JACIII Vol.20 No.1 pp. 5-12
doi: 10.20965/jaciii.2016.p0005


Fuzzy Nonlinear Programming for Production Inventory Based on Statistical Data

Lily Lin* and Huey-Ming Lee**

*Department of International Business, China University of Technology
56, Section 3, Hsing-Lung Road, Taipei 116, Taiwan

**Department of Information Management, Chinese Culture University
55 Hwa-kang Road, Yang-Ming-Shan, Taipei 11114, Taiwan

December 29, 2013
April 8, 2015
Online released:
January 19, 2016
January 20, 2016
interval-valued fuzzy number, confidence interval, nonlinear programming
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-β, 1-α) interval-valued fuzzy numbers, in order to solve problems in nonlinear programming for production inventory in the fuzzy sense.
Cite this article as:
L. Lin and H. Lee, “Fuzzy Nonlinear Programming for Production Inventory Based on Statistical Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.1, pp. 5-12, 2016.
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Last updated on May. 10, 2024