{"title":"Job scheduling using ranking fuzzy number method","authors":"Koun-Tem Sun","doi":"10.1109/KES.1998.725958","DOIUrl":null,"url":null,"abstract":"Proposes a fuzzy ranking method to solve job scheduling problems. The proposed fuzzy ranking method is based on the concept of the center of gravity method. For each job in a job scheduling problem, the profit is transferred into the membership value, and the deadline is transferred into the value of a fuzzy element X. Then, each job can be transferred into a fuzzy number, and we can find the centroid (center) of this fuzzy number by applying the proposed fuzzy ranking method. Based on these ranking values, a good job sequencing can be obtained. Simulation tests show that generated solutions by the ranking fuzzy number approach are better than by the traditional greedy algorithm for solving the complex job scheduling problems.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KES.1998.725958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Proposes a fuzzy ranking method to solve job scheduling problems. The proposed fuzzy ranking method is based on the concept of the center of gravity method. For each job in a job scheduling problem, the profit is transferred into the membership value, and the deadline is transferred into the value of a fuzzy element X. Then, each job can be transferred into a fuzzy number, and we can find the centroid (center) of this fuzzy number by applying the proposed fuzzy ranking method. Based on these ranking values, a good job sequencing can be obtained. Simulation tests show that generated solutions by the ranking fuzzy number approach are better than by the traditional greedy algorithm for solving the complex job scheduling problems.
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基于排序模糊数法的作业调度
提出了一种求解作业调度问题的模糊排序方法。提出了基于重心法概念的模糊排序方法。对于作业调度问题中的每个作业,将利润转化为隶属度值,将最后期限转化为一个模糊元素x的值,然后将每个作业转化为一个模糊数,并应用本文提出的模糊排序方法找到该模糊数的质心(中心)。基于这些排序值,可以得到一个好的作业排序。仿真实验表明,排序模糊数法生成的解比传统的贪心算法求解复杂作业调度问题的解要好。
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