基于多目标粗糙集的土壤氟污染修复药剂优选  

Study on the Optimization of Fluoride Contamination Remediation Agents Based on Multi-Objective Rough Sets

作　　者：盘丽珍 Pan Lizhen(Hunan Xiangyu Engineering Technology Co.,Ltd.,Changsha 410007)

机构地区：[1]湖南湘禹工程科技有限公司,湖南长沙410007

出　　处：《中阿科技论坛（中英文）》2024年第10期58-64,共7页China-Arab States Science and Technology Forum

摘　　要：在土壤氟污染修复药剂优选过程中,采用全面试验或正交试验常存在试验组过多或方案设计复杂的问题。对此,文章运用粗糙集理论构建多目标的粗糙集药剂试验优选方法。该方法将试验条件随机化,分析各组试验结果,收集药剂类型、用量及氟初始含量等信息,构建涵盖条件属性和决策属性,包含效果、成本及环保等多目标的粗糙集知识系统。通过对各目标进行属性约简,利用最优约简生成最小规则集的可信规则,并根据可信规则中上向或下向涵盖的优势关系分析药剂优劣。试验结果表明,该方法具有无须设计且试验组少、信息全面可信的优点。In the process of selecting remediation agents for fluoride contamination,there are often problems with too many experimental groups or complex design schemes in comprehensive or orthogonal experiments.In this regard,the article applies rough set theory to construct a multi-objective pharmaceutical testing method.This method randomizes the experimental conditions,analyzes the test results of each group to obtain information such as drug type,drug dosage,and initial fluoride content,in order to construct a rough set knowledge system that covers condition attributes and decision attributes,and contains multiple objectives such as effectiveness,cost,and environmental protection.By simplifying the attributes of each objective,the optimal simplification is used to generate the minimum set of trusted rules,and the pros and cons of the drugs are analyzed based on the upward or downward coverage of the dominance relationships in the trusted rules.The experimental results show that this method exhibits merits of no need for design,fewer experimental groups,and can provide comprehensive and reliable information.

关 键 词：土壤氟污染 修复药剂 多目标 粗糙集 

分 类 号：S156[农业科学—土壤学]