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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... -
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... -
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.... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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...