service quality and efficiency. To better meet the needs of the public and effectively improve the quality of service, it has been a crucial issue for government departments to choose the most desirable one from a series of public service outsourcers (PSOs) with distinct characteristics. In this paper, to deal with such decision problems, we propose the improved elimination and choice translating reality (ELECTRE) II method with unknown weight information under the double hierarchy hesitant fuzzy linguistic (DHHFL) environment to accurately and effectively select the best PSO. Firstly, aiming at the shortcomings of the original comparison method for double hierarchy hesitant fuzzy linguistic elements (DHHFLEs), we define the hesitant deviation degree (HDD) for DHHFLEs and, based on this, further propose a new comparison method for comparing DHHFLEs more reasonably. Secondly, inspired by the classical power average (PA) operator proposed by Yager, a new method is introduced to determine the weights of experts with respect to each attribute, based on the support degree between attributes. Afterwards, an improved ELECTRE II method is proposed to address the problem of PSO selection. A numerical case about e-government outsourcer selection is given to demonstrate the enforceability of the method. Finally, comparisons between previous methods and our method are carried out to illustrate the effectiveness and strengths of the proposed method.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2315-:d:333072
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    References listed on IDEAS

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    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. Gunjan Yadav & Sachin Kumar Mangla & Sunil Luthra & Suresh Jakhar, 2018. "Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(18), pages 6259-6278, September.
    3. Chun-Chin Wei & Yung-Lung Cheng & Kuo-Liang Lee, 2019. "How to select suitable manufacturing information system outsourcing projects by using TOPSIS method," International Journal of Production Research, Taylor & Francis Journals, vol. 57(13), pages 4333-4350, July.
    4. Rosa Micale & Antonio Giallanza & Giuseppe Russo & Giada La Scalia, 2017. "Selection of a Sustainable Functional Pasta Enriched with Opuntia Using ELECTRE III Methodology," Sustainability, MDPI, vol. 9(6), pages 1-14, May.
    5. JinHyo Joseph Yun & DongKyu Won & KyungBae Park, 2018. "Entrepreneurial cyclical dynamics of open innovation," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1151-1174, December.
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