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Showing 81-100 of 10,000 results
  1. Personalized Multi-Stage Decision Support in Reverse Logistics Management

    Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
    Jie Lu, Guangquan Zhang in Intelligent Data Mining
    Chapter
  2. Advanced Simulator Data Mining for Operators’ Performance Assessment

    This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
    Anthony Spurgin, Gueorgui Petkov in Intelligent Data Mining
    Chapter
  3. Data Mining for Maximal Frequent Patterns in Sequence Groups

    In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
    J.W. Guan, D.A. Bell, D.Y. Liu in Intelligent Data Mining
    Chapter
  4. 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
  5. 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
  6. 5. Impulsive Synchronization of Chaotic Systems

    In this chapter, less conservative conditions on the stability of impulsive systems are first derived. These results are then used to study the...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  7. 8. Relative Differentiated Quality of Service of the Internet

    In this chapter, the feedback cyclic control policy is first extended to the case that the arrival rates are not known in advance. The policy is then...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  8. 7. Scheduling of Switched Server Systems

    In this chapter, we shall present an interesting and practical application of the stability results obtained in Chapter 2. Specifically, the...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  9. A The Kalman Filter

    The Kalman Filter developed in the early sixties by R.E. Kalman [57, 58] is a recursive state estimator for partially observed non-stationary...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter
  10. Sensory Quality Management and Assessment: from Manufacturers to Consumers

    This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
    Ludovic Koehl, **anyi Zeng, ... Yongsheng Ding in Intelligent Data Mining
    Chapter
  11. Prioritized Fuzzy Information Fusion for Handling Multi-Criteria Fuzzy Decision-Making Problems

    The prioritized operator is very useful in dealing with multi–criteria fuzzy decision-making problems, and it can be seen as an additional selector...
    Chapter
  12. Simultaneous Localization and Map Building

    Perception happens locally, in the egocentric frame of reference of the robot. In order to ensure correspondence between the local representation of...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter
  13. Suboptimal Filter Stability

    When a stochastic system is partially controllable, such as in the case of SLAM, the Gaussian noise sources v k do not...
    Juan Andrade-Cetto, Alberto Sanfeliu in Environment Learning for Indoor Mobile Robots
    Chapter
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
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