Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel s algorithms from interval-valued to a more general case

机译：用于处理2型模糊数据的快速算法：将Mendel S算法从间隔重视到更大的情况

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摘要

It is known that processing of data under general type-1 fuzzy uncertainty can be reduced to the simplest case - of interval uncertainty: namely, Zadeh''s extension principle is equivalent to level-by-level interval computations applied to alpha- cuts of

机译：众所周知，可以将一般类型-1模糊不确定性下的数据处理可以减少到最简单的间隔不确定性：即，Zadeh'的扩展原理相当于应用于α-截止的逐级间隔计算

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来源
《Annual Meeting of the North American Fuzzy Information Processing Society》|2008年||共6页
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作者
Kreinovich V.; Gang Xiang;
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中图分类 TP273.4-53;
关键词
computational complexity; fuzzy set theory; Mendels algorithms; Zadeh extension principle; computational complexity; fuzzy numbers; fuzzy sets; fuzzy uncertainty; type-2 fuzzy data;

机译：计算复杂性;模糊集理论;晶格算法;Zadeh延伸原理;计算复杂性;模糊数;模糊套;模糊不确定性;2型模糊数据;2型模糊数据;

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2. STUDY ON IMPROVED ENHANCED KARNIK-MENDEL ALGORITHMS FOR CENTROID TYPE-REDUCTION OF GENERAL TYPE-2 FUZZY LOGIC SYSTEMS [J] . Chen Yang International Journal of Innovative Computing Information and Control . 2019,第5期

机译：改进增强型Karnik-Mendel算法的质心型 - 2模糊逻辑系统
3. Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted enhanced Karnik–Mendel algorithms [J] . Yang Chen, Dazhi Wang Soft computing: A fusion of foundations, methodologies and applications . 2018,第4期

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4. Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel s algorithms from interval-valued to a more general case [C] . Kreinovich V., Gang Xiang Annual Meeting of the North American Fuzzy Information Processing Society . 2008

机译：用于处理2型模糊数据的快速算法：将Mendel S算法从间隔重视到更大的情况
5. Fast parallel machine learning algorithms for large datasets using graphic processing unit. [D] . Li, Qi. 2011

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7. Towards Fast Algorithms for Processing Type-2 Fuzzy Data: Extending Mendelu27s Algorithms From Interval-Valued to a More General Case [O] . Kreinovich Vladik, Xiang Gang 2008

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Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel s algorithms from interval-valued to a more general case

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