Corrado Mencar's Publications List

Data-driven Design of Fuzzy Classification Rules with Semantic Cointension

2010-05-20T14:16:48Z

Raffaele Cannone, Ciro Castiello, Corrado Mencar, Anna Maria Fanelli (To appear) 2010 World Congress on Computational Intelligence (WCCI 2010) :

Item Recommendation with Veristic and Possibilistic Metadata : a Preliminary Approach

2010-05-20T14:10:15Z

D Dell’Agnello, C Mencar, A M Fanelli (2009) Proceedings of the 9th International Conference on Intelligent Systems Design and Applications : 261-266

Deriving adaptive fuzzy learner models for Learning-Object recommendation

2009-09-18T12:56:33Z

Adaptive e-learning systems are growing in popularity in recent years. These systems can offer personalized learning experiences to learners, by supplying each learner with learning contents that meet his/her specific interests and needs. The efficacy of such systems is strictly related to the possibility of automatically deriving models encoding the preferences of each learner, analyzing their n...

Giovanna Castellano, Ciro Castiello, Danilo Dell'Agnello, Corrado Mencar, Maria A. Torsello (2009) Proc. of 15th International Conference on Distributed Multimedia Systems (DMS 2009)

A logic-based approach for evaluating interpretability of fuzzy rule-based classifiers

2009-09-18T12:57:52Z

We describe an automatic approach for evaluating interpretability of fuzzy rule-based classifiers. The approach is based on the logical view of fuzzy rules, which are interpreted as rows in truth tables. These truth tables are subject of a minimization procedure based on a variant of the Quine-McCluskey algorithm. The minimized truth tables are used to build new fuzzy rules, which are compared wit...

Corrado Mencar, Ciro Castiello, Anna M. Fanelli (2009) 2009 International Fuzzy Systems World Congress 339-344

A System for Fuzzy Items Recommendation

2010-02-25T15:56:40Z

This contribution presents a user profile modelling approach based on fuzzy logic techniques. The proposed approach is conceived to find application in various contexts, with the aim of providing personalised contents to different categories of users. Both contents and users are described by metadata, so a description language is introduced along with a formal model defining their association mech...

Corrado Mencar, Ciro Castiello, Danilo Dell’Agnello, Anna Maria Fanelli (2009) Web Personalization in Intelligent Environments 119-140

Interpretability of Fuzzy Information Granules

2009-06-12T15:20:22Z

Human-Centric Information Processing requires tight communication processes between users and computers. These two actors, however, traditionally use different paradigms for representing and manipulating information. Users are more inclined in managing perceptual information, usually expressed in natural language, whilst computers are formidable number-crunching systems, capable of manipulating in...

Corrado Mencar (2009) Human-Centric Information Processing Through Granular Modelling 95-118

A Study on Interpretability Conditions for Fuzzy Rule-Based Classifiers

2010-05-20T14:15:53Z

Raffaele Cannone, Ciro Castiello, Corrado Mencar, Anna Maria Fanelli (2009) Proceedings of the Ninth International Conference on Intelligent System Design and Applications : 438-443

Interpretability Assessment of Fuzzy Rule-Based Classifiers

2010-02-25T15:54:41Z

Corrado Mencar, Ciro Castiello, Anna Maria Fanelli (2009) WILF ’09 : Proceedings of the 8th International Workshop on Fuzzy Logic and Applications : 155-162

Modeling User Preferences through Adaptive Fuzzy Profiles

2010-05-20T14:06:04Z

Corrado Mencar, Maria Alessandra Torsello, Danilo Dell’Agnello, Giovanna Castellano, Ciro Castiello (2009) Proceedings of ISDA'09 (Int. Conf. on Intelligent Systems Analysis and Design) : 1031-1036

Modelli statistici basati su reti neuro-fuzzy per la stima delle emissioni inquinanti in atmosfera

2010-05-20T14:11:48Z

Corrado Mencar (2009) :

A Profile Modelling Approach for E-Learning Systems

2009-02-20T14:38:09Z

This paper presents a user profile modelling approach based on fuzzy logic techniques. The proposed approach is conceived to find application in the context of e-learning processes, with the aim of providing personalised contents to different categories of users. Several concepts are introduced and formalised within a peculiar mathematical framework which bases its working engine on an innovative ...

