Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)

25-28 July 2001

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  • Joint 9th IFSA World Congress and 20th NAFIPS International Conference [front matter]

    Publication Year: 2001, Page(s):0_1 - xxii
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  • Index

    Publication Year: 2001, Page(s): I
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  • Creating metabolic and regulatory network models using fuzzy cognitive maps

    Publication Year: 2001, Page(s):2171 - 2176 vol.4
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (384 KB) | HTML iconHTML

    This paper describes a model of metabolic networks that uses fuzzy cognitive maps. Nodes of the map represent specific biochemicals such as proteins, RNA, and small molecules, or stimuli, such as light, heat, or nutrients. Edges of the map capture regulatory and metabolic relationships found in biological systems. These relationships are established by a domain expert, the biological literature, a... View full abstract»

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  • Fuzzy quantifiers for data summarization and their role in granular computing

    Publication Year: 2001, Page(s):2029 - 2034 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (504 KB) | HTML iconHTML

    Data summarization is an enabling technique of granular computing, as it is able to abstract from individual observations and to view a phenomenon as a whole. The linguistic summaries are built around a fuzzy quantifier which functions as the 'summarizer'. Linguistic data summarization therefore presupposes an underlying model of fuzzy quantifiers, which is of crucial importance to the adequacy of... View full abstract»

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  • Fuzzy cognitive maps for decision support in an intelligent intrusion detection system

    Publication Year: 2001, Page(s):2165 - 2170 vol.4
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (384 KB) | HTML iconHTML

    The health of a computer network needs to be assessed and protected in much the same manner as the health of a person. The task of an intrusion detection system is to protect a computer system by detecting and diagnosing attempted breaches of the integrity of the system. A robust intrusion detection system for a computer network will necessarily use multiple sensors, each providing different types... View full abstract»

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  • Application of genetically-generated fuzzy knowledge bases in manufacturing

    Publication Year: 2001, Page(s):2023 - 2028 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (380 KB) | HTML iconHTML

    The need of an expert to build the knowledge base (KB) of fuzzy decision support systems (FDSS) is a strong limitation to the expansion of their use in industry. However, this paper presents a genetic algorithm (GA) capable of automatically building KBs from a set of sampled data. The GA produces a KB allowing an optimal approximation of a set of sampled data from a low amount of input information... View full abstract»

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  • Discovering similar time-series patterns with fuzzy clustering and DTW methods

    Publication Year: 2001, Page(s):2160 - 2164 vol.4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (296 KB) | HTML iconHTML

    Data mining, as an active field, discovers useful knowledge from large data sets. This paper focuses on continuous time series data that have often been encountered in real applications (e.g., sales records, economic data and stock transactions) and discusses how to discover the hidden relationship among time series patterns in terms of their similarities. Fuzzy clustering and dynamic time warping... View full abstract»

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  • Interval and fuzzy methods in remote sensing and satellite image processing

    Publication Year: 2001, Page(s):2019 - 2022 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (316 KB) | HTML iconHTML

    Remote sensing conducted from satellites can be very useful for the purpose of extracting geophysical, environmental, and other earth-related information. A central problem in remote sensing is the enormous amount of data that is typically available for processing. In many cases, traditional data processing methods, that work well for data sets of smaller size, often require too much computational... View full abstract»

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  • Stable control for R/C helicopter

    Publication Year: 2001, Page(s):2056 - 2061 vol.4
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (320 KB) | HTML iconHTML

    This paper presents the stable control for an R/C helicopter whose degree of freedom is reduced by fixing at a (joint) point. The nonlinear model of the R/C helicopter is constructed. After simplifying the nonlinear dynamics, we replace the simplified nonlinear dynamics with a Takagi-Sugeno fuzzy model. The control purpose is to realize good speed of response as well as stabilization with small co... View full abstract»

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  • Fuzzy clustering for categorical multivariate data

    Publication Year: 2001, Page(s):2154 - 2159 vol.4
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (364 KB) | HTML iconHTML

    This paper proposes a new fuzzy clustering algorithm for categorical multivariate data. The conventional fuzzy clustering algorithms form fuzzy clusters so as to minimize the total distance from cluster centers to data points. However, they cannot be applied to the case where only cooccurrence relations among individuals and categories are given and the criterion to obtain clusters is not availabl... View full abstract»

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  • Fuzzy techniques for multiple criteria decision making in GIS

    Publication Year: 2001, Page(s):2376 - 2381 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (660 KB) | HTML iconHTML

    Spatial decision making is a fundamental function of contemporary geographic information systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static maps... View full abstract»

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  • Type-2 fuzzy sets for modelling nursing intuition

    Publication Year: 2001, Page(s):1920 - 1925 vol.4
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (312 KB) | HTML iconHTML

    Expert nurses concurrently assess the patient need for nursing care in several domains of concern to nursing. It is suggested that the process takes into account the overall context of patient need in relation to at least five domains. The degree of need within each domain is prioritised, reflecting the need for nursing intervention. This is an intuitive process in that the expert nurse uses inexa... View full abstract»

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  • A family of similarity and star products: new additions to fuzzy relational products

    Publication Year: 2001, Page(s):2013 - 2018 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (348 KB) | HTML iconHTML

    In this paper, a family of new fuzzy relational products is presented. This new family of products is based on the Similarity product and the Star product previously defined by the author and his colleagues. The products have been developed from practical viewpoints arisen in certain applications for which the semantics of the classical fuzzy relational products has proven somewhat inadequate. The... View full abstract»

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  • Nonlinear rule reduction and robust control

