Decision tables aggregation in rough sets approximation

Salem Chakhar; C. Pusceddu

Decision tables aggregation in rough sets approximation

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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 language	English
Publication status	Published - 2013
Event	Twenty-Sixth International Florida Artificial Intelligence Research Society Conference - St. Pete Beach, Florida, United States Duration: 22 May 2013 → 24 May 2013

Conference

Conference	Twenty-Sixth International Florida Artificial Intelligence Research Society Conference
Country/Territory	United States
City	St. Pete Beach, Florida
Period	22/05/13 → 24/05/13

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title = "Decision tables aggregation in rough sets approximation",

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.",

author = "Salem Chakhar and C. Pusceddu",

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note = "Twenty-Sixth International Florida Artificial Intelligence Research Society Conference ; Conference date: 22-05-2013 Through 24-05-2013",

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TY - CONF

T1 - Decision tables aggregation in rough sets approximation

AU - Chakhar, Salem

AU - Pusceddu, C.

PY - 2013

Y1 - 2013

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AB - 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.

M3 - Paper

T2 - Twenty-Sixth International Florida Artificial Intelligence Research Society Conference

Y2 - 22 May 2013 through 24 May 2013

ER -

Decision tables aggregation in rough sets approximation

Abstract

Conference

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