Structural pattern recognition techniques are an efficient way to apply a pattern oriented data retrieval paradigm. Some techniques have already been implemented in the JET Analysis Cluster (JAC) by means of a general...
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ISBN:
(纸本)9789812799463
Structural pattern recognition techniques are an efficient way to apply a pattern oriented data retrieval paradigm. Some techniques have already been implemented in the JET Analysis Cluster (JAC) by means of a general purpose tool (software application) to allow the identification of similar patterns (structural shapes) inside temporal evolution signals. Data retrieval methods are based on three essential aspects: feature extraction (to reduce signal dimensionality), the classification system (to index objects according to some criteria) and similarity measure (to compare how similar two objects are), but there is not a single solution or unique criterion to handle these key elements. This paper provides a new solution to the localization and extraction of similar patterns in timeseries data. Alternative searches are proposed to objectively increase the recognition of similar patterns so as to achieve better results on the data retrieval. In the proposed approach, patterns are represented by string of characters. Looking for patterns means looking for characters. The recognition problem is translated into a character-matching problem. Thinner search strategies have been studied with excellent results in the detection of long subpatterns. Long subpattems are not so easy to identify since even a single mismatch in one character can compromise similarity between two patterns. Identifying long patterns in a fast, fault tolerant and intelligent way is the aim of the analyzed strategies, formally based on statistical criteria and some aspects of probability theory.
In this paper we analyze the structural properties of the inconsistencies detected by the crude algorithm for segmentation of digital images introduced by some of the authors in a previous work. Such analysis will sug...
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ISBN:
(纸本)9789812799463
In this paper we analyze the structural properties of the inconsistencies detected by the crude algorithm for segmentation of digital images introduced by some of the authors in a previous work. Such analysis will suggest an alternative algorithm for image segmentation.
Recommender systems are tools whose objective is to evaluate and filter the great amount of information available to assist the users in their information access processes. In this paper, we present a recommender syst...
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ISBN:
(纸本)9789812799463
Recommender systems are tools whose objective is to evaluate and filter the great amount of information available to assist the users in their information access processes. In this paper, we present a recommender system for research resources based on fuzzy linguistic modeling, promoting the collaboration between several research groups.
While organizing cultural events, local authorities are able to make the most of the opportunity and promote the whole tourist destination, thus attracting new visitors. In order to find out the impact of each cultura...
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ISBN:
(纸本)9789812799463
While organizing cultural events, local authorities are able to make the most of the opportunity and promote the whole tourist destination, thus attracting new visitors. In order to find out the impact of each cultural event on tourist activities near the main destination, a RFID based action-tracking framework has been defined. The RFID based action tracking system works as a data retrieval system from key points within the destination area. To address the decision related to the technical issues and to define the logical architecture of the RFID based framework we propose to apply the Fuzzy Analytical Hierarchy Process Scoring (FAHPS) Methodology.
This paper extends a method previously introduced by the authors for building a transparent fault classification algorithm by combining the fuzzy clustering and fuzzy logic techniques. The extension allows the treatme...
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ISBN:
(纸本)9789812799463
This paper extends a method previously introduced by the authors for building a transparent fault classification algorithm by combining the fuzzy clustering and fuzzy logic techniques. The extension allows the treatment of splitted clusters. A numerical application is presented with regards to the fault classification in the Steam Generator of a Nuclear Pressurized Water Reactor.
While we try our utmost to improve the performance of GMDSS (Global Maritime Distress and Safety System) equipments to reduce the increasing false alerts at sea, the ratio of false alert is still high. It has been mak...
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ISBN:
(纸本)9789812799463
While we try our utmost to improve the performance of GMDSS (Global Maritime Distress and Safety System) equipments to reduce the increasing false alerts at sea, the ratio of false alert is still high. It has been making bad effect to the safety at sea and wasting the resource of SAR (Search and Rescue). Therefore it is necessary to make an alerting processing system to identify the false alert rapidly before taking SAR action. This paper designs a Marine Alert Processing System based on intelligent fusion and attribute theory. MAPS can identify alert rapidly and exactly and sends the result to SAR decision support system at RCC.
Chum management and prediction systems' main goal is to determine churners who wish to switch another GSM (Global Services of Mobile Communications) operator for getting more optimum benefits and services. Chum ma...
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ISBN:
(纸本)9789812799463
Chum management and prediction systems' main goal is to determine churners who wish to switch another GSM (Global Services of Mobile Communications) operator for getting more optimum benefits and services. Chum management systems determine patterns to promote the subscribers and prevent them to be lost to another operator. In this study, ANFIS (adaptive neuro fuzzy inference system) and genetic approach based systems are used to determine churners. First classification step starts with parallel Neuro fuzzy classifiers. After then, FIS takes neuro fuzzy classifiers' outputs as input to make a decision about churner activity. Optimization process can be provided by using genetic algorithms to make fine and tuning in fuzzy process.
New methods for group ordering and classifying multi-attribute objects by inconsistent and contradictory preferences of many decision makers are suggested. These methods are based on the theory of multiset metric spac...
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ISBN:
(纸本)9789812799463
New methods for group ordering and classifying multi-attribute objects by inconsistent and contradictory preferences of many decision makers are suggested. These methods are based on the theory of multiset metric spaces. The proposed techniques are applied to real-life case studies: ranking companies and a competitive selection of projects, which are estimated by several experts upon multiple qualitative criteria.
According to Schema Theorem, the larger the fitness value of a schema is, the higher the chance of the sub-space corresponding to the schema being chosen for searching is. Therefore, the coding of a genetic algorithm ...
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ISBN:
(纸本)9789812799463
According to Schema Theorem, the larger the fitness value of a schema is, the higher the chance of the sub-space corresponding to the schema being chosen for searching is. Therefore, the coding of a genetic algorithm should be designed to produces short building blocks at as more fixed positions of the strings as possible. In this paper, an upper and lower bounds of the fitness values of order-n building blocks are given in terms of the maximal fitness values of order-1 building blocks. It is shown that, if a linear-weighted coding supplies order-1 building blocks at most of the loci of the strings, then there is sure to be remarkable fitness differences among high order schemata. In such case, the trajectory of the fitness function contains peaks, and diversity loss is likely to occur in the local search within these peaks.
Although internal rate of return (IRR) has been studied extensively, addressing uncertainty in cash flows for the calculation of IRR has been relatively neglected. In this study, we propose an optimistic and a pessimi...
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ISBN:
(纸本)9789812799463
Although internal rate of return (IRR) has been studied extensively, addressing uncertainty in cash flows for the calculation of IRR has been relatively neglected. In this study, we propose an optimistic and a pessimistic fuzzy relation based approach to IRR, and define the investment decision procedure. Finally, we apply the proposed procedure to a simple project example, and investigate the PV-consistency for the decision.
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