Aspectos a considerar en la construcción de un sistema experto para evaluaciónde calidad ambiental
Palabras clave:
Sistemas Expertos, Calidad Ambiental, Informática Ambiental, sistema de expertos, contaminaciónResumen
En este trabajo se presenta un análisis de los aspectos a considerar en el diseño de una metodología para el desa-rrollo de un Sistema Experto para Evaluación de Calidad Ambiental. Existen diferentes modelos de análisis de calidad ambiental, pero hay que destacar que la mayoría de estos métodos fueron elaborados para proyectos concretos, lo que deriva en que una generalización sea complicada. Para modelar la arquitectura del sistema computacional, deben te-nerse presente variables que la técnica ERFCA maneja. Estas variables deben ser representadas por datos estructura-dos de manera significativa, deben ser fácilmente utilizables e integrables en el proceso de estudio, deben ser fáciles de obtener, que permitan de manera precisa modelar el funcionamiento de la técnica y con un alto grado de fiabilidad. De la interacción de los sistemas ambientales y los sistemas computacionales surge la informática ambiental que inte-gra las tecnologías de información y la sustentabilidad ambiental contribuyendo a la conservación del medioambiente, generando nuevo conocimiento y fomentando la difusión y divulgación del conocimiento científico favoreciendo un cambio en los hábitos y comportamientos de los ciudadanos en beneficio de nuestro entorno.
Referencias
Abacoumkin, C., y Ballis, A. (2004). Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area. European Journal of Operational Research , 152,410-419.
Abel, M., Silva, A., Ros, L., Mastella, L., y Campbell, J. (2004). PetroGrapher: managing petrgraphic data and knowledge using an intelligent database application. Ex-pert Systems with Application , 26, 918.
Abidi, S., y Manickam, S. (2002). Leveraging XML-based electronic medical records to extract experiential clinical knowledge. International Journal of Medical Infornatics., 68,187-203.
Acosta, G., Gonzalez, C., y Pulido, B. (2001). Basic tasks for knowledge-based supervision in process control. Enginnering Applications of Artificial Intelligence , 14,441-455.
Aldea, A., Banares-Alcantara, R., Jimenez, L., Moreno, A., Martinez, J., y Riano, D. (2004). The scoipe of applica-tion of multi-agent Systems in the process industry: three case studies. Expert Systems with Applications , 26,39-47.
Alibaba, H., y Ozdeniz, M. (2004). A building elements selection system for architects. Building and Environ-ment , 39,307-316.
Alonso, F., Fuertes, J., Martinez, L., y Montes, C. (2000). An icremental solution for developing knowledge-base software: its applicaion to an expets system for isoki-netics interpretation. Expert Systems witch applications , 18,164-184.
Ambiental, F. F. (2000). Perfil Profesional del respon-sable del Medioambiente. Obtenido de Fundacio foruma-mbiental: www.forumambiental.org
Arnold, M., y Osorio, F. (1998). Introducción a los conceptos básicos de la teoría general de sistemas. Ob-tenido de www.moebio.uchile.cl/03/frprinci.htm
Association for Computing Machinery, I. (2012). The ACM Computing Classification System. Publications Dept., ACM, Inc. , http://www.acm.org/about/class/ccs98-html.
Baeza, J., Ferreira, E., y Laufuente, J. (2000). knowledge-based supervision and control of wastewater treatment plant: a real-time implementacion. Water Sience and Technology , 41,129-137.
Barla Galván, R. (s.f.). Un diccionario para la educa-ción ambiental. Obtenido de http://www.elcastellano.org/ glosario_ambiental.pdf
Barrera-Cortes, J., Astruc, J., y Tufeu, R. (2001). knowledge base specification to automate the fluid critical point of fluid. Applied artificial Intelligence , 15,453-470.
Benson, S., y Asgapoor, S. (2000). A fuzzy expert sys-tem for evaluation of demand-side management alterna-tives. Electronic Machines and power Systems , 28,749-760.
