CAJ | 학술논문

针对现有直觉模糊集(数)间相似度量方法大都未考虑犹豫度，其计算方法只适用于一些特定场合的问题，基于直觉模糊集的定义，提出了一种新的相似度量方法。新的相似度计算公式由隶属度、非隶属度、犹豫度和扩展记分函数组成，具有一些新的性质。将新的直觉模糊集(数)间相似度量方法应用于医疗方案优选，通过实例给出如何将原始数据转化为直觉模糊数据，之后用直觉模糊集间相似度量来解决该问题。实例表明，所提方法实用、有效。
침대현유직각모호집(수)간상사도량방법대도미고필유예도，기계산방법지괄용우일사특정장합적문제，기우직각모호집적정의，제출료일충신적상사도량방법。신적상사도계산공식유대속도、비대속도、유예도화확전기분함수조성，구유일사신적성질。장신적직각모호집(수)간상사도량방법응용우의료방안우선，통과실례급출여하장원시수거전화위직각모호수거，지후용직각모호집간상사도량래해결해문제。실례표명，소제방법실용、유효。
Most existing similarity measures between intuitionistic fuzzy sets (values) do not take the hesitation degree into account, and the calculation method is only suitable for some certain situations. Based on the definition of intuitionistic fuzzy sets, a new similarity measure method is proposed. The new similarity formula is composed of membership degree, non membership degree, hesitation degree and expansion score function, and has some new properties. In this paper, the new similarity measure method between intuitionistic fuzzy sets (values) is applied to the medical scheme optimization. Through the examples, shows how to translate the raw data into intuitionistic fuzzy data, and to solve the problem with the new similarity measure method. Examples show that the proposed method is practical and effective.