{"title":"On a Class of Continuous Triangular Norms","authors":"J. Fodor, I. Rudas","doi":"10.1109/SOFA.2007.4318306","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318306","url":null,"abstract":"In this paper we completely describe all continuous migrative triangular norms. Since the migrative property excludes both idempotent and nilpotent classes, the characterization and construction is carried out by solving a functional equation for additive generators of strict t-norms. We also study cases when the construction results in a smooth generator.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127661170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A FAM-based Agent for a Ball and Beam","authors":"G. Drayer, M. Strefezza","doi":"10.1109/SOFA.2007.4318311","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318311","url":null,"abstract":"This paper presents a reactive agent built under the Subsumption Architecture, which purpose is to control a Ball and Beam system. The architecture of the agent is implemented making use of a fuzzy associative memory (FAM) and feedback control laws. The FAM is used to address the action selection problem known for this architecture. The FAM defines different fuzzy conditions. These conditions are associated to feedback control laws. The integrated control signal is obtained by defuzzifying the FAM through the weighted average technique. The time-response of the agent is simulated on a model of the Ball and Beam system and validated with an implementation at the laboratory. The results show the behavior of the variables of the system and the dynamic characteristics of the agent. The control signals stay active at every moment and the FAM allows smooth transitions between them, depending on the fuzzy condition of the system.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131064656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy Logic Supported Frequency Range Estimation for Adaptive Fourier Analysis","authors":"A. Várkonyi-Kóczy","doi":"10.14864/SOFTSCIS.2006.0.1026.0","DOIUrl":"https://doi.org/10.14864/SOFTSCIS.2006.0.1026.0","url":null,"abstract":"Adaptive Fourier analyzers have been developed for measuring periodic signals with unknown or changing fundamental frequency. Typical applications are vibration measurements and active noise control related to rotating machinery and calibration equipment that can avoid the changes of the line frequency by adaptation. Higher frequency applications have limitations since the computational complexity of these analyzers are relatively high as the number of harmonic components to be measured (or suppressed) is usually above SO. Recently, a fast-filter bank structure has been proposed for adaptive Fourier analysis based on the combination of the concept of transform domain signal processing and the adaptation of a simple linear combiner. It results in the reduction of the above computational complexity, however for the correct use we have to have pre-estimation about the range of the fundamental frequency (or frequencies) to be able to set the applied single-input multiple-output filter-banks, which in many cases causes significant and possibly non-tolerable delay in the operation. In this paper a new fuzzy logic supported frequency range estimation procedure is proposed which makes possible to execute the frequency estimation in the first half of the period of the unknown signal, i.e. the adaptation and Fourier Analysis can be performed without any delay.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123307617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Constantinescu, C. Strîmbu, M. Pearsica, L. Miron
{"title":"A Method for Periodical Phenomena Analysis","authors":"G. Constantinescu, C. Strîmbu, M. Pearsica, L. Miron","doi":"10.1109/SOFA.2007.4318319","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318319","url":null,"abstract":"This paper is proposing a statistical method, useful for analyzing periodical phenomena whose equations are impossible to be solved analytically. The input data consist in a collection of tabled functions, (numerically determined), named further database. Least square method based algorithms, presented in the first part of the paper, are applied to this database. First, a trigonometric regression algorithm will find the approximating Fourier coefficients. Finally a multiple regression algorithm to fit a polynomial type function is introduced. Its input data are the Fourier coefficients, the Fourier analysis results, or whatever collection of experimental data corresponding to a set of variables. The final part of the paper is dedicated to an example, illustrative for these.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"655 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126915955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of a Fuzzy Model to Classify the Listed Issuers at the Bucharest Stock Exchange","authors":"P. Farcas, D. Manațe, R. Moleriu","doi":"10.1109/SOFA.2007.4318324","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318324","url":null,"abstract":"In order to determine some specific economic characteristics that are associated to the size of the companies that are listed and traded on the Bucharest Stock Exchange, it is necessary to classify the companies based on the market capitalization, liquidity and the traded volumes. This paper aims to make a comparative study among the parameters of the classes obtained by a break up into disjunctive classes and a break up using a fuzzy model.