THE INTERVAL-VALUED INTUITIONISTIC FUZZY GEOMETRIC CHOQUET AGGREGATION OPERATOR BASED ON THE GENERALIZED BANZHAF INDEX AND 2-ADDITIVE MEASURE

数学 操作员(生物学) Choquet积分 模糊测度理论 度量(数据仓库) 模糊逻辑 熵(时间箭头) 模糊集 区间(图论) 模糊数 离散数学 数学优化 组合数学 计算机科学 人工智能 数据挖掘 量子力学 转录因子 生物化学 基因 物理 抑制因子 化学
作者
Fanyong Meng,Qiang Zhang,Jiaquan Zhan
出处
期刊:Technological and Economic Development of Economy [Vilnius Gediminas Technical University]
卷期号:21 (2): 186-215 被引量:28
标识
DOI:10.3846/20294913.2014.946983
摘要

Based on the operational laws on interval-valued intuitionistic fuzzy sets, the generalized Banzhaf interval-valued intuitionistic fuzzy geometric Choquet (GBIVIFGC) operator is proposed, which is also an interval-valued intuitionistic fuzzy value. It is worth pointing out that the GBIVIFGC operator can be seen as an extension of some geometric mean operators. Since the fuzzy measure is defined on the power set, it makes the problem exponentially complex. In order to overall reflect the interaction among elements and reduce the complexity of solving a fuzzy measure, we further introduce the GBIVIFGC operator w.r.t. 2-additive measures. Furthermore, if the information about weights of experts and attributes is incompletely known, the models of obtaining the optimal 2-additive measures on criteria set and expert set are given by using the introduced cross entropy measure and the Banzhaf index. Finally, an approach to pattern recognition and multi-criteria group decision making under interval-valued intuitionistic fuzzy environment is developed, respectively.
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