摘要
为解决属性间具有优先级关系的区间双边犹豫模糊多属性决策问题,定义了区间双边犹豫模糊优先加权平均(IVDHFPWA)算子。首先允许决策者采用区间双边犹豫模糊数这种更直观的方法来表达决策信息,然后利用得分值获得具有优先关系的属性权重,并提出了IVDHFPWA算子并论证了相关性质,进而构建了一种基于IVDHFPWA算子的具有属性优先关系的多属性决策方法。最后,将方法应用在应急预案的选择中。
This paper focuses on tackling complex multiple attribute decision making problems with decision hesitancy and prioritized relationship between attributes. Firstly, we employ interval-valued dual hesitant fuzzy set to help decision makers to express their decision hesitancy more comprehensively. Then, by use of score function for obtaining the attribute weights with prioritized relationship, we propose the interval-valued dual hesitant fuzzy prioritized weighted averaging （IVDHFPWA） operator. Also, its desirable properties are further analyzed. Subsequently, based on the IVDHFPWA operator, we construct an approach for multiple attribute decision making with prioritized relationship between different attributes under interval-valued dual hesitant fuzzy environments. Finally, we carry out case study on selection of contingency plans to show effectiveness and practicality of the proposed approach.
出处
《模糊系统与数学》
北大核心
2017年第3期112-119,共8页
Fuzzy Systems and Mathematics
基金
教育部人文社会科学研究项目(11YJC630283
16YJC630094)
浙江省自然科学基金青年基金资助项目(LQ17G010002)
国家自然科学基金资助项目(71201145
71203199)
关键词
区间双边犹豫模糊数
优先加权平均算子
区间双边犹豫模糊优先加权平均算子
多属性决策
应急预案选择
Interval-valued Dual Hesitant Fuzzy Number
Prioritized Weighted Averaging Operator
Interval-valued Dual Hesitant Fuzzy Prioritized Weighted Averaging Operator
Multiple Attribute Decision Making
Contingency Plan Selection
