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Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval [chapter]

Maria Salamó, Elisabet Golobardes
Case-Based Reasoning Research and Development  
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features.  ...  We have focused this relation on Rough Sets approaches.  ...  We wish to thank Enginyeria i Arquitectura La Salle -Ramon Llull University for their support to our Research Group in Intelligent Systems.  ... 
doi:10.1007/3-540-45006-8_38 dblp:conf/iccbr/SalamoG03 fatcat:6dmtdmbpyjbttb6awelo3l7fwa

Analysing Rough Sets weighting methods for Case-Based Reasoning Systems

M. Salamo, E. Golobardes
2002 Inteligencia Artificial  
This article proposes two weighting methods based on Rough Sets theory: Proportional Rough Sets and Dependence Rough Sets.  ...  Experiments using different domains show that weighting methods based on Rough Sets maintain or even improve the classification accuracy of Case-Based Reasoning Systems, compared to non-weighting approaches  ...  We would thank Enginyeria i Arquitectura La Salle (Ramon Llull University) for their support to our Research Group in Intelligent Systems.  ... 
doi:10.4114/ia.v6i15.753 fatcat:l7ng4oxw4nbc7lz54pfz3yowka

Research on the Optimization Model of the Abrasive Blocks Using Weighted Case-Based Reasoning

Wei Gao, Shengqiang Yang, Jianyan Tian, Yan Yang, Xiaojian Fan, Wanzhen Wei
2019 Mathematical Problems in Engineering  
Based on the in-depth analysis of the characteristics of the barrel finishing process, a reasonable case base is established firstly, which is to determine the comprehensive case features and the solution  ...  AHP (analytic hierarchy process) is proposed to determine the weight of case features and to dynamically adjust the weight of case features according to the characteristics of the parts to be processed  ...  [9] used rough sets to reduce the dimension of case features and determine the weight of case features.  ... 
doi:10.1155/2019/8981231 fatcat:kxoatwkmwbawdpuqqwaaokgpbm

Survey of Rough and Fuzzy Hybridization

Pawan Lingras, Richard Jensen
2007 IEEE International Fuzzy Systems conference proceedings  
This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization.  ...  However, continuing developments of rough and fuzzy extensions to clustering, neurocomputing, and genetic algorithms make hybrid approaches in these areas a potentially rewarding research opportunity as  ...  Such work has been carried out in [29] , [32] , [61] , where a reduction method was proposed based on fuzzy extensions to the positive region and dependency function based on fuzzy lower approximations  ... 
doi:10.1109/fuzzy.2007.4295352 dblp:conf/fuzzIEEE/LingrasJ07 fatcat:vygojaq46zb6zej6q3jtlna5au

A new document representation using term frequency and vectorized graph connectionists with application to document retrieval

Tommy W.S. Chow, Haijun Zhang, M.K.M. Rahman
2009 Expert systems with applications  
In application level, we develop a document retrieval system based on self-organizing map (SOM) to speed up the retrieval process.  ...  We perform extensive experimental verification, and the results suggest that the proposed method is computationally efficient and accurate for document retrieval.  ...  From Table 1 , based on top-frequency feature extraction method, it is observed that different retrieval tools using features combined tf with tcf achieve significant improvement of retrieval accuracy  ... 
doi:10.1016/j.eswa.2009.03.008 fatcat:um5iynibezdcfdttmsnr4x2i3e

Case Adaptation [chapter]

2004 Foundations of Soft Case-Based Reasoning  
the Use of Case-Based Reasoning / 9 1.4 Advantages of Using Case-Based Reasoning / 9 1.5 Case Representation and Indexing / 11 1.5.1 Case Representation / 12 1.5.2 Case Indexing / 15 1.6  ...  1.1 Background / 1 1.2 Components and Features of Case-Based Reasoning / 2 1.2.1 CBR System versus Rule-Based System / 4 1.2.2 CBR versus Human Reasoning / 5 1.2.3 CBR Life Cycle / 6 1.3 Guidelines for  ...  /or Bayesian models for case selection, case-based inference using fuzzy rules, fuzzy retrieval of cases, fuzzy feature weights learning, rough set-based methods for case retrieval Reuse: reusing cases  ... 
doi:10.1002/0471644676.ch4 fatcat:nfnntr5dnvgvdcedaf5jmypj2e

Classification Algorithm for Library Electronic Documents Based on Continuous Attribute

Jin Zeng, Dost Muhammad Khan
2022 Mathematical Problems in Engineering  
Generally, the kernel method based on support vector machine is used to classify literature data on the standard test set, which has some shortcomings.  ...  algorithm, this paper combines low-frequency discretization, weighted multiple minimum support, and full confidence, and a weighted multiple minimum support association rule mining algorithm based on  ...  reduction algorithm based on neighborhood variable precision rough set (NFARNRS) (iii) Similarity-based attribute reduction algorithm (SIMR) (iv) Fuzzy rough set attribute reduction algorithm based on  ... 
doi:10.1155/2022/3966850 fatcat:xad74e2h4jdxfkr7jtl2srfaea

