• DocumentCode
    3038113
  • Title

    Fuzzy Quality Synthetic Evaluation on Project Investment Decision

  • Author

    Wang, Xin Li ; Yan, Li Ping

  • Author_Institution
    Sch. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    423
  • Lastpage
    426
  • Abstract
    As a science and reasonable method fuzzy synthetic evaluation method can appraise the fit or unfit quality of each investment project accurately. Through constructing the set of factor and evaluation, determines the evaluating index weight and affiliation level grades by expert, constructs fuzzy evaluation model, finally carries on the fuzzy quality synthetic evaluation. The example analysis Indicates: according to principle of fuzzy mathematics´ biggest affiliation level, it may solve the question of multi-index appraisal about project feasibility through transforming fuzzy matrix operation to carry on the quantitative analysis to the complex factor. This method overcomes one-sidedness that formerly unitary target appraisal to the project investment decision, avoids the single direction deviation, analysis the target´s relations comprehensively, provides a science and practical method for the enterprise to carry on the project investment decision.
  • Keywords
    appraisal; fuzzy set theory; investment; affiliation level grades; evaluating index weight; fuzzy evaluation model; fuzzy matrix operation; fuzzy quality synthetic evaluation; multiindex appraisal; project investment decision; Appraisal; Conference management; Energy management; Financial management; Fuzzy set theory; Fuzzy sets; Investments; Mathematics; Project management; Quality management; affiliation level; fuzzy synthetic evaluation method; project investment decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.102
  • Filename
    5208852