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Granular Computing, 2007. GRC 2007. IEEE International Conference on

Date 2-4 Nov. 2007

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Displaying Results 1 - 25 of 163
  • 2007 IEEE International Conference on Granular Computing - Cover

    Publication Year: 2007, Page(s): c1
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  • 2007 IEEE International Conference on Granular Computing - Front matter

    Publication Year: 2007, Page(s):i - iii
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  • 2007 IEEE International Conference on Granular Computing - Copyright

    Publication Year: 2007, Page(s): iv
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  • 2007 IEEE International Conference on Granular Computing - Table of contents

    Publication Year: 2007, Page(s):v - xiv
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  • Preface

    Publication Year: 2007, Page(s): xv
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  • Conference Organization

    Publication Year: 2007, Page(s): xvi
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  • Program Committee Members

    Publication Year: 2007, Page(s): xvii
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  • On Genetic-Fuzzy Data Mining Techniques

    Publication Year: 2007, Page(s): 3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (145 KB) | HTML iconHTML

    Summary form only given. Data mining is commonly used in attempts to induce association rules from transaction data. Most previous studies focused on mining from binary valued data. Transactions in real-world applications, however, usually consist of quantitative values. Designing a sophisticated data-mining algorithm able to deal with various types of data presents a challenge to workers in this ... View full abstract»

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  • Linguistic Summaries of Static and Dynamic Data: Computing with Words and Granularity

    Publication Year: 2007, Page(s): 4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    Summary form only given. First, we briefly advocate a need of natural language based methods in data mining, notably whew domain experts have a limited knowledge of modern tools of information technology. We present some approaches to linguistic summarization of sets of (numeric and/or textual) data, and show that a fuzzy logic based approach by Yager (1982), notably in its extended and implementa... View full abstract»

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  • Granular Computing and Web Processing: Representing Documents in Polyhedron

    Publication Year: 2007, Page(s): 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (143 KB) | HTML iconHTML

    Summary form only given. Granular computing (GrC) is a pragmatic approach to data and knowledge engineering. Roughly, it is a methodology that involves elements (data) and subsets (knowledge). We will illustrate the idea via a web application. In traditional web processing, we often represent a document by a set of keywords. In GrC, let us call it granular representation, we include the knowledge.... View full abstract»

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  • Towards Mobile Internet: Location Privacy Threats and Granular Computation Challenges

    Publication Year: 2007, Page(s): 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the mobile Internet computing era, where people, devices, and vehicles are connected at all time and the Internet access capability is being embedded in billions of wireless devices such as PDAs, cellular phones, and computers embedded in vehicles (e.g... View full abstract»

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  • Granulation with Indistinguishability, Equivalence, or Similarity

    Publication Year: 2007, Page(s): 11
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (299 KB) | HTML iconHTML

    One of the relations used with granularity is indistinguishability, where distinguishable entities in a finer-grained granule are indistinguishable in a coarser-grained granule. This relation is a subtype of equivalence relation, which is used in the other direction to create finer-grained granules. Together with the notion of similarity, we formally prove some intuitive properties of the indistin... View full abstract»

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  • Some Models of Granular Computing

    Publication Year: 2007, Page(s): 17
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB) | HTML iconHTML

    This paper discusses forms and structures of some important models of granular computing. A class of models is called relation based models, which are induced by equivalence relations, more general, by general binary relations or neighborhood systems. Another class of models of granular computing, called covering based models, are proposed and discussed in detail, which are induced by coverings of... View full abstract»

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  • A Logical Method of Formalization for Granular Computing

    Publication Year: 2007, Page(s): 22
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB) | HTML iconHTML

    One of the important thoughts in mathematical logic is the way of formalization for practical statements. This paper just adopts the method to make formalization for granular computing. Based on this logical method, formulas of a particular kind are constructed on a universal set U. The structure consisting of the universal set, and the all-formula set, is defined as a granular space. Through a fo... View full abstract»

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  • A Scientific Decoding of YinYang1-2-4-8-64 for Equilibrium-Based Granular Computing

    Publication Year: 2007, Page(s): 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    2600 years ago, YinYang was born in the ancient China with the theme "Taiji (one matter) produces YinYang; YinYang produces four forms; the four forms lead to eight diagrams; and the eight diagrams can have 64 direct combinations." This theme can be called YinYang 1-2-4-8-64. An equilibrium-based scientific decoding of YinYangl-2-4-8-64 is presented which states "Equilibrium (the one matter... View full abstract»

