Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,

18-21 Dec. 1994

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Displaying Results 1 - 25 of 104
  • NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic

    Publication Year: 1994
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    Freely Available from IEEE
  • A smart instrument to evaluate roofing system performance in hurricanes

    Publication Year: 1994, Page(s):275 - 278
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (292 KB)

    A recently developed decision support system to aid nonengineering professionals in evaluating the quality of roofing systems for commercial and residential buildings is described. A description of the requirements, theoretical background, and architecture of the system is provided. The accompanying computer program is also described. Finally, the predicted quality levels of thirteen roofing syste... View full abstract»

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  • Fuzzy logic for bridge rating using an eigenvector of priority settings

    Publication Year: 1994, Page(s):279 - 286
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (512 KB)

    To avoid possible inconsistencies in the inspection and rating of highway bridges, a fuzzy inference model based on a priority setting obtained through the solution of an eigenvector problem invoking a pairwise comparison matrix of importance is presented. This method and the associated solution technique, originally developed for general use in multi-attribute decision making, are used to impleme... View full abstract»

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  • An index based on superimposed coding for a fuzzy object oriented database system

    Publication Year: 1994, Page(s):289 - 290
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (180 KB)

    Next generation database applications-for example, design; environmental and scientific applications-have to cope with incomplete and uncertain data and queries. Many of the approaches to modeling uncertainty in databases are based on fuzzy set theory. However, for fuzzy data access and vague query evaluation the usual access methods are no longer usable. Thus, the need arises for efficient index ... View full abstract»

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  • Specifying vague requirements with a fuzzy logic based modeling framework

    Publication Year: 1994, Page(s):291 - 295
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (380 KB)

    Proposes a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on the canonical form in test-score semantics and an extension of the notion of soft conditions. The trade-offs analysis of conflicting soft requirements is conducted using fuzzy multi-criteria optimization techniques. The proposed approach provide a fram... View full abstract»

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  • Rule selection, fuzzy logic and time series

    Publication Year: 1994, Page(s):189 - 193
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (364 KB)

    It is difficult to extract trading rules for financial trading systems. One reason is that the data often leads to conflicting rules, i.e., rules that have the same left-hand side but different right hand side. In this paper, we explore ways to deal with the problem of inconsistent rules using US ten-years bond time series data. We explore Wang's method, and identify a particular shortcoming. In a... View full abstract»

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  • Fuzzy logic finite state machine models for real time systems

    Publication Year: 1994, Page(s):296 - 300
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (268 KB)

    Dynamic linguistic models can be implemented by fuzzy automata. In this paper the model of the fuzzy-state-fuzzy-output finite state machine (FSFO FSM) is discussed. The FSFO FSM is realized using the concepts of crisp-state-fuzzy-output FSM (CSFO FSM) and state membership functions (SMF). A systematic method is suggested to design the state transients of the FSFO FSM by means of a specified seque... View full abstract»

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  • An adaptive fuzzy modeling framework for characterization of subsurface contamination

    Publication Year: 1994, Page(s):194 - 195
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (156 KB)

    The objectives of characterization of subsurface contamination are to provide information for the evaluation of: (1) the environmental effects of these contaminants; and (2) alternate remediation measures. However, the procedure is very complex. Complete characterization is very time consuming and costly if not impossible. In this paper, we propose an adaptive fuzzy modeling framework for the char... View full abstract»

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  • Fuzzy logic in case-based reasoning

    Publication Year: 1994, Page(s):301 - 302
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (172 KB)

    This paper presents a fuzzy logic approach to address the indexing problems in case-based reasoning paradigm. The relevance of representing case indices using fuzzy sets and a scheme for rating and ranking of candidate cases using fuzzy aggregation operators are discussed. The authors also suggest employing case-based reasoning for learning in fuzzy systems. The proposed schemes are exemplified in... View full abstract»

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  • FLIC: fuzzy linear invariant clustering for applications in fuzzy control

    Publication Year: 1994, Page(s):196 - 200
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (388 KB)

    We present a new method for fuzzy clustering which is useful for deriving Takagi-Sugeno type rules ”if x is Ak, then y=g k(x)“. Unlike the previous works, where the c-means algorithm is used first to form clusters with a single point center and then gk(x)'s are formed separately for each cluster, we form the clusters and their more general representativ... View full abstract»

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  • Bag language speeds up fuzzy interval computations

    Publication Year: 1994, Page(s):398 - 399
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (160 KB)

    As applications of fuzzy computations in the real world become more common, it will be desirable that new software performs as quickly and efficiently as possible. We will use related findings to show how such speed and efficiency can be achieved in bag languages View full abstract»

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  • Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and multiagent decision analysis

    Publication Year: 1994, Page(s):305 - 309
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (444 KB)

    A bipolar fuzzy set theory is presented for cognitive modeling and multiagent decision analysis. Firstly, notions of bipolar fuzziness are introduced. Secondly an interval-based bipolar fuzzy logic is defined which generalizes a real-valued bipolar fuzzy logic by allowing interval-based linguistic variables x and y to be substituted into (S, =, V, ⊗) or (S, =, ∪, ⊙) where S={&foral... View full abstract»

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  • Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques

    Publication Year: 1994, Page(s):201 - 206
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (392 KB)

    This paper develops a new approach to building Sugeno-type models. The essential idea is to separate premise identification from consequence identification, while these are mutually related in the previous methods. A fuzzy discretization technique is suggested to determine the premise of the model, and an orthogonal estimator is provided to identify the consequence of the model. The orthogonal est... View full abstract»

