burgeon 发表于 2025-3-21 16:24:53
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Ralph-Hardo Schulz perspective, it is quanti?cation which makes all the di?- ence between “having no dollars” and “having a lot of dollars”. And it is the meaning of the quanti?er “most” which eventually decides if “Most Ame- cans voted Kerry” or “Most Americans voted Bush” (as it stands). Natural language(NL)quanti?愚笨 发表于 2025-3-22 11:45:12
Ralph-Hardo Schulzthe meaning of the quanti?er “most” which eventually decides if “Most Ame- cans voted Kerry” or “Most Americans voted Bush” (as it stands). Natural language(NL)quanti?erslike“all”,“almostall”,“many”etc. serveanimp- tant purpose because they permit us to speak about properties of collections, as oppo清洗 发表于 2025-3-22 16:13:28
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Ralph-Hardo Schulzl”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e978-3-642-06743-3978-3-540-32503-1Series ISSN 1434-9922 Series E-ISSN 1860-0808无关紧要 发表于 2025-3-23 00:36:28
Ralph-Hardo Schulzl”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e978-3-642-06743-3978-3-540-32503-1Series ISSN 1434-9922 Series E-ISSN 1860-0808文件夹 发表于 2025-3-23 02:34:56
are applicable without restriction to arbitrary geometrically and physically nonlinear problems. The most important forms of the latter are the Fuzzy Finite Element Method (FFEM) and the Fuzzy Stochastic Finite978-3-642-07312-0978-3-662-07358-2Boycott 发表于 2025-3-23 08:40:17
itional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like “tall”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e