Fuzzy Nonlinear Programming for Production Inventory Based on Statistical Data

作     者：Lin, Lily Lee, Huey-Ming 

作者机构：China Univ Technol Dept Int Business 56Sect 3Hsing Lung Rd Taipei 116 Taiwan Chinese Culture Univ Dept Informat Management 55 Hwa Kang Rd Taipei 11114 Taiwan 

出 版 物：《JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS》 (J. Adv. Comput. Intell. Intelligent Informatics)

年 卷 期：2016年第20卷第1期

页      面：5-12页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：interval-valued fuzzy number confidence interval nonlinear programming 

摘      要：The purpose of this study is to develop a crisp nonlinear method of programming to address production inventory problems based on both production inventory and conditions. In addition, we use a statistical confidence interval to derive level (1-beta, 1-alpha) interval-valued fuzzy numbers, in order to solve problems in nonlinear programming for production inventory in the fuzzy sense.