Bochsler, D. C. (1988). A Project Managment Ap-proach to Expert System Applications. ISA 88 , 1458-1466, 1988.
Boegl, K., Adlassnig, k., Hayashi, Y., Rothenfluh, T., y Leitich, H. (2004). Knowledge acquisition in the fuzzy knowledge representation framework of a medical consu-lation system. Artificial Intelligence in Medicine , 30,1-26. Bontre, A., Ors, R., y Peris, M. (2004). Advanced auto-mation of a flow injection analysis system for quality con-trol of olive oil through the use of a distributed expert sys-
tem. Analytica Chinica Acta , 506, 189-195.
Bourbakis, N., Mogzadeh, a., Mertoguno, S., y Koutsougeras, C. (2002). A Knowledge-based expert sys-tem for automatic visual VLSI reverse -engineering:VLSI layout version. IEEE Transactions on Systems,Man,and Cybernetics-Part A:Systems and Humans , 32,428-437.
Carrasco, E., Rodriguez, J., Punal, A., Roca, E., y Le-ma, J. (2004). Diagnosis of acidification states in an anaer-obic wastewater yreatment olant using a fuzzy-based sys-tem. Control Engineering Practice , 12,59-64.
Chau, K., y Albermani, F. (2004). Hybrid knowledge representation in a blackboard KBS for liquid retaning structure design. Engineering Application of artificial In-telligence , 17,11-18.
Cheung, Y., Hong, G., y Ang, K. (2004). A dynamic project allocation algorithm for a distributed expert system. Expert Systems with Applications , 26,225-232.
Cohen, Y., y Shoshany, M. (2002). A national knowledge-based crop recognition in Mediterranean envi-ronment. International Journal of Applied Eart Observa-tion , 4,75-87.
Croce, F. D., Fazzini, P., Massucco, S., Morini, A., Silvestro, F., y Sivieri, M. (2001). Operation and Manag-ment of the electronic system for industrial plants: an ex-pert system prototype for load-scheduling operator assis-tance. IEEE Transaction on Industry Applications , 37, 701 -708.
Cruces, A., Arriaga, y Arriaga, F. (2000). Reactive agent design for intelligent tutoring systems. Cybernetics and Systems: an International Journal , 31, 1-47.
Dash, P., Mishra, S., Salama, M., y Liew, A. (2000). Classification of power system disturbances using a fuzzy expert system and a fourier linear combiner. IEEE Trans-actions on power Delivery , 15,472-477.
Davis, M. L., y Masten, S. J. (2004). Principles of En-viromental Engineering Science (3a. Edición ed.). ISBN: 0
-07-235053-9: Mc Graw Hill.
Depradine, C. (2003). Expert system for extracting syntactic information from Java code. Expert Systems with Applications , 25,187-198.
Drigs, A., Kouremenos, S., Vrettos, S., y Kouremenos,
D. (2004). An expert system for job matching of the un-emplyed. Expert Systems with Applications , 26,217-224.
Edrees, S., Rafea, A., Fathy, I., y Yahia, M. (2003). Neper: a multiple strategy wheat expèrt system. Computers and Electronics in Agriculture , 40,27-43.
El- Shal, S., y Morris, A. (2000). A fuzzy system for fault detection in statiscal process control of industrial pro-cess. IEEE Transactions on Systems, Man, and Cybernet-ics-Part C: Applocations and Reviews, , 30,281-292.
Fernández-Vitora, C. (2010). Guía metodológica para la evaluación del impacto ambiental. Madrid, España: Mundi-Prensa ISBN:978-84-8476-384-0.
Filis, I., Sabrakos, M., Yialouris, C., Sideridis, A., y Mahaman, B. (2003). GEDAS: an integrated geographical expert database system. Expert Systems with Applica-tions , 24,25-34.
