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Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–Based Image Retrieval System

Saad M. Darwish, Raad A. Ali
2014 Journal of clean energy technologies  
Semantic-based image retrieval has been one of the most challenging problems in recent years.  ...  Index Terms-Type-2 fuzzy logic, semantic-based image retrieval, soft computing, image processing.  ...  Following this recent development, this paper presents an improved approach for semantic based image retrieval using type-2 fuzzy logic (T2FL) controller.  ... 
doi:10.7763/ijcte.2015.v7.921 fatcat:j2v2n46rrvf7bfe6agvbvhbm6y

Intelligent User Interface in Fuzzy Environment [article]

Ben Khayut, Lina Fabri, Maya Abukhana
2014 arXiv   pre-print
The proposed technology of IUI design is defined by multi-agents of Situational Control and of data, information and knowledge, modelling of Fuzzy Logic Inference, Generalization, Representation and Explanation  ...  other languages, utilizing the principles of Situational Control and Fuzzy Logic theories, Artificial Intelligence, Linguistics, Knowledge Base technologies and others.  ...  unit, based on the achievements of Fuzzy Logic, Situational Control, Artificial Intelligence, Linguistics, Knowledge base technologies and others.  ... 
arXiv:1402.2149v1 fatcat:z4nrtmqnqfgkxhqrr5fplhc5y4

Intelligent User Interface in Fuzzy Environment

Ben Khayut, Lina Fabri, Maya Abukhana
2014 International Journal of Artificial Intelligence & Applications  
Human-Computer Interaction with the traditional User Interface is done using a specified in advance script dialog "menu", mainly based on human intellect and unproductive use of navigation.  ...  To solve this and other problems, we propose the data, information and knowledge based technology of Smart/ Intelligent User Interface (IUI) design, which interacts with users and systems in natural and  ...  According Wikipedia the Fuzzy Control System is a control system based on fuzzy logic -a mathematical system that analyzes analog input values in terms of logical variables that take on conditions values  ... 
doi:10.5121/ijaia.2014.5105 fatcat:hez5nlzttfg2lnyxaidpsqqto4

2007 Index IEEE Transactions on Fuzzy Systems Vol. 15

2007 IEEE transactions on fuzzy systems  
., +, T-FS June 2007 426-438 Control Design for Fuzzy Systems Based on Relaxed Nonquadratic Stability and H Performance Conditions.  ...  ., +, T-FS April 2007 200-210 Control Design for Fuzzy Systems Based on Relaxed Nonquadratic Stability and H Performance Conditions.  ...  ., +, T-FS Oct. 2007 916-930 A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method. Tseng, V.  ... 
doi:10.1109/tfuzz.2007.913348 fatcat:zddjy3mwzrcnhakchr6v5l7jh4

Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System

K. R. Uthayan, G. S. Anandha Mala
2015 The Scientific World Journal  
The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers.  ...  The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field.  ...  The Scientific World Journal 9 Furthermore, the hope of this research work motivates implementing fuzzy theory and neural network methods to build fuzzy ontology from unstructured data automatically.  ... 
doi:10.1155/2015/414910 pmid:25922851 pmcid:PMC4397492 fatcat:odn2nn5nvffr3jzb5fgsb7eoey

Generalizations of Rough Sets: From Crisp to Fuzzy Cases [chapter]

Masahiro Inuiguchi
2004 Lecture Notes in Computer Science  
by Occupancy Degree and Optimal Partition of Projection p. 316 A Novel High Performance Fuzzy Controller Applied to Traffic Control of ATM Networks p. 327 Design of a Speed Drive Based on Fuzzy Logic  ...  in Rough Context p. 295 Constrained Sums of Information Systems p. 300 Defeasible Deontic Control for Discrete Events Based on EVALPSN p. 310 Fuzzy Logic and Modeling Rough Set Based Fuzzy Modeling  ... 
doi:10.1007/978-3-540-25929-9_3 fatcat:saiacsrpovgphlh5zzhoq4tcrq

Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications

Ali Nail Ozdin, Adnan Yazici, Murat Koyuncu
2019 Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)  
Our implementation confirms that extended semantic Web technologies with fuzzy logic can have a significant impact on the detection of activities in WMSNs.  ...  At the top of the architecture, there is a semantic web layer that includes a semantic web application server, a fuzzy reasoning engine, and a semantic knowledge base.  ...  Figure 2 : 2 Fuzzy ontology design at semantic layer. Figure 3 : 3 Fuzzy logic controller implementation on semantic web reasoning.  ... 
doi:10.2991/eusflat-19.2019.18 dblp:conf/eusflat/OzdinYK19 fatcat:qb5smyw55bfixitdtdfhb7h3cy

Knowledge Construction and Representation in E-Learning using Semantic Web Techniques

