IDEAS home Printed from https://ideas.repec.org/a/abx/journl/y2019id168.html
   My bibliography  Save this article

Project Quality Assessment Based on Fuzzy Nodeling

Author

Listed:
  • E. N. Zhivitskaya
  • T. A. Safronova

Abstract

Methods for decision making as semi-structured goals which based on creation of linguistic model are considered in this article. Pattern of fuzzy model system is presented. Creation fuzzy model for project quality with substantive interpretation for input (projector experience, universality, projector error bar, project complexity, quality of basic data, engineering time) and output (project error) variables is reported in main body. Rule blokes are indicated to estimate output variable. The first rule bloke – projector rating- consists of 36 fuzzy rules that help taking into account quality of projector’s work. The second rule bloke consists of 81 fuzzy rules. Fuzzy model and surfaces of fuzzy inference are created in fuzzyTECH 5.54d. In the capacity of defuzzification method is used method of the best compromise. Obtained results point at capital saving due to inventory decrease on basis of analysis of project quality.

Suggested Citation

  • E. N. Zhivitskaya & T. A. Safronova, 2019. "Project Quality Assessment Based on Fuzzy Nodeling," Digital Transformation, Educational Establishment “Belarusian State University of Informatics and Radioelectronicsâ€, issue 2.
    • Handle: RePEc:abx:journl:y:2019:id:168
    DOI: 10.38086/2522-9613-2019-2-5-12
    as

    Download full text from publisher

    File URL: https://dt.bsuir.by/jour/article/viewFile/168/95
    Download Restriction: no
    File URL: https://libkey.io/10.38086/2522-9613-2019-2-5-12?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abx:journl:y:2019:id:168. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.