• Login
    View Item 
    •   Home
    • Research Publications
    • Business, Law and Social Sciences
    • Derby Business School
    • View Item
    •   Home
    • Research Publications
    • Business, Law and Social Sciences
    • Derby Business School
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    A fuzzy multi-layer assessment method for EFQM.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Preprint.pdf
    Size:
    1.299Mb
    Format:
    PDF
    Description:
    A Fuzzy Multi-Layer Assessment ...
    Download
    Authors
    Daniel, Jay cc
    Naderpour, Mohsen cc
    Lin, Chin-Teng
    Affiliation
    University of Derby
    University of Technology Sydney
    Issue Date
    2018-10-04
    
    Metadata
    Show full item record
    Abstract
    Although the European Foundation for Quality Management (EFQM) is one of the best-known business excellence frameworks, its inherent self-assessment approaches have several limitations. A critical review of self-assessment models reveals that most models are ambiguous and limited to precise data. In addition, the impact of expert knowledge on scoring is overly subjective, and most methodologies assume the relationships between variables are linear. This paper presents a new fuzzy multi-layer assessment method that relies on fuzzy inference systems (FISs) to accommodate imprecise data and varying assessor experiences to overcome uncertainty and complexity in the EFQM model. The method was implemented, tested, and verified under real conditions in a regional electricity company. The case was assessed by internal company experts and external assessors from an EFQM business excellence organization, and the model was implemented using Matlab software. When comparing the classical model with the new model, assessors and experts favored outputs from the new model.
    Citation
    Daniel, J., Naderpour, M. and Lin, C. (2018) 'A fuzzy multi-layer assessment method for EFQM', IEEE Transactions on Fuzzy Systems. DOI:10.1109/TFUZZ.2018.2874019
    Publisher
    IEEE
    Journal
    IEEE Transactions on Fuzzy Systems
    URI
    http://hdl.handle.net/10545/623035
    DOI
    10.1109/TFUZZ.2018.2874019
    Additional Links
    https://ieeexplore.ieee.org/document/8481412/
    Type
    Article
    Language
    en
    ISSN
    1063-6706
    EISSN
    1941-0034
    ae974a485f413a2113503eed53cd6c53
    10.1109/TFUZZ.2018.2874019
    Scopus Count
    Collections
    Derby Business School

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.