Abstract
The decision analysis with fuzzy objective or fuzzy constraints is natural in some real-world applications, and sometimes such analysis seems to be inevitable. Credibilistic programming is a type of mathematical programming for handling the fuzzy decision problems. In the past years, researchers have proposed various efficient modeling approaches including expected value model, chance-constrained programming model, entropy optimization model, cross-entropy minimization model, and regret minimization model. This chapter provides a general description on credibilistic programming. In addition, a brief introduction on genetic algorithm will also be given.
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Li, X. (2013). Credibilistic Programming. In: Credibilistic Programming. Uncertainty and Operations Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36376-4_2
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DOI: https://doi.org/10.1007/978-3-642-36376-4_2
Publisher Name: Springer, Berlin, Heidelberg
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