Corrado Mencar, Ciro Castiello, Anna M Fanelli (2008) Lecture Notes in Computer Science 5073: 275-290

Fuzzy User Profiling in e-Learning Contexts

2009-02-20T14:38:09Z

The research activity described in this paper concerns the personalisation process in e-learning contexts. Particular emphasis is laid on the mechanisms of user profiling and association between user profiles and pedagogical resources. A particular profiling model is proposed where both the pedagogical resources and the user profiles are described in terms of a fuzzy valued metadata specification....

Corrado Mencar, Ciro Castiello, Anna Maria Fanelli (2008) Lecture Notes in Computer Science http://www.springerlink.com/content/m2977r3250412h8g/?p=9153c72fb6784e4a84436bdb5cb8316d&pi=5 5178: 230-237

Interpretability constraints for fuzzy information granulation

2009-02-20T14:38:09Z

Information granules are complex entities that arise in the process of abstraction of data and derivation of knowledge. The automatic generation of information granules from data is an important task, since it gives to machines the ability of acquiring knowledge that can be communicated to users. For this purpose, knowledge acquisition should provide for fuzzy information granules that can be natu...

Corrado Mencar, Anna M Fanelli (2008) Information Sciences http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V0C-4TBGDYW-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=31018de5ba09fc98a50cc838fa210ff0 178: 24 4585-4618

Profilazione di utenti in un ambiente di e-learning mediante tecniche fuzzy

2009-06-12T15:02:51Z

Questo lavoro presenta uno studio sulla personalizzazione dei contenuti erogati in modalitÃ e-learning, soffermandosi sulla attivitÃ relativa alla profilazione degli utenti e alla associazione tra profili utente e risorse didattiche. In particolare, Ãš proposto un modello di profilazione in cui sia le risorse didattiche sia i profili degli utenti sono descritti attraverso metadati specific...

C Castiello, A M Fanelli, C Mencar, M A Torsello G. Castellano (2008) Atti del Congresso DIDAMATICA 2008 322-331

A Neural Network for Water Level Prediction in Artesian Wells

2009-06-12T14:52:09Z

The paper shows an application of neural networks for the prediction of water levels in artesian wells. The design of the neural network follows a systematic methodology, which can be used for a variety of prediction problems. A part of the design methodology is based on cross validation, which helped us in finding and correcting data anomalies due to different methods used for generating data. ...

Anna M Fanelli, Corrado Mencar, Michele Chieco (2008) Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation 686-691

Mining diagnostic rules using fuzzy clustering

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2007) Advances in Fuzzy Clustering and Its Applications http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470027606.html : 211-228

Distinguishability quantification of fuzzy sets

2009-02-20T14:38:09Z

Distinguishability is a semantic property of fuzzy sets that has a great relevance in the design of interpretable fuzzy models. Distinguishability has been mathematically defined through different measures, which are addressed in this paper. Special emphasis is given to similarity, which exhibits sound theoretical properties but its calculation is usually computationally intensive, and possibility...

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2007) Information Sciences 177: 1 130-149

On the role of interpretability in fuzzy data mining

2009-02-20T14:38:09Z

Data Mining, a central step in the broader overall process of Knowledge Discovery from Databases, concerns with discovering useful properties, called patterns, from data. Understandability is an essential yet rarely tackled feature that makes resulting patterns accessible by end users. In this paper we argue that the adoption of Fuzzy Logic for Data Mining can improve understandability of de...

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2007) International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS) 15: 5 521-537

Similarity-based clustering for user profiling

2009-02-20T14:38:09Z

User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data available in log files. Often, fuzzy clustering is based on the assumption that data lay on an Euclidean space; however, clustering based on Euclidean distance can lead the clustering process to find user representations t...

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar, Maria Alessandra Torsello (2007) Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2007) : 75-78

Improving the classification ability of DC* algorithm

2009-02-20T14:38:09Z

DC* (Double Clustering by A*) is an algorithm for interpretable fuzzy information granulation of data. It is mainly based on two clustering steps. The first step applies the LVQ1 algorithm to find a suitable representation of data relationships. The second clustering step is based on the A* search strategy and is aimed at finding an optimal number of fuzzy granules that can be labeled with linguis...

Corrado Mencar, Arianna Consiglio, Giovanna Castellano, Anna Maria Fanelli (2007) Applications of Fuzzy Sets Theory (7th International Workshop on Fuzzy Logic and Applications, WILF 2007) http://www.springerlink.com/content/y8529766p3140w26/?p=e5b50faf4b1d4443a6fe3957651024bd\&pi=0 4578: 145-151

Log data preprocessing for mining Web browsing

2009-02-20T14:38:09Z

The World Wide Web is continuously growing, being today one of the biggest repositories ever built. As a consequence, there is an increasing need of making Web sites adaptive, i.e. capable of providing different content/structure to users according to their needs and preferences. Analyzing the visitor behavior is a fundamental part in the design of an adaptive Web site. A common source of informat...