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131971295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Representing Fuzzy Sets in the Hypercube Part II: Developments in the Life Sciences","authors":"J. Limberg, R. Seising","doi":"10.1109/SOFA.2007.4318308","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318308","url":null,"abstract":"In this paper we provide an insight into fuzzy sets as points in the hypercube. This approach to geometry of fuzzy sets was first published by Bart Kosko in the 1980s. After a brief survey we show two applications of this theory in life sciences: fuzzy diseases and fuzzy genomes. This historical and analytical contribution to the 2nd IEEE Workshop on Soft Computing Applications is a sequel to the paper \"Representing fuzzy sets in the hypercube. part I: a historical note\".","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating Agent-Oriented Software Engineering Methodologies","authors":"F. Parandoosh","doi":"10.1109/SOFA.2007.4318323","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318323","url":null,"abstract":"In the past couple of decades, agent-oriented technology has been arisen in order to assist in developing intelligent software that is able to solve challenging problems. Numerous methodologies for developing agent-based systems have been proposed in the literature and the area of agent-oriented methodologies is maturing rapidly. Evaluating methodologies' strengths, weaknesses and domains of applicability plays an important role in improving them and in developing the \"next-generation\" of methodologies. In this paper, we present a reliable framework that adopts statistical techniques to compare agent-oriented methodologies. Based upon this framework we performed a comparison of four AOSE methodologies MaSE, Prometheus, Tropos and Gaia.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115096262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effective Deinterlacing Using Selective Spatial-Temporal Interpolation","authors":"K. Won, Kwon Lee, Chulhee Lee","doi":"10.1109/SOFA.2007.4318298","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318298","url":null,"abstract":"In this paper, we propose a new deinterlacing algorithm, which selectively uses spatial and temporal interpolations. Conventional deinterlacing methods tend to yield undesired results in horizontal edges and high frequency areas. To address these problems, the proposed method uses different interpolation methods based on motion types. We first apply motion estimation and intrafield interpolation in the spatial domain. Second, a new interfield interpolation technique is performed. Finally, we selectively apply motion-compensation deinterlacing or repeat the new interfield interpolation technique. Experimental results show that the proposed algorithm provides noticeably improved performance compared to existing deinterlacing algorithms.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Neuro-Fuzzy System for Intelligent Course Control of Underactuated Conventional Ships","authors":"Viorel Nicolau","doi":"10.1109/SOFA.2007.4318312","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318312","url":null,"abstract":"In general, conventional ships have mono-variable autopilot, which controls the heading of the ship affected by perturbations, in course-keeping or course-changing maneuvers. It takes into account only the yaw angle and ignores the roll movements. Intelligent control systems can be designed, considering the ship as 2 DOF underactuated system, with yaw angle and roll angle as outputs, and rudder as control input. A neuro-fuzzy system is proposed, which modifies the autopilot commands, so that roll damping effects and heading performance to be obtained simultaneously, with small rudder angle and rudder rate values. The system can be used with any conventional autopilot with slow steering machine.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115242734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Sztojanov, Vasilica Voinea, Catalina Popescu-Mina
{"title":"Image Processing for Classification in Biology Systems","authors":"I. Sztojanov, Vasilica Voinea, Catalina Popescu-Mina","doi":"10.1109/SOFA.2007.4318301","DOIUrl":"https://doi.org/10.1109/SOFA.2007.4318301","url":null,"abstract":"The article discusses problems of classification based on the fractal theory with applications in biology. Here are introduced the necessary notions for defining and quantitative evaluation of fractals and an algorithm for fractal dimension computation based on biofractal contours processing is also proposed/ presented. The actual application is dedicated to the analyse the particularities of some species from Gentianaceae family, with the purpose of establishing their affiliation to the Gentina genus, knowing the fact that, up to the present, there had been used only evaluations based on the distinctive morphological characteristics. The results are encouraging for the development of fractal techniques not only in botanic, but in other biology domains.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126072575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}