EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.98
Huynh Quang Minh, F. Nollet, N. Essounbouli, A. Hamzaoui
{"title":"Control of permanent magnet synchronous generator wind turbine for stand-alone system using fuzzy logic","authors":"Huynh Quang Minh, F. Nollet, N. Essounbouli, A. Hamzaoui","doi":"10.2991/eusflat.2011.98","DOIUrl":"https://doi.org/10.2991/eusflat.2011.98","url":null,"abstract":"In this paper, the control scheme of a wind energy conversion system for remote sites using fuzzy logic is presented. Two fuzzy controllers are proposed: the first one is dedicated to the maximum power point tracking (MPPT) of a variable speed permanent magnet synchronous generator wind turbine. The second fuzzy controller has the the objective to manage both the production and the storage of electricity for optimum performances of the system in respecting load demand. Several simulation results are given to show the effectiveness and the good performances of the proposed control structure.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804203","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.16
E. Turunen
{"title":"Axiomatic Extensions of Hohle's Monoidal Logic","authors":"E. Turunen","doi":"10.2991/eusflat.2011.16","DOIUrl":"https://doi.org/10.2991/eusflat.2011.16","url":null,"abstract":"We introduce an axiomatic extension of H¨ Monoidal Logic called Semi‐divisible Monoidal Logic, and prove that it is complete by showing that semi‐divisibility is preserved in MacNeille completion. Moreover, we introduce Strong semi‐ divisible Monoidal Logic and conjecture that a predicate formula is derivable in Strong Semi‐divisible Monadic logic if, and only if its double negation ¬¬ is derivable in Eukasiewicz logic.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123214866","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.137
J. V. Riera, J. Torrens
{"title":"Uninorms and nullnorms on the set of discrete fuzzy numbers","authors":"J. V. Riera, J. Torrens","doi":"10.2991/eusflat.2011.137","DOIUrl":"https://doi.org/10.2991/eusflat.2011.137","url":null,"abstract":"In this paper a method to extend discrete uninorms and nullnorms on the finite chain L = {0,...,n}, to uninorms and nullnorms defined on the set of discrete fuzzy numbers whose support is a set of consecutive natural numbers contained in L is presented. Some basic properties of discrete uninorms and nullnorms are preserved by this extension method and the structure of these kinds of aggregations is maintained too. Finally, we develop an application to obtain the group consensus opinion based on the extension of discrete uninorms and nullnorms.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126329330","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.83
P. Couto, Severiano R Silva, E. Tartas, Ana Santos, P. Melo-Pinto
{"title":"Fuzzy based subcutaneous fat assessment in real time ultrasound images","authors":"P. Couto, Severiano R Silva, E. Tartas, Ana Santos, P. Melo-Pinto","doi":"10.2991/eusflat.2011.83","DOIUrl":"https://doi.org/10.2991/eusflat.2011.83","url":null,"abstract":"The present work addresses the study of techniques of digital image processing based on fuzzy logic for subcutaneous fat (SF) estimation in real time ultrasound (RTU) images. The process for SF automatic estimation in RTU images is divided into two steps: the identification of the image area corresponding to the SF regions and, from these regions, the SF estimation. In order to deal with the ambiguity present in the gray levels of RTU images, fuzzy logic based methods are used. Experimental results are also presented.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116605063","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.48
L. Berrah, J. Montmain, V. Clivillé, G. Mauris
{"title":"Management decision-aiding with a fuzzy integral based Performance Measurement System","authors":"L. Berrah, J. Montmain, V. Clivillé, G. Mauris","doi":"10.2991/eusflat.2011.48","DOIUrl":"https://doi.org/10.2991/eusflat.2011.48","url":null,"abstract":"This article is a contribution to the decision-maker’s requirements to adapt resource allocation and define rewards according to the performance assessments at each milestone of an improvement action plan execution. Our approach is based on Performance Measurement Systems relating interacting elementary performance to the overall performance by a 2-additive Choquet integral aggregation. Performance improvement analysis for resource allocation and motivation management is based on the marginal contributions of each elementary performance to the overall performance which give useful information on the way the overall performance has been achieved and would be improved. The propositions are applied to the business turn-over performance improvement of a SME company manufacturing kitchens and bathrooms.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133707994","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.5
J. Kupka