Jale Narimisaei, Bita Shadgar, Alireza Osareh
2012 International Journal of Computer Applications  
The proposed method is developed for creating knowledge base from existing concepts in fuzzy logic domain.  ...  This article presents a system for automatically learning knowledge construction and representation in e-learning which is based on the concept map, RDF data modeling and ontology languages.  ...  They present a semantic web technologies-based multi-agent system that allows to 5 Knowledge Query and Manipulation Language automatically control students' acquired knowledge in elearning frameworks.  ... 
doi:10.5120/6092-8276 fatcat:waa3f425ujfuzl54kyyu7ibnxq

Designing and Modeling Fuzzy Control Systems

Disha Sharma
2011 International Journal of Computer Applications  
This paper analyses the fuzzy-modeling problem and different approaches to coping with it, focusing on evolutionary fuzzy modeling-the design of fuzzy inference systems using evolutionary algorithms.  ...  The paper provides an introduction to the use of fuzzy sets and fuzzy logic for the approximation of functions and modeling of static and dynamic systems.  ...  As noted before, logical parameters are usually predefined by the designer based on experience.  ... 
doi:10.5120/1973-2644 fatcat:v2ruukbbmzbjbdtaytbxbntflq


BAHODIR MUMINOV, Ulugbek Bekmurodov
2021 International Islamic University Malaysia Engineering Journal  
FSV technology is an instrumental software platform based on a client-server architecture, integration and modification of models, and methods and algorithms of AML in the information environment of corporate  ...  It is enough to have 3 basic stages of the modules in the SPD of a diversified corporate network: (F) - the method of submitting the request, i.e. the method of forming the expression of the information  ...  In this regard, including special attention is paid to improving the technology of searching and processing data based on semantic and fuzzy rules in corporate networks, database design and logical knowledge  ... 
doi:10.31436/iiumej.v22i1.1389 fatcat:3i3zimnhovg63d2of2iluaqcie

Hybrid approach for context-aware service discovery in healthcare domain

G. Fenza, D. Furno, V. Loia
2012 Journal of computer and system sciences (Print)  
The main idea of this work is related to enrich with qualitative representation of context underling data by means of Fuzzy Logic in order to automatically recognize the context and to consequently find  ...  Nevertheless, in a context aware domain purely logic-based reasoning on respectively context and services may not be enough.  ...  The similarity measure is based on the set-theoretic operations of intersection and union, to determine the similarity between fuzzy sets.  ... 
doi:10.1016/j.jcss.2011.10.011 fatcat:muc7rig2yzccpebkree44lzt5a

Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro

Serge Guillaume, Brigitte Charnomordic
2012 Expert systems with applications  
A second approach, proposed in the mid eighties [54] , was based on automatic learning from data.  ...  As a reaction, fuzzy logic researchers developed a new field of research. As shown in [29] , the use of fuzzy formalism is not sufficient to ensure the interpretability of a knowledge base.  ...  Control systems are based on a deep knowledge of the process to be modelled.  ... 
doi:10.1016/j.eswa.2012.01.206 fatcat:s7gjzfob65fyde5my3vsabrfs4

Interaction-Dependent Semantics for Illustrative Volume Rendering

Peter Rautek, Stefan Bruckner, M. Eduard Gröller
2008 Computer graphics forum (Print)  
We show that the evaluation of the fuzzy logic can be done on the graphics hardware enabling the efficient use of interaction-dependent semantics.  ...  With semantic layers fuzzy logic is used to evaluate the user defined illustration rules in a preprocessing step.  ...  The work presented in this publication is carried out as part of the ex vis ation project supported by the Austrian Science Fund (FWF) grant no. P18322.  ... 
doi:10.1111/j.1467-8659.2008.01216.x fatcat:hldsh2knhbgrxglhnwpxtgfqxi


Praful Mishra
2018 International Journal of Advanced Research in Computer Science  
Fuzzy logic is a primitive model in this system which is used to output the final score based on inputs which are the outputs of LSA and WMD.  ...  The main task of automatic grading system is to assign ordinal scores to student answers, based on "model" or ideal answers.  ...  It is based on the fuzzy set theory that allows the elements of a set to have varying degrees of membership, from a non-membership grade of 0 to a full membership of 100 per cent or grade 1.Fuzzy logic  ... 
doi:10.26483/ijarcs.v9i2.5783 fatcat:rnpceobvnfdgpckonstck5am4y

Fuzzy Logic Applications for Knowledge Discovery: a Survey

Jorge Ropero, Carlos Leon, Alejandro Carrasco, Ariel Gomez, Octavio Rivera
2011 International Journal of Advancements in Computing Technology  
In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE).  ...  We introduce a huge variety of FL applications, using the two main existing approaches: the applications based on the Vector Space Model (VSM); and the applications based on ontologies.  ...  Algorithms of clustering have been developed, based on the local weight and the measure of the similarity of the cosine.  ... 
doi:10.4156/ijact.vol3.issue6.22 fatcat:j2d7fl6irzgvbn2qualdgshuqq
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