基于直觉模糊集合的软件质量评价模型  

Software Quality Evaluation Model Based on Intuitionistic Fuzzy Set

作　　者：禹建丽 卢皎 陈洪根 YU Jian-li;LU Jiao;CHEN Hong-gen(School of Management Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450046,China)

机构地区：[1]郑州航空工业管理学院管理工程学院,郑州450046

出　　处：《科学技术与工程》2020年第27期11180-11184,共5页Science Technology and Engineering

基　　金：国家自然科学基金(U1404702);河南省科技攻关项目(182102210107);河南省高等学校重点科研项目(20A520041)。

摘　　要：为了合理地评价软件质量,研究了一种基于直觉模糊集合的多属性决策软件质量评价模型。该模型在模糊子集的隶属度的基础上,加入非隶属度及犹豫度,从这三个方面对软件质量指标进行评价,使之更加符合人们对事物评价的不确定性及犹豫程度。同时,结合了直觉模糊熵权法来确定评价指标的权重值,更加客观,并利用广义直觉模糊混合加权算数平均(generalized intuitionistic fuzzy hybrid weighted averaging,GIFHWA)算子对直觉模糊集合进行集成,通过具体案例的结果对比,验证了给出的软件质量评价模型的有效性。To evaluate software quality reasonably,a multi-attribute decision-making software quality evaluation model was studied based on intuitionistic fuzzy sets.Based on the membership degree of fuzzy subsets,non-membership and hesitation were added to the model.The evaluation of software quality indicators from the three aspects was more consistent with the uncertainty and hesitation of people's evaluation of things..Meanwhile,the intuitionistic fuzzy entropy weight method was applied to determine the weight value of the evaluation index,and the GIFHWA(generalized intuitionistic fuzzy hybrid weighted averaging)operator was used to integrate the intuitionistic fuzzy set.The comparison of the results of the specific case shows that the software quality evaluation model proposed is effective.

关 键 词：软件质量评价 直觉模糊集 GIFHWA算子 多属性决策 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]