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Selected papers from NAFIPS 2006, 2006 Annual Conference of the North American Fuzzy Information Processing Society
Fuzzy Sets and Systems 159 (2008) 2785 www.elsevier.com/locate/fss
Editorial
Selected papers from NAFIPS 2006, 2006 Annual Conference of the North American Fuzzy Information Processing Society This special issue contains five selected papers. These papers are the extended versions of the papers presented at NAFIPS 2006, 2006 Annual Conference of the North American Fuzzy Information Processing Society, held in Montreal, June 3–6, 2006. The conference featured over 130 papers and attracted participants from over 20 countries all over the world. The papers were presented in a total of 32 sessions, six of which were invited sessions. The promising work of student authors were recognized by giving awards to the five best papers presented by student authors. The first paper in the special issue is titled “On two qualitative approaches to tolerant inclusion operators” by P. Bosc and O. Pivert. This paper introduces two extensions to inclusion operator. The general idea advocated here is the tolerance for qualitative exceptions, which leads to the definition of a tolerant inclusion. The use of these approaches for database flexible querying serves is also discussed. The second paper which is titled “Adaptive Prototype Based Fuzzy Classification” by N. Cebron and M. R. Berthold is presented in an invited session titled “Recent Advances on Learning Approaches”. This paper explores the problem of classifying hundreds of thousands of cell assay images obtained by a high-throughput screening camera. A new adaptive active clustering scheme, based on an initial fuzzy c-means clustering and learning vector quantization, is proposed. This approach is especially useful in the field of bioinformatics. The third paper titled “Monotone Mamdani–Assilian models under mean of maxima defuzzification” by E. Van Broekhoven and B. De Baets has won the best student paper award at the conference. The paper deals with monotonicity of the output of Mamdani–Assilian models using trapezoidal membership functions, monotone rule base and Mean Of Maxima defuzzification method. The fourth paper is titled “Interval-valued probability in the analysis of problems containing a mixture of possibilistic, probabilistic, and interval uncertainty” by W.A. Lodwick and K.D. Jamison and it was presented in the invited session titled “Interrelation between Interval and fuzzy techniques”. Authors first construct interval-valued probability measures and then develop the extension of these measures in such a way that probability, possibility, clouds, and intervals fit within the context of interval-valued probability. The final paper is titled “Effective classification using feature selection and fuzzy integration” by N.J. Pizzi and W. Pedrycz. This paper presents a new methodology, which systematically addresses design classification issues. More specifically, a new approach for stochastic feature selection is introduced and fuzzy integration is used to aggregate the independent classification outcomes. Examples from software engineering are used to demonstrate advantages of the proposed approach. As the guest editor I would like to thank all the authors contributing to this special issue and all the referees for their diligent work in reviewing the papers. Finally, I would like to thank Professor Didier Dubois for giving us this opportunity to publish the special issue and for his guidance and patience throughout the process. Guest Editor Kudret Demirli Fuzzy Systems Research Lab., Department of Mechanical and Industrial Engineering , Concordia University, 1455 de Maisonneuve Blvd. West, EV4.187, Montreal, Quebec, Canada H3G 1M8 E-mail address: [email protected].
0165-0114/$ - see front matter © 2008 Elsevier B.V. All rights reserved. doi:10.1016/j.fss.2008.03.016
Editorial
Selected papers from NAFIPS 2006, 2006 Annual Conference of the North American Fuzzy Information Processing Society This special issue contains five selected papers. These papers are the extended versions of the papers presented at NAFIPS 2006, 2006 Annual Conference of the North American Fuzzy Information Processing Society, held in Montreal, June 3–6, 2006. The conference featured over 130 papers and attracted participants from over 20 countries all over the world. The papers were presented in a total of 32 sessions, six of which were invited sessions. The promising work of student authors were recognized by giving awards to the five best papers presented by student authors. The first paper in the special issue is titled “On two qualitative approaches to tolerant inclusion operators” by P. Bosc and O. Pivert. This paper introduces two extensions to inclusion operator. The general idea advocated here is the tolerance for qualitative exceptions, which leads to the definition of a tolerant inclusion. The use of these approaches for database flexible querying serves is also discussed. The second paper which is titled “Adaptive Prototype Based Fuzzy Classification” by N. Cebron and M. R. Berthold is presented in an invited session titled “Recent Advances on Learning Approaches”. This paper explores the problem of classifying hundreds of thousands of cell assay images obtained by a high-throughput screening camera. A new adaptive active clustering scheme, based on an initial fuzzy c-means clustering and learning vector quantization, is proposed. This approach is especially useful in the field of bioinformatics. The third paper titled “Monotone Mamdani–Assilian models under mean of maxima defuzzification” by E. Van Broekhoven and B. De Baets has won the best student paper award at the conference. The paper deals with monotonicity of the output of Mamdani–Assilian models using trapezoidal membership functions, monotone rule base and Mean Of Maxima defuzzification method. The fourth paper is titled “Interval-valued probability in the analysis of problems containing a mixture of possibilistic, probabilistic, and interval uncertainty” by W.A. Lodwick and K.D. Jamison and it was presented in the invited session titled “Interrelation between Interval and fuzzy techniques”. Authors first construct interval-valued probability measures and then develop the extension of these measures in such a way that probability, possibility, clouds, and intervals fit within the context of interval-valued probability. The final paper is titled “Effective classification using feature selection and fuzzy integration” by N.J. Pizzi and W. Pedrycz. This paper presents a new methodology, which systematically addresses design classification issues. More specifically, a new approach for stochastic feature selection is introduced and fuzzy integration is used to aggregate the independent classification outcomes. Examples from software engineering are used to demonstrate advantages of the proposed approach. As the guest editor I would like to thank all the authors contributing to this special issue and all the referees for their diligent work in reviewing the papers. Finally, I would like to thank Professor Didier Dubois for giving us this opportunity to publish the special issue and for his guidance and patience throughout the process. Guest Editor Kudret Demirli Fuzzy Systems Research Lab., Department of Mechanical and Industrial Engineering , Concordia University, 1455 de Maisonneuve Blvd. West, EV4.187, Montreal, Quebec, Canada H3G 1M8 E-mail address: [email protected].
0165-0114/$ - see front matter © 2008 Elsevier B.V. All rights reserved. doi:10.1016/j.fss.2008.03.016