| 引用本文: | 岳菊梅,陈秋双,陈增强.面向后件集的模糊推理机制: 用于区间型type-2模糊逻辑系统[J].控制理论与应用,2013,30(8):964~973.[点击复制] |
| YUE Ju-mei,CHEN Qiu-shuang,CHEN Zeng-qiang.Consequent-oriented fuzzy inference: for interval type-2 fuzzy logic systems[J].Control Theory and Technology,2013,30(8):964~973.[点击复制] |
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| 面向后件集的模糊推理机制: 用于区间型type-2模糊逻辑系统 |
| Consequent-oriented fuzzy inference: for interval type-2 fuzzy logic systems |
| 摘要点击 3731 全文点击 1397 投稿时间：2012-09-10 修订日期：2013-04-28 |
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| DOI编号 10.7641/CTA.2013.12209 |
| 2013,30(8):964-973 |
| 中文关键词 区间型type-2模糊逻辑系统 模糊推理 模糊连接词 模糊化算子 |
| 英文关键词 interval type-2 fuzzy logic systems fuzzy reasoning fuzzy connectives fuzzify operator |
| 基金项目 国家自然科学基金资助项目(60774088, 71172071); 国家高技术研究发展计划“863计划”资助项目(2009AA04Z132). |
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| 中文摘要 |
| 目前, 大多数模糊推理都是利用t–范数和t–余范数或其改进形式对连接词进行建模, 这些模型不能将模糊规则中前件集与后件集之间的相关性信息引入到模糊推理过程, 这会丢失蕴含在规则中的一些信息甚至导致推理结果与实际经验严重不符. 为解决此问题, 本文首先引入模糊集合面向对象变换的概念, 并将其推广, 建立了合成type-2模糊集合模型. 基于此模型, 针对区间型type-2模糊逻辑系统, 提出一种面向后件集的模糊推理机制, 该机制能将前件集与后件集的相关性信息(包括清晰数和模糊数两种情形)引入到模糊推理过程. 仿真结果表明, 该方法能捕获到模糊规则中更多的不确定性信息, 并为模糊逻辑系统的设计提供更大的自由度. |
| 英文摘要 |
| Most fuzzy inference methods usually use some kind of t-norm and t-conorm, or their improved forms, to model the connectives. Unfortunately, those models are unable to bring the relationship between antecedents and consequents into the process of fuzzy inference. This may lose some information implied in the rule and even leads to the inference results inconsistent with practical experiences. To solve this problem, the concept of object-oriented transform on fuzzy sets is introduced and extended to establish a compound type-2 fuzzy set model, by which a consequent-oriented fuzzy inference mechanism is developed. The mechanism can introduce the relationship between antecedents and consequents, including crisp numbers and fuzzy number, to the process of fuzzy inference. Simulation results indicate that the proposed method can capture more information about rule uncertainties, and provide more choices in designing a fuzzy logic system. |
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