Decision tables aggregation in rough sets approximation

Salem Chakhar, C. Pusceddu

    Research output: Contribution to conferencePaperpeer-review

    61 Downloads (Pure)

    Abstract

    The Dominance-based Rough Set Approach (DRSA) is an extension of Rough Sets Theory to handle multicriteria classification problems by authorizing preference ordered attributes. The DRSA assumes the existence of a single decision table while real-world decision problems imply generally several experts with different decision tables. The objective of this paper is to propose an algorithm for the aggregation of a set of decision tables, as a first step for approximating these tables. The algorithm is illustrated using real-world data.
    Original languageEnglish
    Publication statusPublished - 2013
    EventTwenty-Sixth International Florida Artificial Intelligence Research Society Conference - St. Pete Beach, Florida, United States
    Duration: 22 May 201324 May 2013

    Conference

    ConferenceTwenty-Sixth International Florida Artificial Intelligence Research Society Conference
    Country/TerritoryUnited States
    CitySt. Pete Beach, Florida
    Period22/05/1324/05/13

    Fingerprint

    Dive into the research topics of 'Decision tables aggregation in rough sets approximation'. Together they form a unique fingerprint.

    Cite this