Abstract:Abstract. Information sources provide us with granules of information that must be transformed, analyzed and built into structures that support problem solving. Lotfi A. Zadeh has recently pointed out to the need to develop a new research branch called Computing with Words. One way to achieve Computing with Words is through Granular Computing (GC). The main concepts of GC are related to information granule calculi. One of the main goals of information granule calculi is to develop algorithmic methods for const… Show more
“…The approach is based on hierarchical learning and ontology approximation [8,36,41,70]. Approximation of concepts in distributed environments is discussed in [66]. A survey of algorithmic methods for concept approximation based on rough sets and Boolean reasoning in presented, e.g., in [4,64].…”
“…The approach is based on hierarchical learning and ontology approximation [8,36,41,70]. Approximation of concepts in distributed environments is discussed in [66]. A survey of algorithmic methods for concept approximation based on rough sets and Boolean reasoning in presented, e.g., in [4,64].…”
“…There have been also developed methods for approximation of compound concepts based on rough sets, hierarchical learning, and ontology approximation (see, e.g., [7,[11][12][13]77,80,79,108,113,115,116]). …”
In this article, we discuss methods based on the combination of rough sets and Boolean reasoning with applications in pattern recognition, machine learning, data mining and conflict analysis.
“…The approach is based on hierarchical learning and ontology approximation [8,61,70,111]). Approximation of concepts in distributed environments is discussed in [105]. A survey of algorithmic methods for concept approximation based on rough sets and Boolean reasoning in presented, e.g., in [103].…”
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