Fuzzy Monte Carlo Method
作者： James J. Buckley , Leonard J. Jowers
DOI: 10.1007/978-3-540-76290-4_6
关键词: Monte Carlo method 、 Algebra 、 Monte Carlo integration 、 Fuzzy logic 、 Hybrid Monte Carlo 、 Monte Carlo method in statistical physics 、 Quasi-Monte Carlo method 、 Rejection sampling 、 Fuzzy number 、 Computer science
摘要: This chapter introduces our fuzzy Monte Carlo method. We will be working with a very simple linear programming problem. The crisp program is presented in the next section. Then we fuzzify third make some of parameters problem triangular numbers and allow all variables to shaped numbers. need decide on definition ≤ between use Kerre’s method (Section 2.6.2 Chapter 2) first then Chen’s 2.6.3 second. chapter, Chapters 7 8, are based ([5],[6]), see also ([3],[4]).
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