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首页> 外文期刊>International journal of uncertainty, fuzziness and knowledge-based systems >INTUITIONISTIC FUZZY LINGUISTIC QUANTIFIERS BASED ON INTUITIONISTIC FUZZY-VALUED FUZZY MEASURES AND INTEGRALS
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INTUITIONISTIC FUZZY LINGUISTIC QUANTIFIERS BASED ON INTUITIONISTIC FUZZY-VALUED FUZZY MEASURES AND INTEGRALS

机译:基于直觉模糊值模糊度量和积分的直觉模糊语言量词

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摘要

In this paper, we generalize Ying's model of linguistic quantifiers [M.S. Ying, Linguistic quantifiers modeled by Sugeno integrals, Artificial Intelligence, 170 (2006) 581-606] to intuitionistic linguistic quantifiers. An intuitionistic linguistic quantifier is represented by a family of intuitionistic fuzzy-valued fuzzy measures and the intuitionistic truth value (the degrees of satisfaction and non-satisfaction) of a quantified proposition is calculated by using intuitionistic fuzzy-valued fuzzy integral. Description of a quantifier by intuitionistic fuzzy-valued fuzzy measures allows us to take into account differences in understanding the meaning of the quantifier by different persons. If the intuitionistic fuzzy linguistic quantifiers are taken to be linguistic fuzzy quantifiers, then our model reduces to Ying's model. Some excellent logical properties of intuitionistic linguistic quantifiers are obtained including a prenex norm form theorem. A simple example is presented to illustrate the use of intuitionistic linguistic quantifiers.
机译:在本文中,我们概括了Ying的语言量词模型[M.S. Ying,通过Sugeno积分建模的语言量词,人工智能,170(2006)581-606]到直觉语言量词。直觉语言量词由直觉模糊值模糊度量族表示,并且通过使用直觉模糊值模糊积分来计算量化命题的直觉真实值(满意和不满意的程度)。通过直觉模糊值模糊量度对量词的描述使我们能够考虑到不同人在理解量词含义上的差异。如果将直觉模糊语言量词视为语言模糊量词,那么我们的模型将简化为Ying模型。获得了直觉语言量词的一些出色的逻辑特性,其中包括前向范数定理。给出一个简单的例子来说明直觉语言量词的使用。

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