A dynamic hesitant fuzzy linguistic group decisionmaking(DHFLGDM) problem is studied from the perspective of information reliability based on the theory of hesitant fuzzy linguistic term sets(HFLTSs). First, an approa...A dynamic hesitant fuzzy linguistic group decisionmaking(DHFLGDM) problem is studied from the perspective of information reliability based on the theory of hesitant fuzzy linguistic term sets(HFLTSs). First, an approach is applied to transform the dynamic HFLTSs(DHFLTSs) into a set of proportional linguistic terms to eliminate the time dimension. Second, expert reliability is measured by considering both group similarity and degree of certainty, and an optimization method is employed to quantify the linguistic terms by maximizing the group similarity. Third, through computing the attribute stability as well as its reliability, a combination rule which considers both reliability and weight is proposed to aggregate the information, and then the aggregated grade values and degree of stability are used to make a selection. Finally,the application and feasibility of the proposed method are verified through a case study and method comparison.展开更多
针对现有化学反应优化算法存在的不足,提出一种基于粒子群优化算法(particle swarm optimization,PSO)和自适应化学反应优化算法(adaptive chemical reaction optimization,ACRO)相结合的混合算法(a hybrid optimization based on ACRO ...针对现有化学反应优化算法存在的不足,提出一种基于粒子群优化算法(particle swarm optimization,PSO)和自适应化学反应优化算法(adaptive chemical reaction optimization,ACRO)相结合的混合算法(a hybrid optimization based on ACRO and PSO,ACRO-PSO)。在ACRO算法的领域算子基础上,融入PSO算法的全局算子,加入权重系数控制本地搜索和全局搜索的比例,修改分解反应合化合反应出现的时机,利用化合反应输出最优解,采用标准测试函数对ACRO-PSO进行性能分析。仿真结果表明,ACRO-PSO算法能高效地解决待优化问题。展开更多
基金supported by the National Natural Science Foundation of China(71171112 71502073+2 种基金 71601002)the Scientific Innovation Research of College Graduates in Jiangsu Province(KYZZ150094)the Anhui Provincial Natural Science Foundation(1708085MG168)
文摘A dynamic hesitant fuzzy linguistic group decisionmaking(DHFLGDM) problem is studied from the perspective of information reliability based on the theory of hesitant fuzzy linguistic term sets(HFLTSs). First, an approach is applied to transform the dynamic HFLTSs(DHFLTSs) into a set of proportional linguistic terms to eliminate the time dimension. Second, expert reliability is measured by considering both group similarity and degree of certainty, and an optimization method is employed to quantify the linguistic terms by maximizing the group similarity. Third, through computing the attribute stability as well as its reliability, a combination rule which considers both reliability and weight is proposed to aggregate the information, and then the aggregated grade values and degree of stability are used to make a selection. Finally,the application and feasibility of the proposed method are verified through a case study and method comparison.
文摘针对现有化学反应优化算法存在的不足,提出一种基于粒子群优化算法(particle swarm optimization,PSO)和自适应化学反应优化算法(adaptive chemical reaction optimization,ACRO)相结合的混合算法(a hybrid optimization based on ACRO and PSO,ACRO-PSO)。在ACRO算法的领域算子基础上,融入PSO算法的全局算子,加入权重系数控制本地搜索和全局搜索的比例,修改分解反应合化合反应出现的时机,利用化合反应输出最优解,采用标准测试函数对ACRO-PSO进行性能分析。仿真结果表明,ACRO-PSO算法能高效地解决待优化问题。
