Type 2 representation and reasoning for CWW

I. Burhan Turksen

首页> 外文期刊>Fuzzy sets and systems >Type 2 representation and reasoning for CWW

【24h】

Type 2 representation and reasoning for CWW

机译：CWW的2类表示和推理

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Computing with words (CWW) is enriched by Type 2 fuzziness. Type 2 fuzziness exists and provides a richer knowledge representation and approximate reasoning for computing with words. First, it has been shown that membership functions, whether (1) they are obtained by subjective measurement experiments, such as direct or reverse rating procedures which captures varying degrees of membership and hence varying meanings of words or else (2) they are obtained with the application of modified fuzzy clustering methods, where they all reveal a scatter plot, which captures varying degrees of meaning for words in a fuzzy cluster.

机译：类型2模糊性丰富了单词计算（CWW）。类型2模糊性存在，并提供了更丰富的知识表示和近似的推理能力，可用于单词计算。首先，已证明隶属函数，无论（1）它们是通过主观测量实验获得的，例如直接或反向评级程序，它捕获了不同程度的隶属度并因此改变了单词的含义，或者（2）它们是通过以下方法获得的：改进的模糊聚类方法的应用，它们都揭示了一个散点图，该散点图捕获了模糊聚类中单词的不同程度的含义。

著录项

来源
《Fuzzy sets and systems》 |2002年第1期|p.17-36|共20页
作者
I. Burhan Turksen;
展开▼
作者单位

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类模糊数学;
关键词

相似文献

外文文献
中文文献
专利

1. Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS [J] . Yue Weichao, Gui Weihua, Chen Xiaofang, International journal of machine learning and cybernetics . 2019,第12期

机译：使用自学习区间2型模糊Petri网和扩展TOPSIS的知识表示和推理
2. Linguistic Reasoning Petri Nets for Knowledge Representation and Reasoning [J] . H. C. Liu, J. X. You, X. Y. You, IEEE Transactions on Systems, Man, and Cybernetics . 2016,第4期

机译：语言推理Petri网用于知识表示和推理
3. GAZE MODULATES NON-PROPOSITIONAL REASONING: FURTHER EVIDENCE FOR SPATIAL REPRESENTATION OF REASONING PREMISES [J] . E. BRUNAMONTI A. GENOVESIO K. CARBE AND S. FERRAINA Neuroscience: An International Journal under the Editorial Direction of IBRO . 2011,第1期

机译：凝视会导致非正常的推理：推理前提的空间表示的进一步证据
4. From computing with words (CWW) to reasoning with fuzzy concepts (RFC) [C] . Yingxu Wang 2016 Annual Meeting of the North American Fuzzy Information Processing Society . 2016

机译：从文字计算（CWW）到模糊概念推理（RFC）
5. Representations of affine truncations of representation involutive-semirings of Lie algebras and root systems of higher type. [D] . Graves, Timothy Wesley. 2011

机译：Lie代数和高级类型的根系统的表示对合半拟仿射截断的表示。
6. Statistical and Probabilistic Analysis. New Tools for Analysis and Representation: Graphic Representation Can Lead To Fast and Accurate Bayesian Reasoning [O] . William G. Cole, Janet E. Davidson 1989

机译：统计和概率分析。分析和表示的新工具：图形表示可导致快速准确的贝叶斯推理
7. Knowledge representation and commonsense reasoning: Reviews of four books Ronald J.BrachmanHector J.LevesqueKnowledge Representation and Reasoning2004Morgan Kaufmann1558609326381 pagesRaymondReiterKnowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems2001MIT Press0262182181448 pagesErik T.MuellerCommonsense Reasoning2006Morgan Kaufmann0123693888432 pagesChittaBaralKnowledge Representation, Reasoning and Declarative Problem Solving2003Cambridge University Press0521818028544 pages [O] . Morgenstern Leora 2006

机译：知识表示和常识推理：对四本书的评论Ronald J.BrachmanHector J.Levesque知识表示和推理2004Morgan Kaufmann1558609326381页RaymondReiter行动知识：指定和实现动态系统的逻辑基础2001MIT Press0262182181448页Erik T.MuellerCommons理性200320060523CaelKalymann123香客机密页数

Type 2 representation and reasoning for CWW

摘要

著录项

相似文献

相关主题

期刊订阅