Frantti, T., y Kallio, S. (2004). Expert system for ges-ture recognition in terminal's user interface. Expert Sys-tems with Applications , 26,189-202.
Fu, Y., y Shen, R. (2004). GA based CBR approach in QyA system. Expert Systems with Applications , 26,167-170.
Galindo Leal, C., y Cárdenas, L. (2012). Biodiversidad Mexicana. Recuperado el 12 de 01 de 2014, de Comisión Nacional para el Conocimiento y Uso de la Biodiversidad: http://www.biodiversidad.gob.mx/ecosistemas/quees.html
Gardan, N., y Gardan, Y. (2003). An application of knowledge based modeling using scripts. Expert systems with Applications , 25,555-568.
Giarratano, J., y Riley, G. (2001). Sistemas Expertos. Principios y programación. México: International Thomson Editores.
Gjerdrum, J., Shah, N., y Papageorgiou, L. (2001). A combined optimization and agent-based approachto supply chain modeling and performance assessment. Production Planning and Control , 12, 81-88.
Gómez Orea, D. (2002). Evaluación de Impacto Am-biental. Madrid, España: Grupo Mundi-Prensa ISBN:84-8476-084-7.
Gomolka, Z., y Orlowski, C. (2000). Knowledge man-agement in creating hybrid systems for environmental pro-tection. Cybernetics and Systems An Intertional Journal , 31,507-529.
Gruer, P., Hilaire, V., Koukam, A., y Cetnarowicz, K. (2002). A formal framework for multi-agent systems anal-ysis and design. Expert Systems with Applications , 23,349-355.
Hatzilygeroudis, J., y Prentzas, J. (2004). Integrating (rules,neural networks)and cases for knowledge represen-tation and reasoning in expert systems. Expert Systems with Applications , 26,63-75.
HatzilygeroudisJ, y J, P. (2004). Using a hybrid rule-based approach in developing an intelligent tutoring sys-tem with knowledge acqusition and update capabilities. Expert Systems with , 26,477-492.
Hernández Muñoz, A., Hernández Lehman, P., y Gor-dillo Martínez, A. J. (2006). Manual para la evaluación de impactos ambientales. Madrid, España: INNCIVE, Inno-vación Civil Española, S.L.
Islam, S., y Chowdhury, N. (2001). A case-based Win-dows graphic package for the education and trainig of power system restoration. IEEE Transaction on Power Systems , 16,181-192.
Jarmulak, J., Kerckhoffs, E., y Veen, P. (2001). Case-based reasoning for interpretation of data from non-destructive testing. Engineering Application of Artificial Inteligence , 14,401-417.
Juuso, E. (2004). Integration of intelligent systems in development of smart adaptive systems. International Jour-nal of Approximate reasoning , 35,307-337.
Knauf, R., Gonzalez, A., y Abel, T. (2002). A frame-work for validation of rule-based systems. IEEE Transac-tions on Systems,Man,and Cybernetics-Part B:Cybernetics , 32,281-291.
Lababidi, H., y Baker, C. (2003). Web-based expert system for food dryer selection. Computer and chemical Engineering , 27,997-1009.
Lee, H., Park, D., Ahn, B., Park, Y., Park, J., y Venka-ta, S. (2000). A fuzzy expert system for the integrated fault diagnosis. IEEE ´transactions on Power Delivery , 15,833-845.
Leff, E. (2003). La complejidad ambiental. México: Siglo veintiuno editores.
Leung, D., y Romagnoli, J. (2000). Dynamic probabil-istic model-based expert system for fault diagnosis. Com-puters and Chemical Engineering , 24, 2473-2492.
Leung, R., Lau, H., y Kwong, C. (2003). An expert system to support the optimization of ion plating process: an OLAP-based fyzzy-cum-GA approach.
Li, W., Tasi, Y., Tasi, y Chiu, C. (2004). The experi-mental study of the expert system for diagnosing unbalance by ANN and acoustic signals. Journal of sound and Vibration , 272,69-83.
