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Combined Approach for Government E-Tendering Using GA and TOPSIS with Intuitionistic Fuzzy Information

Author

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  • Yan Wang
  • Chengyu Xi
  • Shuai Zhang
  • Wenyu Zhang
  • Dejian Yu

Abstract

As E-government continues to develop with ever-increasing speed, the requirement to enhance traditional government systems and affairs with electronic methods that are more effective and efficient is becoming critical. As a new product of information technology, E-tendering is becoming an inevitable reality owing to its efficiency, fairness, transparency, and accountability. Thus, developing and promoting government E-tendering (GeT) is imperative. This paper presents a hybrid approach combining genetic algorithm (GA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to enable GeT to search for the optimal tenderer efficiently and fairly under circumstances where the attributes of the tenderers are expressed as fuzzy number intuitionistic fuzzy sets (FNIFSs). GA is applied to obtain the optimal weights of evaluation criteria of tenderers automatically. TOPSIS is employed to search for the optimal tenderer. A prototype system is built and validated with an illustrative example from GeT to verify the feasibility and availability of the proposed approach.

Suggested Citation

  • Yan Wang & Chengyu Xi & Shuai Zhang & Wenyu Zhang & Dejian Yu, 2015. "Combined Approach for Government E-Tendering Using GA and TOPSIS with Intuitionistic Fuzzy Information," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-20, July.
    • Handle: RePEc:plo:pone00:0130767
    DOI: 10.1371/journal.pone.0130767
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    Cited by:

    1. Honghao Zhang & Yong Peng & Guangdong Tian & Danqi Wang & Pengpeng Xie, 2017. "Green material selection for sustainability: A hybrid MCDM approach," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-26, May.
    2. Wei-Hsiu Hsu & Li-Ju Lai & Yo-Ping Huang & Avichandra Singh, 2019. "Association Analysis of Scoliosis Based on Backpack Carrying Methods and Head Positions of Elementary School Students," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 13(5), pages 10222-10232, January.
    3. Peide Liu & Yumei Wang, 2019. "Intuitionistic Fuzzy Interaction Hamy Mean Operators and Their Application to Multi-attribute Group Decision Making," Group Decision and Negotiation, Springer, vol. 28(1), pages 197-232, February.
    4. Hong Li & Zilin Chen, 2022. "A Comprehensive Evaluation Framework to Assess the Sustainable Development of Schools within a University: Application to a Chinese University," Sustainability, MDPI, vol. 14(17), pages 1-12, August.

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