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An algorithm for solving linear optimization problems subject to a system of fuzzy relational inequalities with the max-Einstein composition

  • Chia Cheng Liu
  • , Jiing Yurn Lyu
  • , Yan Kuen Wu*
  • , Sy Ming Guu
  • *此作品的通信作者
  • Vanung University Taiwan
  • General Education Center Vanung University
  • Yuan Ze University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

摘要

Two algorithms for solving linear optimization problems subject to a system of fuzzy relational inequalities (FRI) with the max-Einstein composition was proposed by Abbasi Molai [1]. However, it is too expensive to obtain the optimal solution by verifying a lot of quasi-minimal solutions. In this paper, some rules are proposed for reducing the size of problem and obtaining the optimal solution without verifying any quasi-minimal solutions to some problems. Numerical examples are presented to illustrate the efficiency of the proposed algorithm.

原文英語
主出版物標題Proceedings of the 2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012
頁面221-225
頁數5
DOIs
出版狀態已出版 - 2012
對外發佈是
事件2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012 - Harbin, Heilongjiang, 中國
持續時間: 23 06 2012 → 26 06 2012

出版系列

名字Proceedings of the 2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012

Conference

Conference2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012
國家/地區中國
城市Harbin, Heilongjiang
期間23/06/12 → 26/06/12

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