Generalized Fuzzy Data Mining for Incomplete Information

• 作者: Poli Venkata Subba Reddy
• 来源期刊: 软件工程与应用(英文)
• 学科: 数学
• 关键词: FUZZY LOGIC GENERALIZED FUZZY LOGIC FUZZY CERTAINTY Factor BUSINESS INTELLIGENCE
• 年，卷（期）: 2018,（6）
• 页码范围: 285-298
• 页数: 14页
• 分类号: O1

摘要

Defining data with fuzziness made the knowledge discovery process easy and secure to data in data mining. The fuzzy data bases may have linguistic variables. In this paper, fuzzy conditional inference and reasoning are studied for generalized fuzzy data mining. Generalized fuzzy data mining and reasoning is studied with two membership functions “Belief” and “Disbelief”. The fuzzy logic with two membership functions will give more evidence than single membership function. The fuzzy certainty factor is studied as difference between these functions and made it as single membership function. The fuzzy data mining methods are studied. The generalized data mining is studied with different fuzzy conditional inferences. The business intelligence is given as an example.