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Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American

Date 19-22 May 2008

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Displaying Results 1 - 25 of 164
  • General Chairs' greeting for NAFIPS 2008

    Publication Year: 2008, Page(s): 1
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  • Message from Program Co-Chairs

    Publication Year: 2008, Page(s): 1
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  • Conference committee

    Publication Year: 2008, Page(s):1 - 2
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  • Program Committee

    Publication Year: 2008, Page(s):1 - 2
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  • Regular papers [list of papers]

    Publication Year: 2008
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  • Special sessions

    Publication Year: 2008, Page(s):1 - 9
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  • Plenary talks

    Publication Year: 2008
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  • Performance enhancement in solving Traveling Salesman Problem using hybrid genetic algorithm

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (591 KB) | HTML iconHTML

    In this paper, a novel hybrid genetic algorithm for solving Traveling Salesman Problem (TSP) is presented based on the Nearest Neighbor heuristics and pure Genetic Algorithm (GA). The hybrid genetic algorithm exponentially derives higher quality solutions in relatively shorter time for hard combinatorial real world optimization problems such as Traveling Salesman Problem (TSP) than the pure GA. Th... View full abstract»

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  • Identification of Takagi-Sugeno (TS) fuzzy model with Evolutionary Parallel Gradient Search

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    In this paper the modeling of nonlinear system with TS fuzzy model is discussed. The identification of TS fuzzy model is first posed as an optimization problem and a new hybrid optimization algorithm- referred to as evolutionary parallel gradient search (EPGS) is applied to find the optimal values of the parameters in the fuzzy model. The main feature of EPGS is its ability to deal with the local ... View full abstract»

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  • Deriving analytical structure of a type-2 fuzzy PD/PI controller

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    In the past several years, research results on type- 2 fuzzy control have started to emerge in the literature. None of them, however, are concerned with mathematical input-output relationship of a type-2 fuzzy controller. Establishing such relationship is important as it will deepen our understanding of type- 2 fuzzy controller structures, how they function, and their advantages and drawbacks as c... View full abstract»

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  • Joint friction identification for robots using TSK fuzzy system based on subtractive clustering

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB) | HTML iconHTML

    In this paper, the joint friction of a robotic manipulatoris identified by using subtractive clustering based Takagi-Sugeno-Kang (TSK) fuzzy logic system (FLS). The proposed approach can provide accurate prediction of the joint friction despite the nonlinearity of the friction and measurement uncertainty. Simulation results show the effectiveness and convenience of the method. View full abstract»

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  • Imprecise causality in large data sets

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (187 KB) | HTML iconHTML

    Computationally recognizing causal relationships in data is fundamentally important to good decision making. There are vast amounts of computer stored, multi-faceted data. Understanding how stored data items affect each other is crucial in making good decisions. The most important decisional information is an understanding of causal relationships. An abundance of digital data riches promise a prof... View full abstract»

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  • Exceptions and resemblance: Two keys for tolerant division operators

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (250 KB) | HTML iconHTML

    The idea of extending usual Boolean queries with preferences has become a hot topic in the recent years. One of the advantages of this approach is to deliver discriminated answers instead of flat sets of elements. In this paper, preferences are conveyed thanks to fuzzy predicates whose truth values are a matter of degree. The focus is put on queries involving a division, operator which plays a cen... View full abstract»

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  • Improve neuro-fuzzy learning by attribute reduction

    Publication Year: 2008, Page(s):1 - 5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (223 KB) | HTML iconHTML

    Neuro-fuzzy learning is a combination of neural networks and fuzzy systems to learn fuzzy rules from examples. One of the popular tools for neuro-fuzzy learning is the adaptive network based fuzzy inference systems (ANFIS) introduced by Jang. It is observed from our past experiments that data sets with more than six attributes (features) may present a challenge to ANFIS learning. Rough set theory ... View full abstract»

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  • T-norm and uninorm-based combination of belief functions

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (261 KB) | HTML iconHTML

    The distinctness assumption is a limitation to the use of the unnormalized Dempster's rule. Denoeux recently proposed an alternative rule, called the cautious rule, which does not rely on this assumption. He further showed that the cautious rule and the unnormalized Dempster's rule belong to two families of combination rules having different algebraic properties. This paper revisits this latter po... View full abstract»

