Results 1 to 10 of about 1,660,444 (238)
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints [PDF]
CoRR, 2021 In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i.e., must-link or cannot-link) to fuzzy pairwise constraint. The fuzzy pairwise constraint allows a supervisor to provide the grade of similarity or dissimilarity between the implicit fuzzy vectors of a pair of samples.
Zhen Wang 0002 +4 more
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Discrete Optimization with Fuzzy Constraints [PDF]
Symmetry, 2017 The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In this paper, heuristic fuzzy rules were used with the intention of improving the performance of optimization models, introducing experiential rules acquired from experts and utilizing recommendations.
Primoz Jelusic, Bojan Zlender
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Fuzzy qualitative simulation with multivariate constraints [PDF]
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014 In this research we focus on dealing with fuzzy multivariate relations and how we could perform fuzzy qualitative simulation with models containing such relations. To achieve this, we extended Morven, a fuzzy qualitative reasoning framework, and proposed novel types of constraints for the framework. We first introduced fuzzy multivariate function (FMF)
Wei Pang 0001, George Macleod Coghill
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PARTIAL SPATIAL EQUILIBRIA WITH FUZZY CONSTRAINTS* [PDF]
Journal of Regional Science, 1982 It is implicitly accepted by spatial economic analysis that the economic behaviour of agents located in given spaces (market areas, regions, etc.) is precise, that is to say, their behaviour is such that a possible action (consumption, production) is, or is not, preferable to another. In otherwords, economic agents are assumed to make accurate economic
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Fuzzy constraints in job-shop scheduling
Journal of Intelligent Manufacturing, 1995 This paper proposes an extension of the constraint-based approach to job-shop scheduling, that accounts for the flexibility of temporal constraints and the uncertainty of operation durations. The set of solutions to a problem is viewed as a fuzzy set whose membership function reflects preference.
Didier Dubois +2 more
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Fuzzy goals under fuzzy constraints
Journal of Mathematical Analysis and Applications, 1986 The paper deals with a classical problem of decision making in a fuzzy environment, viz. in situations where a goal G as well as constraints \(C_ 1,C_ 2,...,C_ n\) imposed are viewed as fuzzy sets defined in a certain universe of discourse. Discussed are two forms of aggregation of goals and constraints: (1) intersection of G and the \(C_ i's\).
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PROLogic: A FUZZY TEMPORAL CONSTRAINT PROLOG [PDF]
International Journal of Apllied Mathematics, 2019 In this paper we present PROLogic, a logic programming language based on a formal first-order fuzzy temporal logic: FTCLogic. FTCLogic integrates the advantages of a formal system (a first-order logic based on Possibilistic Logic) and an efficient mechanism with which to reason about time: the Fuzzy Temporal Constraints Networks or FTCN.
Cárdenas Viedma, María Antonia +1 more
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Refinement of temporal constraints in fuzzy associations
International Journal of Approximate Reasoning, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy attribute logic with model constraints
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011 Presented are preliminary results on ordinary-style and graded-style completeness results for fuzzy attribute logic with models constrained by fuzzy closure operators with hedges.
Radim Belohlávek, Vilém Vychodil
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Extending Fuzzy Constraint Satisfaction Problems
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2006 This paper propose a new type of Fuzzy CSP (Constraint Satisfaction Problem) that have a mixture of discrete and continuous domains, and a Spread-Repair algorithm. In traditional CSP and Fuzzy CSP, values for the variables are chosen from the discrete domains. However, this is often inconvenient when one wants to express real world problems.
Yasuhiro Sudo +2 more
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