Conference proceeding
A Class of Chance Constrained Linear Bi-Level Programming with Random Fuzzy Coefficients
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, v 362, pp 423-433
01 Jan 2015
Abstract
In this paper, we consider a class of linear bi-level programming with random fuzzy coefficients, which has no mathematical meaning because of the uncertain factors. So in order to make it solvable, we introduced the linear chance constrained bi-level model. And some theorems are proposed to obtain the equivalent model. Then we employ the interactive programming technique to deal with the bi-level equivalent model. At last an illustrative example is present to show the efficiency.
Metrics
Details
- Title
- A Class of Chance Constrained Linear Bi-Level Programming with Random Fuzzy Coefficients
- Creators
- Xiaoyang Zhou - Shaanxi Normal UniversityYan Tu - Sichuan UniversityRuijia Hu - Hunan UniversityBenjamin Lev - Drexel University
- Contributors
- J Xu (Editor)S Nickel (Editor)V C Machado (Editor)A Hajiyev (Editor)
- Publication Details
- PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, v 362, pp 423-433
- Series
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Nature
- Number of pages
- 11
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000377959100036
- Scopus ID
- 2-s2.0-84937393428
- Other Identifier
- 991019168744804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Operations Research & Management Science