计算机应用研究2011，Vol.28Issue(2)：477-480,4.DOI:10.3969/j.issn.1001-3695.2011.02.019
一种模糊偏好排序的多目标粒子群算法
Fuzzy preference ranking of multi-objective particle swarm optimization algorithm
摘要
Abstract
In order to transfer fuzzy evaluation information of objective' s attributes into objective preference information, this paper transferred fuzzy semantics into triangular fuzzy number, and used generalized additive function, an approximate multiplication and a scalar multiplication between fuzzy numbers to compute.Then transferred discrete levels of objective' s attributes to integrated levels, and used fuzzy sorting multi-indexes to define weights of method makers.After that, defined a fuzzy integrated indexes to determine each objective sorting weight, defined a fitness function of multi-objective Pareto solutions based on these objective weights,and used particle swarm algorithm to solve the multi-objective problems.Finally, used a case to illustrate the algorithm's feasibility.关键词
模糊效用/模糊评价/多属性/多目标/粒子群分类
信息技术与安全科学引用本文复制引用
李世威,王建强,曾俊伟..一种模糊偏好排序的多目标粒子群算法[J].计算机应用研究,2011,28(2):477-480,4.基金项目
国家社会科学基金资助项目(08XTQ010) （08XTQ010）
甘肃省自然科学基金资助项目(096RJZA088) （096RJZA088）
