Algorithm for fuzzy multi-criteria decisionmaking

Chung Hsing Yeh, Hepu Deng

    Research output: Contribution to conferencePaperpeer-review

    35 Citations (Scopus)


    This paper presents a new algorithm for solving the general fuzzy multi-criteria decisionmaking (MCDM) problem involving fuzzy data expressed by means of linguistic terms. A fuzzy performance matrix representing the overall assessment of alternatives with respect to each criterion is obtained by using interval arithmetic. To avoid the complex and unreliable ranking process of fuzzy numbers, the α-cut concept is used to transform the fuzzy performance matrix into an interval performance matrix. Incorporated with the decision maker's attitude towards risk, an overall preference index is obtained by applying the concept of the degree of similarity to the ideal solution using a vector matching function. The algorithm developed is simple and comprehensible with easy computation which facilitates its use in a decision support system for the general fuzzy MCDM problem. An example is presented to demonstrate its applicability.

    Original languageEnglish
    Number of pages5
    Publication statusPublished - 1 Jan 1998
    EventIEEE International Conference on Image Processing 1997 - Santa Barbara, United States of America
    Duration: 26 Oct 199729 Oct 1997
    Conference number: 4th


    ConferenceIEEE International Conference on Image Processing 1997
    Abbreviated titleICIP 1997
    Country/TerritoryUnited States of America
    CitySanta Barbara

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