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  • Genetic fuzzy clustering

    Publication Year: 1994, Page(s):411 - 415
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB)

    This paper describes a genetic guided fuzzy clustering algorithm. The fuzzy-c-means functional Jm is used as the fitness function. In two domains the approach is shown to avoid some higher values of Jm to which the fuzzy-c-means algorithm will converge under some initializations. Hence, the genetic guided approach shows promise as a clustering tool View full abstract»

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  • Stable adaptive fuzzy control of a DC motor

    Publication Year: 1994, Page(s):145 - 149
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (220 KB)

    A stable adaptive fuzzy control is applied to a DC motor for controlling its speed. The DC motor was modeled as a nonlinear third order system. An extension to the type of systems which the control can be applied has been developed. This extension was applied to control the speed of the DC motor. Simulation studies were performed for confirming the effectiveness of the control in this application.... View full abstract»

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  • Cognitive categorization revisited: extending interval valued fuzzy sets as simulation tools for concept combination

    Publication Year: 1994, Page(s):400 - 404
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (432 KB)

    In this paper a structure called evidence set is proposed. It is based on the extension of interval valued fuzzy sets by utilizing the theory of fuzzy measures, in particular, the Dempster-Shafer theory of evidence. These new structures allow us to build better simulations of human cognitive categorization and concept combination processes, since not only is the spectrum of uncertainty forms bette... View full abstract»

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  • A connection between fuzzy quantifiers and the classical modalities

    Publication Year: 1994, Page(s):310 - 314
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB)

    The classical modalities, “necessity” and “possibility,” are intuitively connected to probability theory by: proposition P is necessarily true if the probability of P's being true is I, and P possibly true if the probability of P's being true is greater than O. A prior work by the author introduced the logic QUAL, for reasoning symbolically with terms expressing fuzzy quant... View full abstract»

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  • Commercial systems for fuzzy reasoning: a survey

    Publication Year: 1994, Page(s):121 - 126
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (468 KB)

    We compare the fields of fuzzy process control and fuzzy reasoning, and conclude that software very suitable for process control may be at best marginally suitable for fuzzy reasoning. We discuss questions of system power and ease of use, and survey several commercial system in that light View full abstract»

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  • The effect of fuzzy logic theory on a fuzzy sliding mode controller's performance

    Publication Year: 1994, Page(s):139 - 140
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (140 KB)

    The impact of fuzzy number's characteristics over fuzzy logic controllers' (FLC's) performance is analyzed through different control scenarios of a fuzzy sliding mode controller applied to a benchmark control problem View full abstract»

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  • Fuzzy control for behavior-based mobile robots

    Publication Year: 1994, Page(s):209 - 213
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (384 KB)

    This paper presents an implemented control architecture for behavior-based mobile robots in partially known environments. In addition to coordinating primitive behaviors, the fuzzy controller is able to integrate reactive behaviors with goal-directed planning capabilities so that the robot can reach its goals more efficiently. The fuzzy controller was tested on a mobile robot equipped with sonars ... View full abstract»

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  • An ART-based fuzzy adaptive learning control network

    Publication Year: 1994, Page(s):357 - 362
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (460 KB)

    This paper addresses the structure and associated on-line learning algorithms of a feedforward multilayered connectionist network for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed Fuzzy Adaptive Learning COntrol Network (FALCON) can be contrasted with the traditional fuzzy logic control systems in their network structure and learning ability. An o... View full abstract»

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  • Multi-stage genetic algorithm learning in game playing

    Publication Year: 1994, Page(s):223 - 227
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (388 KB)

    We explore the concept of genetic structural expansion by employing a multi-stage chromosome coding scheme in a genetic algorithm (GA) based game-playing environment. Although structural expansion has been considered as a means of increasing diversity so as to benefit the GA optimization process in a changing world, it was seldom studied in the context of a multi-stage reinforced environment. This... View full abstract»

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  • Automatic design and tuning of a fuzzy system for controlling the Acrobot using genetic algorithms, DSFS, and meta-rule techniques

    Publication Year: 1994, Page(s):416 - 420
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (344 KB)

    In this paper, we present practical methods for automatic design and tuning of fuzzy systems and apply them to a complex control problem: swing-up control of a two-link robot called the Acrobot. We use genetic algorithms, dynamic switching fuzzy systems (DSFS), and meta-rule techniques to obtain a high performance meta-rule enhanced TSK controller for the Acrobot. Our paper demonstrates how we int... View full abstract»

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  • DC motor control using fuzzy proportional-derivative technique

    Publication Year: 1994, Page(s):373 - 374
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (112 KB)

    A fuzzy proportional-derivative (PD) controller is used to control the speed of a permanent magnet DC motor with a load. The fuzzy PD controller has the same linear structure as a conventional digital PD controller yet improves its self-tuning control capability. The performance of the fuzzy PD controller is tested with an experimental setup of a motor-generator with a load and is then compared to... View full abstract»

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  • Embedded fuzzy logic-based wall-following behavior for mobile robot navigation

    Publication Year: 1994, Page(s):329 - 330
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (192 KB)

    The synthesis of a fuzzy logic controller that provides a small mobile robot with the capability to exhibit a wall-following behavior is described. A general account of the procedure is given with emphasis placed on the embedded realization of the fuzzy controller and its feasibility using commercially available tools View full abstract»

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