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Fuzzy Constraint Based Answer Validation
2005Answer 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 +2 more
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Fuzzy clustering with spatial constraints
Proceedings. International Conference on Image Processing, 2003A 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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Optimization under fuzzy rule constraints
1998Suppose we are given a mathematical programming problem in which the functional relationship between the decision variables and the objective function is not completely known. Our knowledge-base consists of a block of fuzzy if-then rules, where the antecedent part of the rules contains some linguistic values of the decision variables, and the ...
GIOVE, Silvio, CARLSSON C, FULLER R.
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Fuzzy arithmetic with requisite constraints
Fuzzy Sets and Systems, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy constraints, choice, and utility
IEEE International Conference on Systems, Man and Cybernetics, 2005We 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
1999The 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, 2002One 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 +3 more
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Simulating Fuzzy Numbers for Solving Fuzzy Equations with Constraints
2008 3rd International Conference on Innovative Computing Information and Control, 2008This paper investigates the possibility of applying genetic algorithms (GAs) to solve fuzzy equations without defining membership functions for fuzzy numbers, neither using the extension principle, interval arithmetic, and a-cut operations for fuzzy computations, nor using a penalty method for constraint violations.
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Shaping bacterial gene expression by physiological and proteome allocation constraints
Nature Reviews Microbiology, 2022Matthew Scott, Terence Hwa
exaly