{"title":"Dynamical properties in the space of fuzzy numbers","authors":"J. Kupka","doi":"10.2991/eusflat.2011.5","DOIUrl":"https://doi.org/10.2991/eusflat.2011.5","url":null,"abstract":"This paper is a contribution to the theoretical foundations of the theory of fuzzy dynamical systems. More precisely, we study relations between a given discrete dynamical system on the space X and its fuzzy counterpart Zadeh’s extension defined on the space of fuzzy sets on X . We provide a short discussion and a brief survey of some recent results devoted to various (especially chaotic) dynamical properties, a special attention is paid to fuzzifications on the space of fuzzy numbers, i.e., to fuzzy sets with connected α-cuts.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995847","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.81
Karima Sedki, P. Polet, F. Vanderhaegen
{"title":"Decision Analysis Using the Benefit-Cost-Deficit model","authors":"Karima Sedki, P. Polet, F. Vanderhaegen","doi":"10.2991/eusflat.2011.81","DOIUrl":"https://doi.org/10.2991/eusflat.2011.81","url":null,"abstract":"In this paper, we are interested in the decision analysis focusing on the Benefit-Cost-Deficit (BCD) model. The BCD model is proposed recently in order to analyse the intentional deviated users behaviour (prescribed behaviour crossing). This later is considered as a decision problem under risk where the consequences of users’ decisions can be evaluated following three attributes: the Benefit, the Cost and the Deficit. This paper proposes to consider the context of the decision, so we extend the BCD model by introducing different organizational and human factors that influence the users in their actions. This means that the deviation of users behaviour is not only related to their voluntary and intention but also to other factors, such as those of the organization of the system that has also some objectives to achieve as improving production and quality. To build the decision model based on the BCD approach, we propose a graphical representation using influence diagrams. The advantage of the proposed framework is to analyse the users’ decisions in terms of benefit or risk considering the context (as the organisational factors).","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134351117","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.45
A. V. D. Heide, D. Sánchez, G. Triviño
{"title":"Computational Models of Affect and Fuzzy Logic","authors":"A. V. D. Heide, D. Sánchez, G. Triviño","doi":"10.2991/eusflat.2011.45","DOIUrl":"https://doi.org/10.2991/eusflat.2011.45","url":null,"abstract":"In light of recent research and empirical findings a new view on emotion and affect has surfaced. Within this view ‘feeling’ (core affect) is separated from ‘emotion’ (psychological construction). This model appears to be a good candidate for a computation model of affect and emotion. We argue that fuzzy logic is the perfect tool for its implementation, for the modeling of core affect dynamics, the linguistic description of emotions, the description of a cognitive rule base, as well as the mapping between the core affect level and the cognitive level.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114293921","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.56
N. Mikaeilvand, S. Khakrangin, T. Allahviranloo
{"title":"Solving fuzzy Volterra integro-differential equation by fuzzy differential transform method","authors":"N. Mikaeilvand, S. Khakrangin, T. Allahviranloo","doi":"10.2991/eusflat.2011.56","DOIUrl":"https://doi.org/10.2991/eusflat.2011.56","url":null,"abstract":"In this study, differential transform method (DTM) is applied to fuzzy integro-differential equation. The concept of generalized Hdifferentiability is used. If the equation has a solution in terms of the series expansion of known functions; this powerful method catches the exact solution. Some numerical examples are also given to illustrate the superiority of the method. All rights reserved.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068664","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}
EUSFLAT Conf.Pub Date : 2011-08-06DOI: 10.2991/eusflat.2011.147
Javier Murillo, S. Guillaume, E. Tapia, P. Bulacio
{"title":"On the convergence of HLMS Algorithm","authors":"Javier Murillo, S. Guillaume, E. Tapia, P. Bulacio","doi":"10.2991/eusflat.2011.147","DOIUrl":"https://doi.org/10.2991/eusflat.2011.147","url":null,"abstract":"In multicriteria decision making, the study of attribute contributions is crucial to attain correct decisions. Fuzzy measures allow a complete description of the joint behavior of attribute subsets. However, the determination of fuzzy measures is often hard. A common way to identify fuzzy measures is HLMS (Heuristic Least Mean Squares) algorithm. In this paper, the convergence of the HLMS algorithm is analyzed. First, we show that the learning rate parameter ( ) dominates the convergence of HLMS. Second, we provide an upper bound for that guarantees HLMS convergence. In addition, a toy example shows the descriptive power of fuzzy measures versus the poverty of individual measures.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124185707","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}