Discovering action rules from action reducts and their application to failed states data

Eliza Kielak , Zbigniew W. Raś

Abstract

A new strategy for extracting generalized action rules is presented in this paper. The notion of an action rule was introduced by Ras and Wieczorkowska in [10]. Based on their construction methods, action rules discovery can be divided into two types: rule-based and object-based. In rule-based approach, action rules are built from certain pairs of classification rules. In object-based approach, action rules are extracted directly from a dataset. They provide an insight of how values of some attributes need to be changed so certain objects can be shifted to a desirable group. The concept of a generalized action rule was introduced in [12]. In this paper, we introduce the notion of object-based reducts and set-based reducts, and propose a strategy for discovering generalized action rules and then action rules directly from them. An interesting strategy for discovering generalized action rules using so called summaries was given by Tzacheva [14]. For the application domain we have chosen publicly available Failed States Data [5]. A failed state is a state perceived as having failed at some of the basic conditions and responsibilities of a sovereign government [8].
Author Eliza Kielak
Eliza Kielak,,
-
, Zbigniew W. Raś (FEIT / IN)
Zbigniew W. Raś,,
- The Institute of Computer Science
Pages145-155
Book Wróbel Zygmunt, Marszał-Paszek Barbara, Paszek Piotr (eds.): Systemy Wspomagania Decyzji. Monografia jubileuszowa dla uczczenia 45 lat pracy naukowej Pani Profesor Alicji Wakulicz-Deji, 2013, Sosnowiec, Uniwersytet Śląski, ISBN 978-83-62462-09-4, 363 p.
Languageen angielski
Score (nominal)5
ScoreMinisterial score = 5.0, 04-09-2019, MonographChapterAuthor
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