We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.

Search Results

Showing 41-60 of 10,000 results
  1. Efficient ReasoningWith FuzzyWords

    Dealing with coarse granular information is very attractive for several reasons: 1. The number of details in an application might be so large that...
    Chapter
  2. Soft Computing Models for Network Intrusion Detection Systems

    Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the...
    Chapter
  3. Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map

    While tools exist that allow us to search through vast amounts of text within seconds, most systems fail to assist the user in getting an overview of...
    Michael Dittenbach, Dieter Merkl, Andreas Rauber in Classification and Clustering for Knowledge Discovery
    Chapter
  4. Identifying Interesting Patterns in Multidatabases

    In this chapter we develop a new technique for mining multidatabases. The new mining algorithm, by comparing to traditional multidatabase mining...
    Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang in Classification and Clustering for Knowledge Discovery
    Chapter
  5. Audio Fingerprinting: Concepts And Applications

    An audio fingerprint is a unique and compact digest derived from perceptually relevant aspects of a recording. Fingerprinting technologies allow the...
    Pedro Cano, Eloi Batlle, ... Madeleine Bonnet in Computational Intelligence for Modelling and Prediction
    Chapter
  6. An Efficient Information Retrieval Method for Brownfield Assessment with Sparse Data*

    Environmental site investigations are carried out prior to the reclamation of industrially contaminated sites. In this study, an information...
    Linet Özdamar, Melek Basak Demirhan in Computational Intelligence for Modelling and Prediction
    Chapter
  7. An Integrity Estimation Using Fuzzy Logic

    The authors have been involved in develo** an automated inspection system, based on machine vision, to assess the seaming quality in metal...
    P. Mariño, C. A. Sigüenza, ... F. Machado in Computational Intelligence for Modelling and Prediction
    Chapter
  8. A New Approach to Building Fuzzy Classifications in Sociological Research with Survey Data

    This paper offers a new approach to building classifications in sociological and marketing research. This approach is based on survey data and expert...
    Yu. N. Blagoveschensky, G.A. Satarov in Classification and Clustering for Knowledge Discovery
    Chapter
  9. Symmetrization Of Fuzzy Operators: Notes On Data Aggregation

    Fundamental operators of set theory, fuzzy sets and uncertain information processing explore a unipolar scale of the unit interval [0,1]. However, it...
    Wladyslaw Homenda, Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter
  10. Intuitionistic Fuzzy Relational Images

    By tracing intuitionistic fuzzy sets back to the underlying algebraic structure that they are defined on (a complete lattice), they can be embedded...
    Martine De Cock, Chris Cornelis, Etienne E. Kerre in Computational Intelligence for Modelling and Prediction
    Chapter
  11. A Practical Approach to the Chord Analysis in the Acoustical Recognition Process

    The identification of simultaneously sounding notes is one of the key problems for music recognition. In this paper we outline the localization of...
    Marcin Szlenk, Wladyslaw Homenda in Computational Intelligence for Modelling and Prediction
    Chapter
  12. Long-Range Prediction of Population by Sex, Age and District Based on Fuzzy Theories

    A method to predict population by sex, age and district over a long-range period is proposed based on fuzzy theories. First, a fuzzy model is...
    Chapter
  13. FUZZY LINEAR PROGRAMMING: A MODERN TOOL FOR DECISION MAKING

    In this paper, the S-curve membership function methodology is used in a real life industrial problem of mix product selection. This problem occurs in...
    PANDIAN VASANT, R. NAGARAJAN, SAZALI YAACOB in Computational Intelligence for Modelling and Prediction
    Chapter
  14. P-Expert: Implementation and Deployment of Large Scale Fuzzy Expert Advisory System

    This paper discusses the problem of parthenium weed infestation in Queensland and describes P-Expert, an expert advisory system designed to provide...
    Chapter
  15. An Algorithm for Determining the Controllers of Supervised Entities: A Case Study with the Brazilian Central Bank

    An algorithm was developed and implemented to find controllers of the stock shares for some financial institutions for the Brazilian Central Bank...
    Vinícius Guilherme Fracari Branco, Li Weigang, Maria Pilar Estrela Abad in Computational Intelligence for Modelling and Prediction
    Chapter
  16. Semantic Indexing and Fuzzy Relevance Model in Information Retrieval

    Let us suppose that an information retrieval system comprehends the semantic content of documents and reflects the preferences of users. Then the...
    Bo-Yeong Kang, Dae-Won Kim, Sang-Jo Lee in Computational Intelligence for Modelling and Prediction
    Chapter
  17. Backward Reasoning on Rule-Based Systems Modeled by Fuzzy Petri Nets Through Backward Tree

    The crux in rule-based systems modeled by Fuzzy Petri Nets (FPN) is to decide the sequence of transitions firing. In this problem, backward reasoning...
    Rong Yang, Pheng-Ann Heng, Kwong-Sak Leung in Computational Intelligence for Modelling and Prediction
    Chapter
  18. A new approach for the fuzzy shortest path problem

    Many researchers have paid much attention to the fuzzy shortest path problem since it is central to many applications. In this problem, the fuzzy...
    Tzung-Nan Chuang, Jung-Yuan Kung in Computational Intelligence for Modelling and Prediction
    Chapter
  19. Centralised Strategies for Cluster Formation in Sensor Networks

    Cluster based communication protocols for sensor networks are useful if the cluster formation is energy efficient. Centralised cluster formation can...
    Malka N. Halgamuge, Siddeswara M. Guru, Andrew Jennings in Classification and Clustering for Knowledge Discovery
    Chapter
  20. Monitoring Shift and Movement in Data using Dynamic Feature Maps

    Identifying change or movement in data can be highly useful to many organisations. Such movement identification will enable an organisation to react...
    Chapter
Did you find what you were looking for? Share feedback.