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Performance measurement in a fuzzy retrieval environment

Duncan A. Buell, Donald H. Kraft
1981 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval theoretical issues in information retrieval - SIGIR '81  
We shall consider retrieval performance measures for generalized (non-Boolean) queries and indexing functions. The meanings of recall and precision in such a generalized system will be discussed.  ...  Finally, we shall explore the meaning and difficulty of using such measures to compare Boolean and non-Boolean retrieval systems. i.  ...  CONCLUSIONS We have seen that the usual performance evaluation measures of recall, precision, fallout, and generality have analogues in retrieval environments in which decisions about "retrieval" and "  ... 
doi:10.1145/511754.511762 dblp:conf/sigir/BuellK81 fatcat:plmwr5lfaferxmayrqj4s2vfta

A Novel Information retrieval system for distributed cloud using Hybrid Deep Fuzzy Hashing Algorithm

Dr. V. Suma
2020 Journal of Information Technology and Digital World  
Considering these issues also to improve the retrieval performance, a hybrid deep fuzzy hashing algorithm is introduced in this research work.  ...  Learning based information retrieval is the present trend and in particular deep neural network is widely adopted due to its retrieval performance.  ...  Conclusion A Hybrid Deep fuzzy hashing algorithm for information retrieval from distributed cloud environment is presented in the paper.  ... 
doi:10.36548/jitdw.2020.3.003 fatcat:j26ri5vzqvcvtiwpi7u4eybfjm

Context-aware hybrid reasoning framework for pervasive healthcare

Bingchuan Yuan, John Herbert
2013 Personal and Ubiquitous Computing  
The work in this paper introduces a personalized, flexible and extensible hybrid reasoning framework for CARA system in a smart home environment which provides context-aware sensor data fusion as well  ...  and to achieve query sensitive case retrieval and case adaptation.  ...  0.7 To measure the performance of our approach, we added a time checking function.  ... 
doi:10.1007/s00779-013-0696-5 fatcat:fr6c76hpdbeilmzpyscjxziaqy

Hybrid Reasoning Framework for CARA Pervasive Healthcare [chapter]

Bingchuan Yuan, John Herbert
2013 Lecture Notes in Computer Science  
The work in this paper introduces a personalized, flexible and extensible hybrid reasoning framework for CARA system in a smart home environment which provides context-aware sensor data fusion as well  ...  We study how the incorporation of rule-based and case-based reasoning enables CARA to become more robust and to adapt to a changing environment by continuously retraining with new cases.  ...  To measure the performance of our approach, we added a time checking function.  ... 
doi:10.1007/978-3-642-39470-6_16 fatcat:voati4hgozbo3eylpeizdvy5q4

Analyzing the Performance of a Multiobjective GA-P Algorithm for Learning Fuzzy Queries in a Machine Learning Environment [chapter]

Oscar Cordón, Enrique Herrera-Viedma, María Luque, Félix de Moya, Carmen Zarco
2003 Lecture Notes in Computer Science  
In this work we test the applicability of a multiobjective evolutionary IQBE technique for fuzzy queries in a machine learning environment.  ...  The fuzzy information retrieval model was proposed some years ago to solve several limitations of the Boolean model without a need of a complete redesign of the information retrieval system.  ...  Hence, we represent a retrieval environment where no document retrieved by the learned queries in the test sets has been previously seen by the user.  ... 
doi:10.1007/3-540-44967-1_73 fatcat:wkb4adux5rdfxikinntwneorya

Experimentation With Fuzzy Interest Forwarding in Named Data Networking [article]

Spyridon Mastorakis, Kevin Chan, Bongjun Ko, Alexander Afanasyev and Lixia Zhang
2018 arXiv   pre-print
The current approach to this problem-establishing naming conventions and performing name lookup-can be infeasible in highly ad hoc, heterogeneous, and dynamic environments: the same data can be named using  ...  In this paper, we present a fuzzy Interest forwarding approach that exploits semantic similarities between the names carried in Interest packets and the names of potentially matching data in CS and entries  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
arXiv:1802.03072v2 fatcat:6xng5pmpszarjpazvvpak7maxy

A Decision Support System for Diabetes Mellitus Management

Shaker El Sappagh, Mohammed Elmogy
2016 Diabetes Case Reports  
., [30] integrated fuzzy-CBR reasoning with crisp ontology reasoning for personalized service in a smart home environment.  ...  We used the leave-one-out technique to measure the performance for nonexisting cases.  ... 
doi:10.4172/2572-5629.1000102 fatcat:uxanav4fynhtzhpffhyqstjcla

Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics

Félix Díaz-Hermida, Alberto Bugarín, Purificación Cariñena, Manuel Mucientes, David E. Losada
2009 International Journal of Intelligent Systems  
We provide empirical evidence on the adequacy of fuzzy quantification to support different tasks in the context of mobile robotics and information retrieval.  ...  In this work, we review the application of fuzzy quantification in two application domains.  ...  retrieval measures.  ... 
doi:10.1002/int.20349 fatcat:vixsmksqwzgkxht7nyb5ynuxvy

