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Applications of fuzzy set theory to mathematical programming
HJ Zimmermann - Readings in fuzzy sets for intelligent systems, 1993 - Elsevier
Mathematical programming is one of the areas to which fuzzy set theory has been applied
extensively. Primarily based on Bellman and Zadeh's model of decision in fuzzy …
extensively. Primarily based on Bellman and Zadeh's model of decision in fuzzy …
[LIVRE][B] Genetic algorithms and engineering optimization
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …
The past decade has witnessed many exciting advances in the use of genetic algorithms …
[LIVRE][B] Fuzzy sets, uncertainty, and information
GJ Klir, TA Folger - 1987 - dl.acm.org
Fuzzy sets, uncertainty, and information | Guide books skip to main content ACM Digital Library
home ACM Association for Computing Machinery corporate logo Google, Inc. (search) …
home ACM Association for Computing Machinery corporate logo Google, Inc. (search) …
[LIVRE][B] Theory and practice of uncertain programming
B Liu, B Liu - 2009 - Springer
Real-life decisions are usually made in the state of uncertainty. How do we model
optimization problems in uncertain environments? How do we solve these models? The …
optimization problems in uncertain environments? How do we solve these models? The …
[LIVRE][B] Fuzzy sets, decision making, and expert systems
HJ Zimmermann - 1987 - books.google.com
In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into
a wide-ranging collection of concepts, models, and tech niques for dealing with complex …
a wide-ranging collection of concepts, models, and tech niques for dealing with complex …
[LIVRE][B] Fuzzy mathematical programming
YJ Lai, CL Hwang, YJ Lai, CL Hwang - 1992 - Springer
Fuzzy set theory was first developed for solving the imprecise/vague problems in the field of
artificial intelligence, especially for imprecise reasoning and modelling linguistic terms. In …
artificial intelligence, especially for imprecise reasoning and modelling linguistic terms. In …
[LIVRE][B] Fuzzy multiple objective decision making
YJ Lai, CL Hwang, YJ Lai, CL Hwang - 1994 - Springer
In the previous chapter, we have discussed a variety of computationally efficient approaches
for solving crisp multiple objective decision making problems. However, the input data, such …
for solving crisp multiple objective decision making problems. However, the input data, such …
[LIVRE][B] Fuzzy mathematical techniques with applications
A Kandel - 1986 - dl.acm.org
Fuzzy mathematical techniques with applications | Guide books skip to main content ACM
Digital Library home ACM Association for Computing Machinery corporate logo Google, Inc …
Digital Library home ACM Association for Computing Machinery corporate logo Google, Inc …
A general model for fuzzy linear programming
In the current literature there are several models of fuzzy linear programming problems. The
aim of this paper is, first, to describe the more important problems in fuzzy linear …
aim of this paper is, first, to describe the more important problems in fuzzy linear …
Fuzzy set theory and mathematical programming
HJ Zimmermann - Fuzzy sets theory and applications, 1986 - Springer
Mathematical programming is one of the areas to which fuzzy set theory has been applied
extensively. Primarily based on Bellman and Zadeh's model of decision in fuzzy …
extensively. Primarily based on Bellman and Zadeh's model of decision in fuzzy …