http://hdl.handle.net/2099/3539 Fri, 24 May 2013 07:40:53 GMT 2013-05-24T07:40:53Z webmaster.bupc@upc.edu Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació no http://hdl.handle.net/2099/3669 Title: A short note on lattices allowing disjunctive reasoning Authors: Trillas i Gay, Enric; Renedo, Eloy; Alsina Català, Claudi Abstract: This short note shows that the scheme of disjunctive reasoning, a or b, not b : a, does not hold neither in proper ortholattices nor in proper de Morgan algebras. In both cases the scheme, once translated into the inequality b' · (a+b) ≤ a, forces the structure to be a boolean algebra. Sun, 01 Jan 2006 00:00:00 GMT http://hdl.handle.net/2099/3669 2006-01-01T00:00:00Z Trillas i Gay, Enric; Renedo, Eloy; Alsina Català, Claudi no Disjunctive reasoning, Ortholattices, De Morgan algebras, Boolean algebras This short note shows that the scheme of disjunctive reasoning, a or b, not b : a, does not hold neither in proper ortholattices nor in proper de Morgan algebras. In both cases the scheme, once translated into the inequality b' · (a+b) ≤ a, forces the structure to be a boolean algebra. http://hdl.handle.net/2099/3668 Title: Fuzzy neural network approach to fuzzy polynomial Authors: Abbasbandy, Saeid; Otadi, M Abstract: In this paper, an architecture of fuzzy neural networks is proposed to find a real root of a dual fuzzy polynomial (if exists) by introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights. According to fuzzy arithmetic, dual fuzzy polynomials can not be replaced by a fuzzy polynomials, directly. Finally, we illustrate our approach by numerical examples. Sun, 01 Jan 2006 00:00:00 GMT http://hdl.handle.net/2099/3668 2006-01-01T00:00:00Z Abbasbandy, Saeid; Otadi, M no Fuzzy neural networks, Fuzzy polynomials In this paper, an architecture of fuzzy neural networks is proposed to find a real root of a dual fuzzy polynomial (if exists) by introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights. According to fuzzy arithmetic, dual fuzzy polynomials can not be replaced by a fuzzy polynomials, directly. Finally, we illustrate our approach by numerical examples. http://hdl.handle.net/2099/3667 Title: A fuzzy-evolutionary seller agent for an automatic negotiation framework on e-commerce Authors: Manjacavas Ortíz, Ramón; Castro Sánchez, José Jesús; Moreno García, Juan Abstract: The business achievement via e-commerce is getting more important at the present time. E-commerce implies several activities. One of the most significant activity is the consummation of negotiations between sellers and buyers with the aim of reaching agreements. In order to automate these activities the intelligent agent software model is applied. In this work, it is proposed the design of a seller agent for negotiating in competitive frameworks, where many seller agents and a buyer agent negotiate products or services based on several properties. In that context, the aim of the seller agent will be to make offers that improve the other ones sent by other sellers and to maximize its profit. The design is based on the application of fuzzy logic and evolutional algorithms. Sun, 01 Jan 2006 00:00:00 GMT http://hdl.handle.net/2099/3667 2006-01-01T00:00:00Z Manjacavas Ortíz, Ramón; Castro Sánchez, José Jesús; Moreno García, Juan no Seller agent, E-commerce, Fuzzy logic, Evolutional algorithms The business achievement via e-commerce is getting more important at the present time. E-commerce implies several activities. One of the most significant activity is the consummation of negotiations between sellers and buyers with the aim of reaching agreements. In order to automate these activities the intelligent agent software model is applied. In this work, it is proposed the design of a seller agent for negotiating in competitive frameworks, where many seller agents and a buyer agent negotiate products or services based on several properties. In that context, the aim of the seller agent will be to make offers that improve the other ones sent by other sellers and to maximize its profit. The design is based on the application of fuzzy logic and evolutional algorithms. http://hdl.handle.net/2099/3666 Title: Evolutionaty training for dynamical recurrent neural networks: an application in finantial time series prediction Authors: Delgado Calvo-Flores, Miguel; Pegalajar Jiménez, Mª Carmen; Pegalajar Cuéllar, Manuel Abstract: Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve this problem, most of them being based on heuristic procedures. In this paper, the training capabilities of evolutionary techniques are studied, for Dynamical Recurrent Neural Networks. The performance of the models considered is compared in the experimental section, in real finantial time series prediction problems. Sun, 01 Jan 2006 00:00:00 GMT http://hdl.handle.net/2099/3666 2006-01-01T00:00:00Z Delgado Calvo-Flores, Miguel; Pegalajar Jiménez, Mª Carmen; Pegalajar Cuéllar, Manuel no Recurrent neural networks, Evolutionary algorithms, Time series prediction Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve this problem, most of them being based on heuristic procedures. In this paper, the training capabilities of evolutionary techniques are studied, for Dynamical Recurrent Neural Networks. The performance of the models considered is compared in the experimental section, in real finantial time series prediction problems.