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- Shoumei Li, Aihong Ren
- Fuzzy Sets and Systems
- 2007

- Aihong Ren, J Fraser Stoddart
- Knowl.-Based Syst.
- 2014

In this paper, we consider a kind of bilevel linear programming problem where the coefficients of both objective functions are fuzzy random variables. The purpose of this paper is to develop a computational method for obtaining optimistic Stackelberg solutions to such a problem. Based on a level sets of fuzzy random variables, we first transform the fuzzyâ€¦ (More)

- Chun-an Liu, J Fraser Stoddart, Aihong Ren
- APJOR
- 2015

- Xingsi Xue, J Fraser Stoddart, Aihong Ren
- Expert Syst. Appl.
- 2014

- Aihong Ren, J Fraser Stoddart, Xingsi Xue
- Soft Comput.
- 2014

In this paper, we address a class of bilevel linear programming problems with fuzzy random variable coefficients in objective functions. To deal with such problems, we apply an interval programming approach based on theÎ±-level set to construct a pair of bilevel mathematical programming models called the best and worst optimal models. Through expectationâ€¦ (More)

- Aihong Ren, J Fraser Stoddart
- Annals OR
- 2014

- Aihong Ren, J Fraser Stoddart, Fei Jia
- J. Applied Mathematics
- 2013

We propose a hybrid algorithm based on estimation of distribution algorithm (EDA) and Nelder-Mead simplex method (NM) to solve a class of nonlinear bilevel programming problems where the followerâ€™s problem is linear with respect to the lower level variable. The bilevel programming is an NP-hard optimization problem, for which EDA-NM is applied as a new toolâ€¦ (More)

- Aihong Ren, J Fraser Stoddart
- JORS
- 2015

This paper considers a class of bilevel linear programming problems in which the coefficients of both objective functions are fuzzy random variables. The main idea of this paper is to introduce the Pareto optimal solution in a multi-objective bilevel programming problem as a solution for a fuzzy random bilevel programming problem. To this end, a stochasticâ€¦ (More)

- Xingsi Xue, Jianhua Liu, Pei-Wei Tsai, Xianyin Zhan, Aihong Ren
- 2015 11th International Conference onâ€¦
- 2015

In this paper, we propose a novel approach based on Compact Genetic Algorithm (CGA) to address the problem of optimizing the aggregation of three different basic similarity measures (Syntactic Measure, Linguistic Measure and Taxonomy-based Measure), and get a single similarity metric in the process of ontology matching. Comparing with conventional Geneticâ€¦ (More)

- Jianmin Chen, Shihong Zou, Aihong Ren
- JCP
- 2013