Liao, S. (2001). A knowledge-based architecture for implementing military geographical intelligence system on Intranet. Expert Systems with Applications , 20,313-324.
Liao, T. (2003). Classification of welding flaw types with fuzzy expert Systems. Expert systems with Aplica-tions , 25,101-111.
Liau, L., Yang, C., y Tasi, M. (2004). Expert system of a crude oil distillation unit for process optimization using neural netwoks. Expert Systems with Aplications , 26,247-255.
Liu, Y., y Schulz, N. (2002). Knowledge-based system for distribution system outage locating using comprehen-sive information. IEEE Transactions on Power Systems , 17,451-456.
Lopez, M., Flores, C., y Garcia, E. (2003). An intelli-gent tutoring system for turbine of electrical power plant operators. Expert Systems with Applications , 24,95-101.
Mahabir, C., Hicks, F., y FayeK, A. (2003). Applica-tion of fuzzylogic to forecast seasonl runoff. Hydrological Processes , 17,3749-3762.
Mahaman, B., Passam, H., y Sideridis, A. (2002). A diasnostic expert system for honeybe peets. Computers and Electronics in Agriculture , 36,17-31.
Mahaman, B., Passam, H., Sideridis, A., y Yialouris, C. (2003). DIARES-IPM: a diagnostic advosory rule-based expert system for integrated pest management in Solana-ceous crop Systems. Agricultural Systems , 76,1119-1135.
Martin, C. (2007). El desarrollo urbano, las empresas y el ambiente.
Martin-Baramera, M., Sancho, J., y Sanz, F. (2000). Controlling for change agreement in the validation of med-ical expert systems with no gold standard PNEUMON-IA and PENOIR. Computers and Biomedical Research , 33,380-397.
Martinez-Bejar, R., Ibanez-Cruz, F., Compton, P., y Cao, T. (2001). an easy-maintenance, rusable approach for building knowledge-based systems: application to land-scape assessment. Expert Systems with Applications , 20,153-162.
Meesad, P., y Yeen, G. (2003). Combined numerical-linguisticknowleddge representation and its applicatio on to medical giagnosis. IEEE Transactions on Systems, Man, and Cybernetics- Part A: Systems and Humans , 33,206-222.
Mills, ,. K., y Goman, H. (2002). knowledge-based automation of a desing method for concurrent systems. IEEE Transactions on Software Engineering , 28,228-255. Mockler, R., Dologite, D., y Gartenfeld, M. (2000). talk with the experts: learning management decision-making using CAI. Cybernetics and systems : An International Journal , 31,431-464.
Montani, S., y Bellazzi, R. (2002). Supporting deci-sions in medical applications: the knowledge management perspective. International Journal of Medical Informatics , 68,79-90.
Morrison, M., McCliggage, W., Price, G., Diamond, J., Sheeran, M., y Mulholland, K. (2002). Expert system sup-port using a Bayesian balief network for the classification of endometrial hyperplasia. Journal of pathology. , 197,403 -414.
Ngai, E., y Wat, F. (2003). Design and development of a fuzzy expert system for hotel selection. Omega , 275-286.
Nilsson, N. J. (2001). Artificial Intelligence: A new synthesis. Stanford University: Mc Graw Hill.
Noh, J., Lee, K., Kim, J., Lee, J., y Kim, S. (2000). A
case-based reasonig approach to cognitive map-driven tacit knowledge management. Expert Systems with Applica-tions. , 19,249-259.
Orduna, E., Garces, F., y Handshschin, E. (2003). Al-gorithmic-knowledge-based adaptive coordination in trans-mission protection. IEEE Transactions on Power Delivery , 18,61-70.
Padilla-Medina, J., y Sanchez-Marin, J. (2004). An adaptive fuzzy expert system to evaluate human visual performance. Fuzzy sets and systems , 142,321-334.
