Measurement of decision maker's performance in a fuzzy multi-attribute decision making

A. Nureize, J. Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    The performance measurement of decision maker's evaluation is important to recognize the efficiency of the decision makers in the decision making process. Besides the consideration of attributes, several decision evaluators may involve their preference and judgment. Decision makers tend to provide different evaluation though the same sets of problems are evaluated. Thus, the objectives of this paper are to provide a measure of the decision maker's performance in the fuzzy multi attribute decision making environment. A numerical example is given to illustrate the computational process of the proposed model.

    Original languageEnglish
    Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
    Pages1598-1602
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong
    Duration: 2009 Dec 82009 Dec 11

    Other

    OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
    CityHong Kong
    Period09/12/809/12/11

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    Keywords

    • Decision maker's performance
    • Fuzzy data envelopment analysis
    • Fuzzy regression analysis
    • Multi-attribute evaluation

    ASJC Scopus subject areas

    • Management of Technology and Innovation
    • Information Systems and Management
    • Industrial and Manufacturing Engineering
    • Safety, Risk, Reliability and Quality

    Cite this

    Nureize, A., & Watada, J. (2009). Measurement of decision maker's performance in a fuzzy multi-attribute decision making. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1598-1602). [5373108] https://doi.org/10.1109/IEEM.2009.5373108