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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; International Sympos Yongchuan Tang,Van-Nam Huynh,Jonathan Lawry Confere

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Bipolar Semantic Cells: An Interval Model for Linguistic Labelsresulting in a bipolar semantic cell for concept representation. The calculus of lower and upper neighborhood functions of linguistic expressions is developed and investigated. This then provides a framework for modelliong the vague concepts in uncertain reasoning.
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An Over-Relaxed (,,,,,)-Proximal Point Algorithm for System of Nonlinear Fuzzy-Set Valued Operator Elgorithm framework is investigated. Finally, some examples of applying the main result is also given. The results presented in this paper improve and generalize some well known results in recent literatures.
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0302-9743 e a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.978-3-642-24917-4978-3-642-24918-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 2011M 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated
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0302-9743 nal Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provid
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On Distributive Equations of Implications and Contrapositive Symmetry Equations of Implications Baseis a continuous but not Archimedean triangular norm, .. is a continuous and Archimedean triangular norm, . is an unknown function, . is a strong negation. We also underline that our method can apply to the three other functional equations closely related to the above-mentioned functional equations.
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A Novel Cultural Algorithm Based on Differential Evolution for Hybrid Flow Shop Scheduling Problems ial evolution (DE) are introduced into cultural algorithm (CA) to enhance the performance of traditional CA. Experimental results demonstrate that the proposed CADE method is more effective than CA, particle swarm optimization (PSO) and quantum evolution algorithm (QA) when solving FHFSSP.
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