Results 251 to 260 of about 204,319 (296)

Fuzzy semantics and fuzzy constraint networks

[1992 Proceedings] IEEE International Conference on Fuzzy Systems, 2003
After reviewing the notion of crisp constraint networks and their relationship to semantics in classical logic, the authors define fuzzy constraint networks and their relationship to fuzzy logic. Then they introduce Khayyam, a fuzzy constrained-based programming language which implements much of Zadeh's PRUF formalism.
J. Bowen, R. Lai, D. Bahler
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Fuzzy Resource Constraints Graphplan

2006 International Conference on Machine Learning and Cybernetics, 2006
Graphplan [Blum & Furst] has proved a popular and successful basis for a succession of extensions. In this paper, we explore the extent to which its representation can be used for planning with soft resource constraints. We present a new algorithm called Fuzzy Resource Constraints Graphplan (FRCGP).
Wen-xiang Gu, Fang Wang, Jia-yue Ren, Gang Hou   +3 more
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A Constraint Fuzzy Interval Analysis approach to fuzzy optimization

Information Sciences, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lodwick, Weldon A., David Jamison, K.
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Material Requirement Planning with fuzzy constraints and fuzzy coefficients

Fuzzy Sets and Systems, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mula, J., Poler, R., Garcia-Sabater, J. P.   +2 more
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Weighted Constraint Aggregation in Fuzzy Optimization

Constraints, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaymak, U., Costa Sousa, da, J.M.
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Fuzzy constraint satisfaction

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
In this paper the issue of soft constraint satisfaction is discussed from a fuzzy set theoretical point of view. A fuzzy constraint is considered as a fuzzy relation. Different possible definitions for the degree of joint satisfaction of a set of fuzzy constraints are given, covering other specific soft constraint satisfaction problem (CSP) types such ...
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Solving fuzzy constraint satisfaction problems with fuzzy GENET

Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294), 2002
Constraint satisfaction is well known to be applicable in modeling AI problems. Despite their extensive literature, the framework is sometimes inflexible and the results are not very satisfactory when applied to real-life problems. With the incorporation of the theory of fuzzy sets, fuzzy constraint satisfaction problems (FCSP's) have been exploited ...
J.H.Y. Wong, null Ho-Fung Leung
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Fuzzy Temporal Logic on Fuzzy Temporal Constraint Networks

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
The aim of this work is to integrate the ideas of flexibility and uncertainty into Allen’s interval-based temporal logic[1], defining a new formalism which extends classical interval Algebra. We refer to fuzzy temporal constraint satisfaction problem, in which constraints are satisfied to a degree, which is based on fuzzy sets.
Liguo Deng, Yunpeng Cai, Chen Wang, Yan Jiang   +3 more
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Fuzzy Constraint-Based Agent Negotiation

Journal of Computer Science and Technology, 2005
Conflicts between two or more parties arise for various reasons and perspectives. Thus, resolution of conflicts frequently relies on some form of negotiation. This paper presents a general problem-solving framework for modeling multi-issue multilateral negotiation using fuzzy constraints.
Menq-Wen Lin, K. Robert Lai, Ting-Jung Yu   +2 more
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Fuzzy clustering with structural constraints

Fuzzy Sets and Systems, 1999
Abstract In this paper we propose a generalization of the standard clustering problem, which we call Structural Constrained Clustering (SCC) problem. In SCC problem, the cluster interconnections are given by a binary relation R. If this relation is empty then SCC problem reduces to the standard classification problem. The cluster structure imposed by
Victor Chepoi, Dan Dumitrescu
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