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Titlebook: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty; Roman Slowinski,Jacques Teghem Book 1990

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發(fā)表于 2025-3-26 23:06:53 | 只看該作者
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發(fā)表于 2025-3-27 03:18:26 | 只看該作者
33#
發(fā)表于 2025-3-27 05:23:52 | 只看該作者
Fuzzy Programming: A Survey of Recent DevelopmentsIn this paper, a survey of the major types of fuzzy programming is provided classifying into the following three categories; mathematical programming with vagueness, mathematical programming with ambiguity and mathematical programming with vagueness and ambiguity.
34#
發(fā)表于 2025-3-27 10:16:50 | 只看該作者
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發(fā)表于 2025-3-27 17:08:35 | 只看該作者
Fulpal — An Interactive Method for Solving (Multiobjective) Fuzzy Linear Programming Problemsbased on .spiration .evels), which can be controlled by aspiration levels. This general method includes the procedure for solving LP-problems with soft constraints, proposed by ZIMMERMANN [1978],[ROMMELFANGER 1983], [WERNERS 1984] a.o.
36#
發(fā)表于 2025-3-27 20:51:11 | 只看該作者
Book 1990nization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise dat
37#
發(fā)表于 2025-3-28 00:05:50 | 只看該作者
38#
發(fā)表于 2025-3-28 02:23:40 | 只看該作者
“Strange” : An Interactive Method for Multiobjective Stochastic Linear Programming, and “Strange-Mominvolves in particular some concepts of stochastic programming and uses a parametric analysis at each interactive phase to provide the decision maker with detailed information on a large set of efficient solutions. STRANGE-MOMIX is the extension of the method to problems including some integer variables.
39#
發(fā)表于 2025-3-28 06:22:55 | 只看該作者
40#
發(fā)表于 2025-3-28 13:26:21 | 只看該作者
Application of “Strange” to Energy Studieslished case studies applicable to nuclear and renewable energies. The paper also shows how extensions of the method towards non-linear functions and mixed integer variables increase the usefulness of the approach in real cases.
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