Feature decreasing methods using fuzzy rough set based on mutual information

Maryam Shahabi Lotfabadi, Mohd Fairuz Shiratuddin, Kok Wai Wong
2013 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA)  
In large multimedia databases, it may not be practical to search through the entire database in order to retrieve the nearest neighbours of a query.  ...  From the experimental results, it is shown that the fuzzy rough set based on mutual information can perform better than the other two rough set decreasing methods with increased image retrieval precision  ...  Traditional rough set theory is restricted to crisp environments, and it has been extended to fuzzy environments, resulting in the development of the fuzzy rough set [13] .  ... 
doi:10.1109/iciea.2013.6566538 fatcat:akapiy35dfalzaz2izxyikrtqu

Soft case-based reasoning

WILLIAM CHEETHAM, SIMON SHIU, ROSINA O. WEBER
2005 Knowledge engineering review (Print)  
We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft  ...  The aim of this commentary is to discuss the contribution of soft computing-a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning-to the development of  ...  Case base maintenance refers to the constant updating and maintaining of the knowledge in the CBR system to ensure correct system performance in response to changes in task or environment.  ... 
doi:10.1017/s0269888906000579 fatcat:gypxjbzvqbekvigpjqnlsn6zfu

Using fuzzy rough feature selection for image retrieval system

Maryam Shahabi Lotfabadi, Mohd Fairuz Shiratuddin, Kok Wai Wong
2013 2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)  
In this paper Fuzzy Rough Set is used for feature selection in the Content Based Image Retrieval system.  ...  As a result, the proposed method performed better in term of accuracies in most of the different types of noise when compared to the other four feature selection methods.  ...  This image dataset does not have any noise, so we added noise to the queried image to compare the performance of the Fuzzy Rough Set feature selection with other feature selection methods in a noisy environment  ... 
doi:10.1109/cimsivp.2013.6583846 dblp:conf/cimsivp/LotfabadiSW13 fatcat:csox3buybndazk5lvh7lbau5te

Fuzzy Rating Framework for Knowledge Management

Sheng-Tun Li, Hei-Fong Ho
2007 Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)  
The main contribution of this framework is to explore a novel measure of knowledge-consistency level (KC ratio) for identifying experts in performance-rating domain.  ...  In this work we deploy five phases of the Case-based Reasoning in a fuzzy rating framework, which illustrates a holistic knowledge management method including eliciting expert's experience into case base  ...  In fuzzy environments, experts usually express their judgments by using numerical values assessed in a unit interval.  ... 
doi:10.1109/iihmsp.2007.4457781 dblp:conf/iih-msp/LiH07 fatcat:v3wcpagqtfbgri7qf2kqlxdamm

VIRMA: Visual Image Retrieval by Shape MAtching [chapter]

G. Castellano, C. Castiello, A. M. Fanelli
2006 Lecture Notes in Computer Science  
In this paper, we present a system, called VIRMA (Visual Image Retrieval by Shape MAtching), which combines different techniques from Computer Vision to perform content-based image retrieval based on shape  ...  Application of VIRMA to a database of real-world pictorial images shows its effectiveness in visual image retrieval.  ...  To perform a quantitative measure of retrieval accuracy, we take into account the recall R and precision P indicators [9] that are defined in terms of relevant items and retrieved items in the context  ... 
doi:10.1007/11875604_24 fatcat:k2373yaakfdqlp6fz6i4qhn3vy

Applying Local Optimization Algorithms in Clustering Combination with Diversity Maximization

Z. Faizal, Mohammed Khaleel
2016 Communications on Applied Electronics  
In order to overcome these drawbacks, we proposed a novel fuzzy based optimization technique in the Grid computing environment based on an encrypted text along with Fuzzy rules.  ...  The retrieval of encrypted contents from a huge set of distributed databases leads to complexity in the grid computing environment.  ...  The huge amount of computations in a Grid [16] environment cannot be performed even by the best algorithms.  ... 
doi:10.5120/cae2016652160 fatcat:tbqabyvdtner5gubtnfl7qk4d4

MapReduce neural network framework for efficient content based image retrieval from large datasets in the cloud

Sitalakshmi Venkatraman, Siddhivinayak Kulkarni
2012 2012 12th International Conference on Hybrid Intelligent Systems (HIS)  
To address this, the paper proposes a novel MapReduce neural network framework for CBIR from large data collection in a cloud environment.  ...  We adopt natural language queries that use a fuzzy approach to classify the colour images based on their content and apply Map and Reduce functions that can operate in cloud clusters for arriving at accurate  ...  ACKNOWLEDGMENT The authors wish to thank Ranisha Fernando for the initial experimental study conducted in this ongoing research work.  ... 
doi:10.1109/his.2012.6421310 dblp:conf/his/VenkatramanK12 fatcat:forqt3yjnvbznhzdpqtwqrjqyi
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