    Publication Year: 2001, Page(s):2050 - 2055 vol.4
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    We propose an approach for modeling and model reduction using a generalized form of Takagi-Sugeno fuzzy systems. First, we define a generalized form of Takagi-Sugeno fuzzy systems. The structure of these fuzzy systems has some advantages: they accord with dynamics of the original model and they are suitable for reducing the number of rules. Thus, these fuzzy systems are constructed by many if-then... View full abstract»

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  • Musical symbol recognition using SOM-based fuzzy systems

    Publication Year: 2001, Page(s):2150 - 2153 vol.4
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (260 KB) | HTML iconHTML

    A large number of research activities have been undertaken to investigate optical music recognition (OMR). OMR involves identifying musical symbols on a scanned sheet of music and transforming them into a computer readable format. We propose an efficient method based on SOM-based fuzzy systems to recognize musical symbols. A database consisting of 9 kinds of musical symbols were used to test the p... View full abstract»

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  • Genetic programming for life-time learning of a mobile robot

    Publication Year: 2001, Page(s):2422 - 2427 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (396 KB) | HTML iconHTML

    The paper deals with a mobile robot with structured intelligence. The robot interacts with a dynamic environment. The evaluation criteria or functions are the strategy for the behavior acquisition. Generally, it is difficult for human operators to describe the internal models of the robot because the organization of the robot is quite different from that of a human. In the optimization, the evalua... View full abstract»

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  • On the solutions of lattice-valued matrix game with fuzziness

    Publication Year: 2001, Page(s):2301 - 2304 vol.4
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    Game theory is a very important branch of applied mathematics. There have been a lot of excellent results within eighty years of its history. Many research areas have been developed, but most of them are limited to the real domain. A great amount of non-real practical game problems, especially the lattice-valued game, remains unexplored. The paper focuses on the lattice-valued matrix game. Firstly... View full abstract»

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  • Unification as negotiation: a context-based approach

    Publication Year: 2001, Page(s):1881 - 1885 vol.4
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    We start from a notion of similarity-based unification, as defined by the Arcelli et al. (1998), and we introduce a more structured process that can be seen more adequately as a form of unification as negotiation between agents, each of them equipped with the own notion of context. We start by modeling a context through a particular t-norm, i.e. a way of interpreting the conjunction according to c... View full abstract»

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  • Investigating the role of fuzzy sets in a spatial modeling framework

    Publication Year: 2001, Page(s):2370 - 2375 vol.4
    Cited by:  Papers (2)  |  Patents (34)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (352 KB) | HTML iconHTML

    This paper outlines a method of constructing a spatial data collection agent that is capable of adopting a spatial sampling strategy along a transect network in real-time, based on minimal prior knowledge of the measured surface and a concept of spatial heterogeneity. The agent uses fuzzy reasoning to decide upon the appropriate distance to travel along the current transect before making a new mea... View full abstract»

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  • Type 2 uncertainty in knowledge representation and reasoning

    Publication Year: 2001, Page(s):1914 - 1919 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (396 KB) | HTML iconHTML

    Type 2 fuzziness exists both in knowledge representation and approximate reasoning. First, it has been shown that acquisition of membership functions, whether (1) they are obtained by subjective measurement experiments, such as direct or reverse rating procedures or else (2) they are obtained with the application of fuzzy clustering methods, we can capture Type 2 membership functions. Type 2 fuzzi... View full abstract»

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  • Construction of dynamic fuzzy if-then rules through genetic reinforcement learning for temporal problems solving

    Publication Year: 2001, Page(s):2341 - 2346 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (444 KB) | HTML iconHTML

    In this paper, a genetic algorithm (GA) based dynamic fuzzy network design approach is proposed. First, a dynamic fuzzy network (DyFN) constituted from a series of dynamic fuzzy if-then rules is introduced. One characteristic of DyFN is its ability to deal with temporal problems. Then, GA is adopted into the design process as a means of allowing the application of DyFN in situations where gradient... View full abstract»

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  • Assessing the predictive accuracy of complex simulation models

    Publication Year: 2001, Page(s):2008 - 2012 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (336 KB) | HTML iconHTML

    Predictive accuracy is the sum of two kinds of uncertainty-natural variability and modeling uncertainty. This paper addresses the quantification of predictive accuracy of complex simulation models from two perspectives. First, it recognizes that there is a difference between variability and modeling uncertainty; the former can not be reduced with more test information, while the latter can. We sug... View full abstract»

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  • Fuzzy sets and decision making system for thyroid hormone profile

    Publication Year: 2001, Page(s):2046 - 2049 vol.4
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    Automation of the analytical specimen processing tasks in clinical laboratories is provided by the laboratory information and automation systems. Integration of these systems increase throughput, lower the cost, improve and ensure quality standards, and store and keep data for knowledge maintenance and mining. Among several important tasks, the key one concerns with data acquisition from analyzers... View full abstract»

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  • Controlled clustering, uni-norm operators and OWA operators

    Publication Year: 2001, Page(s):1935 - 1939 vol.4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (292 KB) | HTML iconHTML

    Clustering processes now have widespread applications. Their purpose is to separate data into groups of similar characteristics. Usually these processes are data driven, and, thus, we don't have effective mechanism to control them. The standard procedure is to set the number of clusters (in supervised clustering we can also set centers of clusters). But as soon as we fix the number of clusters we ... View full abstract»

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  • On the combination of fuzzy logic and Kohonen nets

    Publication Year: 2001, Page(s):2144 - 2149 vol.4
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    Several ways of combining concepts of fuzzy set theory with connectionist methods are known. We focus on the use of fuzzy numbers in neural networks. Our goal is to create a fully fuzzified self-organizing-map, which receives fuzzy numbers as inputs and computes its output employing fuzzy weights. We want to extend results about goodness prediction, that exist for fuzzified multilayer perceptrons ... View full abstract»

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