Set-theoretic methodology using fuzzy sets in rule extraction and validation - consistency and coverage revisited

Jan Stoklasa; Pasi Luukka; Tomá? Talá?ek

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Set-theoretic methodology using fuzzy sets in rule extraction and validation - consistency and coverage revisited

机译：使用模糊集规则提取和验证的模糊集 - 定理方法 - 重新审视一致性和覆盖范围

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摘要

Highlights

? Performance of set-theoretic consistency and coverage is discussed and analyzed.

? Shortcomings of their fuzzification as proposed by Ragin in 2006 are discussed.

? Correction of their fuzzification is proposed and discussed.

? The concept of degree of support and degree of disproof of a rule is proposed.

? Performance of the proposed measures is illustrated graphically and analyzed.

机译：<！[cdata [ 亮点

？讨论和分析了设定理论一致性和覆盖的“全部”性能。？ 2006年ragin提出的模糊化的缺点。

？

？提出了支持程度的概念和规则的防范程度。

？图形和分析了所提出的措施的性能。

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来源
《Information Sciences: An International Journal》 |2017年第2017期|共20页
作者
Jan Stoklasa; Pasi Luukka; Tomá? Talá?ek;
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作者单位

School of Business and Management Lappeenranta University of Technology;

School of Business and Management Lappeenranta University of Technology;

Department od Applied Economics Faculty of Arts Palacky University;

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原文格式 PDF
正文语种 eng
中图分类自动信息理论;计算机的应用;信息与知识传播;自动化技术、计算机技术;
关键词
Rule validation; Set-theoretic; Consistency; Coverage; Degree of support; Degree of disproof;

机译：规则验证;设定定理;一致性;覆盖范围;支持程度;抗辩等级;

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1. Set-theoretic methodology using fuzzy sets in rule extraction and validation - consistency and coverage revisited [J] . Jan Stoklasa, Pasi Luukka, Tomá? Talá?ek Information Sciences: An International Journal . 2017,第期

机译：使用模糊集规则提取和验证的模糊集 - 定理方法 - 重新审视一致性和覆盖范围
2. Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach [J] . Xiaodong Liu, Xinghua Feng, Witold Pedrycz Data & Knowledge Engineering . 2013,第Mara期

机译：从模糊决策树中提取模糊规则：公理模糊集（AFS）方法
3. A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques [J] . Elpiniki I. Papageorgiou Applied Soft Computing . 2011,第1期

机译：基于模糊规则提取技术的基于模糊认知图的医学信息学决策新方法
4. Decision rule extraction method based on rough set theory and fuzzy set theory [C] . Ming-Chun Wang, Zheng-Ou Wang, Ming Zhang, . 2005

机译：基于粗糙集和模糊集理论的决策规则提取方法
5. A model validation methodology for isolating inconsistent knowledge between fuzzy rule-based and quantitative models using fuzzy simulation [D] . Kim, Gyooseok 1998

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6. Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation [O] . Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, 2021

机译：二元神经网络与模型验证卷积规则的规则提取
7. Exploring environmental coverages of species: a new variable contribution estimation methodology for rulesets from the genetic algorithm for rule-set prediction [O] . Anni Yang, Juan Pablo Gomez, Jason K. Blackburn 2020

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8. Measuring uncertainty by extracting fuzzy rules using rough sets and extracting fuzzy rules under uncertainty and measuring definability using rough sets [R] . Worm, Jeffrey A., Culas, Donald E. 1991

机译：通过粗糙集提取模糊规则并在不确定条件下提取模糊规则并使用粗糙集测量可定义性来测量不确定性

Set-theoretic methodology using fuzzy sets in rule extraction and validation - consistency and coverage revisited

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