Pino Diez, R., y Gomez Gomez, A. (2001). Introduc-ción a la Inteligencia Artificial: Sistemas Expertos, Redes Neuronales y Computación Evolutiva. Universidad de Oviedo.
Plant, R., y Vayssieres, M. P. (2000). Combining ex-pert system and GIS technology to implement a state-transition model of oak woodlands. Computer and Electro-nics in Agriculture , 27, 71-93.
Punal, A., Rodriguez, J., Franco, A., Carrasco, E., Ro-ca, E., y Lema, J. (2001). Advanced monitoring and con-trol of anaerobic wastewater treatment plants: diagnosis and supervision by a fuzzy-based expert system. Water Science and Technology , 43,191-198.
Qian, Y., Li, X., Jiang, Y., y Wen, Y. (2003). An ex-pert system for real time fault diagnosis of complex chemi-cal processes. Expert Systems with Applications , 24,425-432.
Reidsema, C., y Szczerbicki, E. (2001). A blackboard database model of the design planning process in concur-rent engineering. Cybernetics and Systems:An Internatio-nal Journal , 32,755-774.
REMIDEC. (2008). Red Mexicana de Investigación y Desarrollo en México. Obtenido de http:// turing.iimas.unam.mx/~remidec/manifiesto/adhman.php
Reznik, L., y Dabke, K. (2004). Measurement models: application of intelligent methods. Measurement , 35,47-58.
Ruiz-Sanchez, J., Valencia-Garcia, R., Fernandez-Breis, T., Martinez-Bejar, R., y Compton, P. (2003). An approah for incremental knowledge acquisition from text. Expert Systems with Applications , 25, 77-86.
Saunders, S., Pascoe, S., Johnson, A., Pilling, M., y Jenkin, M. (2003). Development and preliminary test re-sults of expert system for isms. Atmospheric Envirorunet , 37,1723-1735.
Sen, M., Minambres, J., Garrido, A., Almansa, A., y Soto, J. (2004). Basic theoretical results for expert sys-tems,application to the supervision of adaption transients in planar robots. Artificial intelligence , 152,173-211.
Serna Arenas, A. (2010). Línea del tiempo de las cien-cias computacionales. Revista Digital Lámpsakos , 86-94.
Shaalan, K., EI-Badry, M., y Rafea, A. (2004a). A mul-tiagent approach for diagnostic expert systems via the in-ternet . Expert Systems with Applications , 27,1-10.
Shaalan, K., Rizk, M., Abdelhanid, Y., y Bahgat, R. (2004b). An expert system for the best weight distribution on ferryboats. Expert systems with applications , 26,397-411.
Shu, C., y Burn, D. (2004). Homogeneous pooling group delineation for flood frecuency analysis using a fuzzy expert system with genetic enhancement. Journal of Hydrology , 291,132-149.
Soh, L., Tsatsoulis, C., Gineris, D., y Bertoia, C. (2004). ARKTOS: An intelligent system for SAR sea ice image classification. IEEE Transactions on Geoscience and and Remote Sensing , 42,229-248.
Sommerville, I. (2005). Ingeniería de Software. Pear-son Adisson Wesley.
Thomson, A., y Willoughby, I. (2004). A web-based expert system for advising on herbicide use in Great Brit-ain. Computers and Electrinic in Agriculture , 42,43-49.
Tunez, S., Aguila, I., y Marin, R. (2001). An expertise model for therapy planning using abductive reasoning. Cybernetics and Systems: An International Journal , 32,829-849.
Valenzuela, L., Bentley, J., y Lorenz, R. (2004). Expert system for integrated control and supervision of dry-end section of paper machines. IEEE Transactions on Industry Aplications , 133,87-101.
Vegh, J. (2003). The 'carbon aontamination' rule set implemented in an 'embedded expert system'. Journal of Electron Spectroscopy and Related Phenomena , 133,87-101.
