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The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets

机译:具有区间2型模糊集的模糊分析网络过程(FANP)的理论结构

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The Fuzzy Analytic Network Process has solved multi- criteria decision making problems. Type-1 fuzzy sets used defining as expert’s linguistic judgement because fuzzy set theory is concerned with uncertainty in human thought and perception. Type-2 fuzzy sets generalized type-1 fuzzy sets so creates more uncertainty while defining membership function. Some fiizzy multi-criteria decision making problems are extended by using type-2 fuzzy sets. Due to general type-2 fuzzy sets are more complicated, it suggested to use interval type-2 fuzzy sets for handling uncertainty. Fuzzy Analytic Network Process (FANP) method is a widely used multi-criteria to handle interaction among the criteria and linguistic variables. In this paper, we propose a new approach which is a fuzzy analytic network process method together with using interval type-2 fuzzy sets. This approach includes linguistic variables in interval type-2 fuzzy sets.
机译:模糊分析网络过程解决了多准则决策问题。类型1模糊集用于定义为专家的语言判断,因为模糊集理论与人类思想和感知的不确定性有关。类型2模糊集广义类型1模糊集在定义隶属函数时会产生更多不确定性。通过使用类型2模糊集扩展了一些复杂的多准则决策问题。由于一般的2型模糊集更为复杂,因此建议使用区间2型模糊集来处理不确定性。模糊分析网络过程(FANP)方法是一种广泛使用的多准则,用于处理准则和语言变量之间的相互作用。在本文中,我们提出了一种新的方法,即结合区间2型模糊集的模糊分析网络处理方法。该方法包括区间类型2模糊集中的语言变量。

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