11 Result(s)
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Article
On Optimal Forecasting with Soft Computation for Nonlinear Time Series
In this paper we present a new approach on optimal forecasting by using the fuzzy set theory and soft computing methods for the dynamic data analysis. This research is based on the concepts of fuzzy membership...
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Chapter and Conference Paper
Normal MP-Filters of R 0-Algebras
The aim of this paper is to introduce the notion of normal MP-filters and investigate the structure of R 0-algebras. The relations between normal MP-filters and MP-filters, and between normal MP-f...
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Chapter and Conference Paper
The Comparison about the Clustering Analysis Based on the Fuzzy Relation
Fuzzy approaches are playing an important role in data mining. This paper in details analyses and compares the fuzzy clustering approaches based on the fuzzy equivalence relationthe fuzzy similarity relationth...
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Article
An ant colony optimization approach for the multidimensional knapsack problem
Ant colony optimization is a metaheuristic that has been applied to a variety of combinatorial optimization problems. In this paper, an ant colony optimization approach is proposed to deal with the multidimens...
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Chapter and Conference Paper
Automated Model Selection and Parameter Estimation of Log-Normal Mixtures via BYY Harmony Learning
Bayesian Ying-Yang (BYY) harmony learning system is a newly developed framework for statistical learning. Via the BYY harmony leaning on finite mixtures, model selection can be made automatically during parame...
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Chapter and Conference Paper
Manifold Learner Ensemble
Manifold learning is proved to be an efficient tool for nonlinear dimensionality reduction. Various local and global learners have been proposed to successfully extract intrinsic geometry underlying high-dimen...
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Article
Boosting local search with Lagrangian relaxation
Local search algorithms play an essential role in solving large-scale combinatorial optimization problems. Traditionally, the local search procedure is guided mainly by the objective function of the problem. H...
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Chapter and Conference Paper
Ellipse Fitting Based on a Hybrid l1l2-Norm Algorithm
This paper proposes a new efficient direct method noted the Hybrid l1l2-Norm Model for fitting ellipse to resist the Gaussian and Laplacian disturb simultaneously which will be solved by split Bregman iteration a...
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Chapter and Conference Paper
Fast Heuristic Algorithms for the Multiple Strip Packing Problem
In this paper we address the so-called two-dimensional Multiple Strip Packing Problem (MSPP). There is a set of rectangles and a set of strips, where each strip has a pre-defined width. The problem is to find ...
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Chapter and Conference Paper
Multiple Project Scheduling for a Network Roll-Out Problem: MIP Formulation and Heuristic
The paper addresses the Network Roll-Out (NRO) problem aimed at scheduling the construction of mobile stations. In this case, NRO problem can be considered as a generalization of Resource-Constrained Project S...
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Article
Type-2 fuzzy numbers made simple in decision making
For the decision-making problems based on decision makers’ judgments in terms of linguistic terms, we propose type-2 fuzzy numbers (T2FNs) that allow decision makers better formalize their judgments. A T2FN ha...
