Algorithm for fuzzy multi-criteria decisionmaking

Chung Hsing Yeh, Hepu Deng

    Research output: Contribution to conferencePaper

    30 Citations (Scopus)

    Abstract

    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
    Pages1564-1568
    Number of pages5
    Publication statusPublished - 1 Jan 1998
    EventProceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) - Beijing, China, China
    Duration: 28 Oct 199731 Oct 1997

    Conference

    ConferenceProceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2)
    CountryChina
    CityBeijing, China
    Period28/10/9731/10/97

    Cite this

    Yeh, C. H., & Deng, H. (1998). Algorithm for fuzzy multi-criteria decisionmaking. 1564-1568. Paper presented at Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2), Beijing, China, China.