Semantic Annotation of Ontology by Using Rough Concept Lattice Isomorphic Model

Hongsheng Xu, Ruiling Zhang, Chunjie Lin, Wenli Gan
2015 International Journal of Hybrid Information Technology  
This paper analyzes the methods of ontology mapping and merging based on rough concept lattice isomorphic model and presents semantic annotation of ontology by using rough concept lattice isomorphic model  ...  This paper presents research on semantic annotation based on ontology mapping and merge.  ...  Department (13B520155) and Henan Province basic and frontier technology research project (142300410303).  ... 
doi:10.14257/ijhit.2015.8.2.09 fatcat:vyoevxj5cnba7etewahbgvwecu

Application of Cost Sensitive VPRS and Multi Fractal BP Neural Network in Construction of Intelligent Call Center System

Hongsheng Xu, Ruiling Zhang, Chunjie Lin, Youzhong Ma
2016 International Journal of Database Theory and Application  
This paper analyzes the classification method based on cost sensitive variable precision rough set.  ...  And in this paper, we use the attribute weighted cost sensitive rough set classification method based on established and customer level, customer history records, agents business related dynamic queuing  ...  Department (13B520155) and Henan Province basic and frontier technology research project (142300410303).  ... 
doi:10.14257/ijdta.2016.9.10.11 fatcat:kwtwbtyviretvdouakwkwui66u

Computational Intelligence in Multimedia Processing: Foundation and Trends [chapter]

Aboul-Ella Hassanien, Ajith Abraham, Janusz Kacprzyk, James F. Peters
2008 Studies in Computational Intelligence  
A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and  ...  In addition, a very brief introduction to near sets and near images which offer a generalization of traditional rough set theory and a new approach to classifying perceptual objects by means of features  ...  Hassanien and Jafar [8] presented an application of rough sets to feature reduction, classification and retrieval for image databases in the framework of content-based image retrieval systems.  ... 
doi:10.1007/978-3-540-76827-2_1 fatcat:7jl4ir66vvcl7g436ektwkqwpy

Unified Noise Reduction using Adaptive Radial Basis Function

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Here IUNR (Intelligent Unified Noise Reduction) algorithm is proposed which is based on neural network called adaptive radial basis function acts as a unified filter for Denoising.  ...  Denoising all types of noises to get perfect image is a vital challenge, earlier works on the same mode addressed with one filter for one noise, there is no one common or unified filter which can denoise  ...  This algorithm cannot be applied to speckle noise and Unified Noise Reduction using Adaptive Radial Basis Function Azra Jeelani, Veena M B Gaussian noise. [16] Proposed a new speckle reduction method SAR  ... 
doi:10.35940/ijitee.h7312.078919 fatcat:d7hywgnr7bbsdesaaekosvd7ni

Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets

Jing Zhao, Ning Qi, Zhihan Lv
2021 Complexity  
Formulation of rules and evaluation of system uncertainty: Appropriate decisions can be made based on this. Rough set theory is a new mathematical tool to deal with uncertain knowledge.  ...  In most cases, more reliance is placed on subjective, artificial assignments and scoring loops.  ...  Conflicts of Interest e authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1155/2021/9922410 fatcat:4lzcnkk7yvevxh24mtrq25lmfe

A Novel Case base Indexing Model based on Power Set Tree

Khaled El-Bahnasy, Kareem Mohamed Naguib, Mostafa Aref
2014 International Journal of Computer Applications  
CBR must accurately retrieve similar prior cases for getting a good performance. Throughout this thesis The Novel Case Base Indexing Model based on Power Set Tree has been introduced.  ...  A custom solution designed and built to find the unique combinations for each case in a Case Base. Then use these unique combinations to build the Case Base Index.  ...  Most of systems and techniques relied on rough set to get uniqueness; this model will combine big data and knowledge management with Case based reasoning.  ... 
doi:10.5120/17016-7298 fatcat:m7krfcswdna7dpl6iv34i4ztd4

Improving Situational Awareness for Precursory Data Classification using Attribute Rough Set Reduction Approach

Pushan Kumar Dutta, O. P. Mishra, M.K. Naskar
2013 International Journal of Information Technology and Computer Science  
The association and importance of precursory information in reference to earthquake rupture analysis is found out through attribute reduction based on rough set analysis.  ...  This paper develops a reduced rough set analysis method and implements this novel structure and reasoning process for foreshock cluster forecasting.  ...  This also involves query based search based on machine learning methods that improves the acquisition of natural disaster data like earthquake.  ... 
doi:10.5815/ijitcs.2013.12.06 fatcat:2xncin5swbbh3auteqn7dmji4a

Semantic Reinforced Attention Learning for Visual Place Recognition [article]

Guohao Peng, Yufeng Yue, Jun Zhang, Zhenyu Wu, Xiaoyu Tang, Danwei Wang
2021 arXiv   pre-print
The contribution lies in two-folds. (1) To suppress misleading local features, an interpretable local weighting scheme is proposed based on hierarchical feature distribution. (2) By exploiting the interpretability  ...  Experiments demonstrate that our method outperforms state-of-the-art techniques on city-scale VPR benchmark datasets.  ...  One can infer that the reduction into 4096 dimensions using PCA whitening consistently improves the retrieval performance of all evaluated architectures.  ... 
arXiv:2108.08443v1 fatcat:eg44qmqyprdnpocozq46ngfiui
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