Results 261 to 270 of about 204,319 (296)

ON PROGRAMMING WITH FUZZY CONSTRAINT SETS

Kybernetes, 1977
Two solution concepts for a FMP problem are suggested. The first one makes use of level sets of the fuzzy set of feasible alternatives. The second solution is based on the concept of Pareto maximum in vector optimization. It is shown that both solutions are equivalent in a sense that they give the same fuzzy value of a function maximized.
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Constraints on fuzzy values and fuzzy functional dependencies

Information Sciences, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Solving fuzzy constraint satisfaction problems

Proceedings of 6th International Fuzzy Systems Conference, 2002
Up to date, most of the research on constraint satisfaction has considered crisp constraints. Currently new types of constraints are being considered, allowing for intermediate satisfaction degrees between complete satisfaction and complete violation.
P. Meseguer, J. Larrosa
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Examination Timetabling with Fuzzy Constraints

2005
The aim of this paper is to consider flexible constraint satisfaction in timetabling problems. The research is carried out in the context of university examination timetabling. Examination timetabling is subject to two types of constraints: hard constraints that must not be violated, and soft constraints that often have to be violated to some extent ...
Sanja Petrovic, Vijay Patel, Yong Yang
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Fuzzy Constraint Based Answer Validation

2005
Answer validation is an important component of any question answering system. In this paper we show how the formalism of prioritized fuzzy constraint satisfaction allows to unify and generalize some common validation strategies. Moreover, answer candidates are represented by fuzzy sets, which allows to handle imprecise answers.
Steven Schockaert, Martine De Cock, Etienne E. Kerre   +2 more
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Fuzzy clustering with spatial constraints

Proceedings. International Conference on Image Processing, 2003
A novel approach to fuzzy clustering for image segmentation is described. The fuzzy C-means objective function is generalized to include a spatial penalty on the membership functions. The penalty term leads to an iterative algorithm that is only slightly different from the original fuzzy C-means algorithm and allows the estimation of spatially smooth ...
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Fuzzy arithmetic with requisite constraints

Fuzzy Sets and Systems, 1997
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Fuzzy constraints, choice, and utility

IEEE International Conference on Systems, Man and Cybernetics, 2005
We revisit the notion of fuzzy revealed preference, with the intention of using it in decision making. A decision making agent manages resources that are priced, and it has a certain wealth. We review proposed fuzzifications of preference relations. Although they are well founded, they cannot deal well with decision making under fuzzy constraints.
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Closure Operators, Fuzzy Logic and Constraints

1999
The notion of closure operator is very useful in several areas of classical mathematics and this suggests to extend it to the framework of fuzzy set theory. In particular, the theory of closure operator gives a powerful tool for (crisp) logics and this since the deduction operator of any monotone logic is a closure operator.
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Fuzzy constraint networks for process control

Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002
One of the criticisms of rule-based fuzzy controllers has been their use of only shallow knowledge bases. This shallowness is primarily attributable to the expressiveness of rule-based systems, which is that of the Horn clause subset of first-order predicate calculus (FOPC). We would argue that the language in which declarative knowledge is represented
S. Rangaswamy, D. Bahler, null Ching-Yu Tyan, P. Wang   +3 more
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