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n维模糊集的扩展原理及其性质
引用本文:张莲,商有光.n维模糊集的扩展原理及其性质[J].辽宁师范大学学报(自然科学版),2012(1):13-18.
作者姓名:张莲  商有光
作者单位:铁岭师范高等专科学校;中央财经大学金融学院
摘    要:扩展原理是模糊数学理论最基本原理之一,具有重要的理论意义与实际应用价值,而对n维模糊集扩展原理的研究不仅可以进一步丰富模糊数学的基本理论,而且还对n维模糊集的应用提供理论支撑.根据n维模糊集的截集、分解定理和表现定理,利用模糊集的扩展原理,建立n维模糊集的扩展原理.首先对应不同截集下得到的n维模糊集的3个分解定理和3个表现定理,给出相应的n维模糊集的3个扩展原理;其次,结合n维模糊集运算的定义及模糊集扩展原理的性质,讨论了n维模糊集扩展原理的有关性质;最后,给出复合函数的n维模糊集扩展原理,并利用复合函数的模糊集扩展原理的性质,讨论了复合函数的n维模糊集扩展原理的性质.

关 键 词:扩展原理  截集  咒维模糊集  n维模糊集的扩展原理

Extension principle on n-dimensional fuzzy sets and properties
ZHANG Lian,SHANG You-guang.Extension principle on n-dimensional fuzzy sets and properties[J].Journal of Liaoning Normal University(Natural Science Edition),2012(1):13-18.
Authors:ZHANG Lian  SHANG You-guang
Institution:1.Tieling Normal College,Tieling 112001,China;2.School of Finance,Central University of Finance and Economics,Beijing 100081,China)
Abstract:The extension principle of fuzzy set,with the important theoretical significance and application value,is a fundamental principle.So,the research about the extension principle of n-dimensional fuzzy set will not only further enrich the basic theory of fuzzy mathematics but also provide theoretic basis for the application of n-dimensional fuzzy set.According to the cut sets,decomposition theorem and representation theorem of n-dimensional fuzzy set,using the extension principle of fuzzy set,the extension principle of n-dimensional fuzzy set is established.Firstly,in accordance with three kinds of decomposition theorem and three kinds of representation theorem of n-dimensional fuzzy set,three kinds of extension principle of n-dimensional fuzzy set are given.Secondly,under the operations of n-dimensional fuzzy set and the properties of fuzzy set ’ s extension principle,the properties of extension principle of n-dimensional fuzzy set are discussed.Finally,the n-dimensional fuzzy set ’ s extension principle of the composite functions and their properties are acquired.
Keywords:extension principle  cut sets  n-dimensional fuzzy sets  extension principle of n-dimensional fuzzy sets
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