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- Ruey-Ming Chao, Hsien-Chung Wu, Chih-Chiang Lee, Yen-Ping Chu
- EURASIP J. Information Security
- 2009

- Hsien-Chung Wu
- Computational Statistics & Data Analysis
- 2003

The method for obtaining the fuzzy estimates of regression parameters with the help of “Resolution Identity” in fuzzy sets theory is proposed. The -level least-squares estimates can be obtained from the usual linear regression model by using the -level real-valued data of the corresponding fuzzy input and output data. The membership functions of fuzzy… (More)

- Elmira Popova, Hsien-Chung Wu
- European Journal of Operational Research
- 1999

The application of fuzzy set theory to renewal reward processes is proposed in this paper. The reward is modeled as a fuzzy random variable. A theorem which presents the long-run average fuzzy reward per unit time is stated. A procedure to obtain the best T-age replacement policy with fuzzy cost structure is developed. The original problem is transformed… (More)

- Hsien-Chung Wu
- FO & DM
- 2009

- Hsien-Chung Wu
- Math. Meth. of OR
- 2007

- Hsien-Chung Wu
- Computers & Mathematics with Applications
- 2008

The optimality conditions for linear programming problems with fuzzy coefficients are derived in this paper. Two solution concepts are proposed by considering the orderings on the set of all fuzzy numbers. The solution concepts proposed in this paper will follow from the similar solution concept, called the nondominated solution, in the multiobjective… (More)

- Hsien-Chung Wu
- Computers & OR
- 2004

- Hsien-Chung Wu
- FO & DM
- 2003

- Hsien-Chung Wu
- Mathematical and Computer Modelling
- 2008

Scalarization of the multiobjective programming problems with fuzzy coefficients using the embedding theorem and the concept of convex cone (ordering cone) is proposed in this paper. Since the set of all fuzzy numbers can be embedded into a normed space, this motivation naturally inspires us to invoke the scalarization techniques in vector optimization… (More)

- Hsien-Chung Wu
- Computers & Industrial Engineering
- 2004

The Bayesian reliability estimation under fuzzy environments is proposed in this paper. In order to apply the Bayesian approach, the fuzzy parameters are assumed to be fuzzy random variables with fuzzy prior distributions. The (conventional) Bayesian estimation method will be used to create the fuzzy Bayes point estimator of reliability by invoking the… (More)