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  • Application of Granular Computing in Extension Criminal Reconnaissance System

    Publication Year: 2007, Page(s): 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB) | HTML iconHTML

    The aim of granular computing is to obtain feasible approximate solutions satisfied enough with least complexity. The logic reasoning process using extension method actually implies the ideal of granular computing. This paper uses the relation-element as the measure of granulation and applies granular computing to the reasoning process of the extension criminal reconnaissance system to reduce the ... View full abstract»

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  • Granular Computing in the Information Transformation of Pattern Recognition

    Publication Year: 2007, Page(s): 36
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    In the past decade, many papers about granular computing(GrC) have been published, but the key points about granular computing(GrC) are still unclear. In this paper, we try to find the key points of GrC in the information transformation of the pattern recognition. The information similarity is the main point in the original insight of granular computing (GrC) proposed by Zadeh(1997[1]). Many GrC r... View full abstract»

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  • Multitasking is the Primary Choice for Granular Computing

    Publication Year: 2007, Page(s): 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB) | HTML iconHTML

    The principles of granular computing have been applied in many fields. Current developing in granular computing is more a theoretical perspective than a set of computational methods or processes. This paper attempts to narrow the gap between the theoretical concept and real-world application of granular computing. Multitasking is a method with multiple tasks or processes share with common resource... View full abstract»

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  • The Granulations Based on Meaning of Rough Logical Formulas and its Lock Resolution

    Publication Year: 2007, Page(s): 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB) | HTML iconHTML

    Rough logic is a nonstandard logic defined information systems. In the paper, meaning of the logical formulas is defined as granulation. Operations, related properties of the granulations are discussed further. Lock resolution of the granulations is studied. Studying significance of the granulations will offer an application in inference of expert systems. Which will also offer a new idea for the ... View full abstract»

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  • A Study of Information Granules

    Publication Year: 2007, Page(s): 50
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    Rough set theory is based on information granules. This paper studies information granules based on a decision logic language in information tables. In this paper, the theorems of determining definable granules and definable partitions are given. Furthermore, this paper gives the definitions of the definable upper and lower approximations of indefinable granules, and studies their properties. Thro... View full abstract»

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  • Modeling Dynamic Processes Using Granular Runge-Kutta Methods

    Publication Year: 2007, Page(s): 55
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    By incorporating the Runge-Kutta methods with functions defined within the frameworks of multilayered granular domains, a nonlinear continuous-time dynamic process can be efficiently modeled. The several layers allow for the construction of models spanning different granular size to be used for applications that require different levels of precision and efficiency. In this paper, we discuss a part... View full abstract»

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  • A Granular Space Model for Ontology Learning

    Publication Year: 2007, Page(s): 61
    Cited by:  Papers (2)
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    Ontology learning technology has become a research hotspot in computer science nowadays. The main objective of this paper is to describe domain ontologies at different granularities and hierarchies based on granular computing. A granular space model for ontology learning was explored, and some definitions such as concept granules, granular worlds and the structure of granular space were described ... View full abstract»

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  • Perspectives of Granular Computing in Software Engineering

    Publication Year: 2007, Page(s): 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    Granular computing is not only a computing model for computer-centered problem solving, but also a thinking model for human-centered problem solving. Some authors have presented the structures of such kind models and investigated various perspectives of granular computing from different application points of views. In this paper we discuss the architecture of granular computing models, strategies,... View full abstract»

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  • Structured Writing with Granular Computing Strategies

    Publication Year: 2007, Page(s): 72
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB) | HTML iconHTML

    Granular computing unifies structured thinking, structured problem solving and structured information processing. In order to see the flexibility and universal applicability of this trinity model, we must demonstrate its effectiveness in solving real world problems. In this paper, we apply the basic ideas, principles, and strategies of granular computing to the specific problem solving task known ... View full abstract»

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  • Granular Computing Based Sorting Method in Multi-Objective Optimization

    Publication Year: 2007, Page(s): 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (207 KB) | HTML iconHTML

    This paper put forward dominance granule based multi-objective sorting algorithm (DGSA). The dominance granule can be obtained by the dominance relation in the information system and granular computing. It is the basis of multi-objective sorting and fitness assignment. Therefore, the dominance granule based multi-objective sorting algorithm is designed and reduces the computational complexity high... View full abstract»

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