• DocumentCode
    571442
  • Title

    Multi-grade Fuzzy Comprehensive Evaluation of BOT Projects Service Quality Based on Fuzzy Entropy Weight Coefficient Method

  • Author

    Song, Jinbo ; Liu, Yan ; Song, Danrong

  • Author_Institution
    Sch. of Manage., Dalian Univ. of Technol., Dalian, China
  • fYear
    2012
  • fDate
    18-21 Aug. 2012
  • Firstpage
    556
  • Lastpage
    560
  • Abstract
    In order to solve the issue concerning the lack of reliable and complete evaluation for BOT (build-operate-transfer) project service quality supervision, a reasonable service quality index system and an effective evaluation method are discussed in this paper. Based on experts interview and literature review, a BOT project service quality index system will be proposed including 3 standards, 9 indexes and 19 indicators. In the construction of our evaluation model, multi-grade fuzzy comprehensive evaluation method is employed as a main evaluation method. Expert subjective weight and entropy method are combined to construct the fuzzy entropy weight coefficient method in order to determine the weight of the index. As a result, BOT projects service quality evaluation model will be proposed and a case of Shajiao B power plant will be provided to illustrate it.
  • Keywords
    fuzzy set theory; power plants; BOT projects service quality; Shajiao B power plant; build-operate-transfer project service quality supervision; expert subjective weight; fuzzy entropy weight coefficient method; multigrade fuzzy comprehensive evaluation; reasonable service quality index system; Entropy; Government; Indexes; Maintenance engineering; Power generation; Reliability; Standards; BOT; fuzzy comprehensive evaluation; fuzzy entropy weight; service quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4673-2092-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2012.122
  • Filename
    6305186