G Castellano, Anna Maria Fanelli, Corrado Mencar, Maria Alessandra Torsello (2007) Proceedings of 8th Asia Pacific Industrial Engineering & Management System and 2007 Chinese Institute of Industrial Engineers Conference (APIEMS & CIIE 2007) :

Interpretable Granulation of Medical Data with DC*

2009-02-20T14:38:09Z

Corrado Mencar, Arianna Consiglio, Anna Maria Fanelli (2007) Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on : 162-167

DCγ : Interpretable Granulation of Data through GA-based Double Clustering

2009-02-20T14:38:09Z

In this paper we present an approach for extracting interpretable information granules for classification. The approach, called DCÂ¿ (Double Clustering with Genetic Algorithms) is based on two clustering steps. The first step uses LVQ1 to identify cluster prototypes in the multidimensional data space so as to represent hidden relationships among data. In the second step a genetic algorithm is ap...

Corrado Mencar, Arianna Consiglio, Anna Maria Fanelli (2007) Proceedings of IEEE International Conference on Fuzzy Systems, 2007 (FUZZ-IEEE 2007). : 1-6

Classifying data with interpretable fuzzy granulation

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar, V L Plantamura (2006) Proceedings of SCIS&ISIS 2006 : 872-877

Interface optimality in fuzzy inference systems

2009-02-20T14:38:09Z

In this paper we address the issue of designing optimal fuzzy interfaces, which are fundamental components of a fuzzy inference system. Due to the different roles of input and output interfaces, optimality conditions are analyzed separately for the two types of interface. We prove that input interfaces are optimal when based on a particular class of fuzzy sets called â??bi-monotonicâ??, provided...

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2006) International Journal of Approximate Reasoning http://periodici.caspur.it/cgi-bin/sciserv.pl?collection=journals\&journal=0888613x\&issue=v41i0002\&article=128_ioifis 41: 2 128-145

Bi-monotonic Fuzzy Sets Lead to Optimal Fuzzy Interfaces

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2006) Lecture Notes in Computer Science 2955: 39-45

Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation

2009-02-20T14:38:09Z

In this paper we present a multi-level approach for extracting well-defined and semantically sound information granules from numerical data. The approach is based on the Double Clustering framework (DCf), which performs two main clustering steps on the data space in order to extract granules qualitatively described in terms of fuzzy sets that meet a number of interpretability constraints. While DC...

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2006) Fuzzy Systems, 2006 IEEE International Conference on : 2157-2163

On the role of interpretability in fuzzy data mining

2009-02-20T14:38:09Z

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2006) Proceedings of Fuzzy Sets in Computer Science (FSCS 2006) : 27-30

Knowledge Discovery by a Neuro-Fuzzy Modeling Framework

2009-02-20T14:38:09Z

In this paper a neuro-fuzzy modeling framework is proposed, which is devoted to discover knowledge from data and represent it in the form of fuzzy rules. The core of the framework is a knowledge extraction procedure that is aimed to identify the structure and the parameters of a fuzzy rule base, through a two-phase learning of a neuro-fuzzy network. In order to obtain reliable and readable knowled...

Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar (2005) Fuzzy Sets and Systems 149: 1 187-207

HUGE : an integrated system for human understandable granule extraction

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2005) Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American : 711-716

DCf : a double clustering framework for fuzzy information granulation

2009-02-20T14:38:09Z

In this paper, we present a framework for extracting well-defined and semantically sound information granules. The framework is mainly centered on a double clustering process, hence, it is called DCf (double clustering framework). A first clustering process identifies cluster prototypes in the multidimensional data space, then the projections of these prototypes are further clustered along each di...

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2005) Granular Computing, 2005 IEEE International Conference on 2: 397-400

Theory of Fuzzy Information Granulation : Contributions to Interpretability Issues

2010-05-20T14:17:36Z

Corrado Mencar, (2005) :

Some Fundamental Interpretability Issues in Fuzzy Modeling

2009-02-20T14:38:09Z

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2005) Proceedings of EUSFLAT 2005 (EUropean Society om Fuzzy Logic And Technology) : 100-105

Deriving Prediction Intervals for Neurofuzzy Networks

2009-02-20T14:38:09Z

In this paper, we describe a method to derive prediction intervals for neuro-fuzzy networks used as predictive systems. The method also enables the definition of prediction intervals for the fuzzy rules that constitute the rule base of the neuro-fuzzy network, resulting in a more readable and robust knowledge base. Moreover, the method does not depend on a specific architecture and can be applied ...

Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli (2005) Mathematical and Computer Modelling 42: 7-8 719-726

Optimality Degree Measurement in Fuzzy System Interfaces

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2004) Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems (EUNITE 2004) : 443-451

An Optimality Criterion for Fuzzy Output Interfaces

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2004) Proceedings of International Conference on Intelligent System Design and Application (ISDA’04) : 601-605

Interpretable information granules with Minkowski FCM

2009-02-20T14:38:09Z

Corrado Mencar, Andrzej Bargiela, Giovanna Castellano, Anna Maria Fanelli (2004) Fuzzy Information, 2004. Processing NAFIPS ’04. IEEE Annual Meeting of the 1: 456-461

An empirical risk functional to improve learning in a neuro-fuzzy classifier

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2004) Systems, Man and Cybernetics, Part B, IEEE Transactions on 34: 1 725-731

Similarity vs. Possibility in Measuring Fuzzy Sets Distinguishability

2009-02-20T14:38:09Z

Corrado Mencar, Giovanna Castellano, Andrzej Bargiela, Anna Maria Fanelli (2004) Proceedings of RASC 2004 (RECENT ADVANCES IN SOFT COMPUTING). : 354-359

Una Metodologia Neuro-Fuzzy per la Predizione delle Proprieta dei Rifiuti Industriali

2009-02-20T14:38:09Z

Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar (2004) Intelligenza Artificiale 1(3): 27-35

Discovering Human Understandable Fuzzy Diagnostic Rules from Medical Data

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Proceedings of European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems (EUNITE 2003) : 227-233

Discovering Prediction Rules by a Neuro-Fuzzy Modelling Framework

2009-02-20T14:38:09Z

Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar (2003) Lecture Notes in Computer Science 2773: 1242-1248

Design of Transparent Mamdani Fuzzy Inference Systems

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Design and Application of Hybrid Intelligent Systems 104: 468-476

Deriving Prediction Intervals for Neurofuzzy Networks

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Computational Methods in Sciences and Engineering 2003 : 104-109

DCClass : A Tool to Extract Human Understandable Fuzzy Information Granules for Classification

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Proceedings of 4TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS 2003) : 376-379

Fuzzy Information Granulation - A Compact, Transparent and Efficient representation

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 7(2): 160-168

Fuzzy Granulation of Multidimensional Data by a Crisp Double Clustering Algorithm

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Proceedings of 7th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2003) : 372-377

A fuzzy clustering approach for mining diagnostic rules

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2003) Systems, Man and Cybernetics, 2003. IEEE International Conference on 2: 2007-2012

A double-clustering approach for interpretable granulation of data

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2002) Systems, Man and Cybernetics, 2002 IEEE International Conference on 2: 483-487

A Compact Gaussian Representation of Fuzzy Information Granules

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2002) Proceedings of Joint 1st International Conference on Soft Computing and Intelligent Systems, and 3rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2002) :

A Neuro-Fuzzy Network To Generate Human Understandable Knowledge From Data

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2002) Cognitive Systems Research 3(2): 125-144

Le Insidie del Data Modeling con XML

2009-02-20T14:38:09Z

Corrado Mencar (2002) Computer Programming 109: 32-35

Discovering Classification Rules from Neural Processed Data

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2002) Atti Del VIII Convegno dell’Associazione Italiana Per l’Intelligenza Artificiale : 473-482

Generation Of Interpretable Fuzzy Granules By A Double-Clustering Technique

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2002) Archives of Control Sciences 12: 4 397-410

Extracting Interpretable Fuzzy Knowledge from Data

2009-02-20T14:38:09Z

Corrado Mencar (2002) From Synapses to Rules : Discovering Symbolic Rules from Neural Processed Data : 109-116

Automatic fuzzy encoding of complex objects

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2001) IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th 1: 407-410

A New Empirical Risk Functional to Train a Neuro-Fuzzy Classifier

2009-02-20T14:38:09Z

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar (2000) Proceedings of EUROPEAN SYMPOSIUM ON INTELLIGENT TECHNIQUES (ESIT 2000) : 429-436