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  • Biomedical data analysis using dispersion-adjusted fuzzy quantile encoding

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (274 KB) | HTML iconHTML

    A fuzzy set theoretic classification preprocessing method is described that may be used in the analysis and interpretation of biomedical data. This method, dispersion- adjusted fuzzy quantile encoding, determines the respective degrees to which a feature (attribute) belongs to a collection of fuzzy sets that overlap at the respective quantile boundaries of the feature. The fuzzy sets are adjusted ... View full abstract»

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  • Optimized neuro-fuzzy multivariable PID controller based on IMC using genetic algorithm

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (287 KB) | HTML iconHTML

    In this paper a new method for PID controller parameters tuning, in multivariable systems, using neuro-fuzzy system is proposed. PID tuning is based on using internal model control (IMC) technique and intelligent algorithm. IMC technique reduces number of parameters that must be tuned and then proposed algorithm uses neuro-fuzzy for determination of IMC variables. Parameters of neuro-fuzzy system,... View full abstract»

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  • Using fuzzy logic based evidence for Bulgarian winery market competitiveness

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB) | HTML iconHTML

    A fuzzy set based evidence set methodology is developed in this paper to address a wine management decision about whether or not to undertake a product introduction, and if so, in what cost range. The basis for this decision is competitiveness of the marketplace and cost based on the perception of related selling price and profitability. The paper presents an application utilizing simulated result... View full abstract»

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  • Models for consensus in multiperson decision making

    Publication Year: 2008, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB) | HTML iconHTML

    Reaching consensus is a crucial objective in multicriteria and multiagent decision making. To this aim some perspectives are here studied, such as a geometric representation and a game theoretical modelling. This is a start point for a definition of a consensus activating procedure. View full abstract»

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  • An ultra-fuzzy model of aggregate growth in catastrophic risk potentials

    Publication Year: 2008, Page(s):1 - 3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    Catastrophic loss potentials are characterized by very low probabilities of devastating (irreversible) damages. As a result of the complexities inherent in such exposures, and the limited availability of data, considerable uncertainties enter into their estimation and treatment. The difficulties increase when we consider the aggregation of such loss potentials. We suggest here that the growth of c... View full abstract»

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  • High order type-2 TSK fuzzy logic system

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    This paper presents the generalized type-2 Takagi- Sugeno-Kang (TSK) fuzzy logic system (FLS) in which the antecedent or consequent membership functions are type-2 fuzzy sets and the consequent part a first or higher order polynomial function. The architecture of the generalized type-2 TSK FLS and its inference engine are based on the Mendel's first order type-2 TSK FLS. The design method of high ... View full abstract»

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  • A new approach to measuring group consensus in MADM with preference information on alternatives

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (239 KB) | HTML iconHTML

    A new approach is proposed for measuring the group consensus in the multiple attribute decision making (MADM) problems with preference information on alternatives. In the approach, multiple decision makers give their preference information on alternatives in different formats. The uniformity and aggregation processes with fuzzy majority method are employed to obtain the social fuzzy preference rel... View full abstract»

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  • Graphical estimation of permeability using RST&NFIS

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB) | HTML iconHTML

    This paper pursues some applications of rough set theory (RST) and neural-fuzzy model to analysis of "lugeon data". In the manner, using Self Organizing Map (SOM) as a pre-processing the data are scaled and then the dominant rules by RST, are elicited. Based on these rules variations of permeability in the different levels of Shivashan dam, Iran has been highlighted. Then, via using a combining of... View full abstract»

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  • Discovering structure in labeled data

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    A novel approach based on supervised hierarchical clustering is developed with the purpose of discovering structure in data where labels are provided. Labels can come in the form of discrete-valued class labels or continuous-valued output variables to aid hierarchical clustering in discovering the structure and the number of clusters, in particular. In the proposed method, Clusters are linked toge... View full abstract»

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  • Immune-inspired algorithm to find the set of κ-spanning trees with lowest costs in graphs with fuzzy parameters

    Publication Year: 2008, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (214 KB) | HTML iconHTML

    In this work, we present an immune-inspired algorithm based on evolutionary computation to find the set of k-spanning trees with lowest costs in graphs with uncertainties in their parameters. In order to avoid the high complexity of the traditional approaches, we present an artificial immune system for exploring the search space looking for satisfactory results, without the necessity of comparing ... View full abstract»

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