| Unified forms of the CDR method of approximate reasoning on Antanassov's intuitionistic fuzzy sets and its property analysis |
| Li, Jun; Xu, Xiaofu
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| 2018-11-01
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发表期刊 | Computational Intelligence
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ISSN | 08247935
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卷号 | 34期号:4页码:1101-1121 |
摘要 | Two basic models of fuzzy reasoning are fuzzy modus ponens and fuzzy modus tollens. Correspondingly, the key point of intuitionistic fuzzy reasoning is to solve the problems of intuitionistic fuzzy modus ponens (IFMP) and intuitionistic fuzzy modus tollens (IFMT). In many important algorithms of fuzzy reasoning, the Consequent Dilation Rule (CDR) method possesses the virtue of unconditional reductivity. This paper proposed an intuitionistic CDR (ICDR) method for IFMP and IFMT problems by extending the CDR method to the intuitionistic fuzzy reasoning. It was proved that the intuitionistic CDR methods, both for IFMP and IFMT, are unconditionally reductive in the circumstance of using residual intuitionistic implication operators. At the same time, the continuity, approximation properties and robustness of the CDR method in Lukasiewicz intuitionistic fuzzy reasoning space have been studied by using the new defined average natural distance between intuitionistic fuzzy sets. © 2018 Wiley Periodicals, Inc. |
关键词 | Clock and data recovery circuits (CDR circuits)
Fuzzy sets
Robustness (control systems)
consequent dilation rule (CDR)
continuity
Implication operators
Intuitionistic fuzzy reasonings
Reductivity
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DOI | 10.1111/coin.12170
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收录类别 | EI
; SCIE
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语种 | 英语
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WOS研究方向 | Computer Science
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WOS类目 | Computer Science, Artificial Intelligence
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WOS记录号 | WOS:000449887900006
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出版者 | Blackwell Publishing Inc.
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EI入藏号 | 20181304965637
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EI主题词 | Fuzzy inference
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EI分类号 | 703.1 Electric Networks - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 731.1 Control Systems
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来源库 | Compendex
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分类代码 | 703.1 Electric Networks - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 731.1 Control Systems
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引用统计 |
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文献类型 | 期刊论文
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条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/114185
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专题 | 理学院
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通讯作者 | Li, Jun; Xu, Xiaofu |
作者单位 | Lanzhou Univ Technol, Sch Sci, Lanzhou 730050, Gansu, Peoples R China
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第一作者单位 | 理学院
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通讯作者单位 | 理学院
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第一作者的第一单位 | 理学院
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推荐引用方式 GB/T 7714 |
Li, Jun,Xu, Xiaofu. Unified forms of the CDR method of approximate reasoning on Antanassov's intuitionistic fuzzy sets and its property analysis[J]. Computational Intelligence,2018,34(4):1101-1121.
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APA |
Li, Jun,&Xu, Xiaofu.(2018).Unified forms of the CDR method of approximate reasoning on Antanassov's intuitionistic fuzzy sets and its property analysis.Computational Intelligence,34(4),1101-1121.
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MLA |
Li, Jun,et al."Unified forms of the CDR method of approximate reasoning on Antanassov's intuitionistic fuzzy sets and its property analysis".Computational Intelligence 34.4(2018):1101-1121.
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