Wang, X., Qu, H., Liu, P., y Cheng, y. (2004). A self-learning ezpert system for diagnosis in traditional Chinese medicine. Expert system with Applications , 26,557-566.
Wasiewicz, P., Mulawka, J. J., y Plucienniczak, A. (2000). The inference based on molecular computing. Cy-bernetics and Systems. An International Journal , 31, 283-315.
Wong, S., y Hamouda, A. (2002). A fuzzy logic based expert system for machinability data-on-demandon the internet. Journal of Materials Processing Technology , 124,57-66.
Wong, S., y Hamouda, A. (2003). The development of an online knowledge-based expert system for machinabil-ity data selection. Knowledge-based systems , 16,215-229.
Xirogiannis, G., Stefanou, J., y Glykas, M. (2004). A fuzzy cognitive map approach to support urban design. Expert Systems with Applications , 26,257-268.
Yan, H., Jiang, Y., Zheng, J., Fu, B., Xiao, S., y Peng,
C. (2004). The internet-based knowledge acquisition and management method to construct large-scale distributed medical expert system. Computer Methods and Programs in Biomedicine , 74,1-10.
Yang, B., Han, T., kim, Y., Yu, R., B, I., y H, P. (2004). Integration of ART-Kohoene neural network and case-based reasoning for intelligente fault diagnosis. Enginnering Aplications of artificial intelligence , 16,321-333.
Yu, R., Iung, B., y Panetto, H. (2003). A multi-agents based E-maintenance system with case-based reasoning decision support. Engineering Applications of Artificial Intelligence, Expert Systems with Applications , 16,321- 333, 26,387-395.
Zha, X., y Lim, S. (2000). Assembly/disassembly task planning and simulation using expert Petri nets. Interna-tional Journal of Production Research , 15,3639-3676.
Zhou, Q., Huang, G., y Chan, C. (2004). Development of an intelligent decision support system for air pollution control at coal-fired power plants. Expert Systems with Applications , 26,335-356.
Descargas
Publicado
Declaración de disponibilidad de datos
No
Número
Sección
Categorías
Licencia
Derechos de autor 2026 Erika Alarcón, René Bernardo Elías Cabrera, Julio César Rolón, Elena María Otazo, Ricardo Pérez-Avilés, Salvador W (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.
Declaración de acceso abierto conforme a la definición de DOAJ
“Acceso Abierto” es un término general que abarca tanto el Acceso Abierto Gratis como el Libre. Para DOAJ, el acceso abierto es sólo cuando el contenido digital está disponible gratuitamente en línea y los derechos de usuario y los términos de derechos de autor están definidos.
Todos los textos publicados por Tlamati –sin excepción– se distribuyen amparados bajo la licencia Creative Commons 4.0
Los autores/as pueden realizar otros acuerdos contractuales independientes y adicionales para la distribución no exclusiva de la versión del artículo publicado en Tlamati (por ejemplo, incluirlo en un repositorio institucional o publicarlo en un libro) siempre que indiquen claramente que el trabajo se publicó por primera vez en Tlamati.
Este es un resumen legible por humanos de (y no un sustituto) de la licencia
Usted es libre de:
- Compartir
- Leer
- Descargar
- Traducir
- Copiar
- Distribuir
- Imprimir
- Buscar o enlazar los textos completos de los artículos
- Rastrearlos para indexarlos
- Pasarlos como datos a un software o
- Utilizarlos para cualquier otro fin lícito, en cualquier medio o formato
Terminos de la licencia https://creativecommons.org/licenses/by-sa/4.0/deed.es
Usted es libre de:
- Compartir — copiar y redistribuir el material en cualquier medio o formato para cualquier propósito, incluso comercialmente.
- Adaptar — remezclar, transformar y construir a partir del material para cualquier propósito, incluso comercialmente.
- La licenciante no puede revocar estas libertades en tanto usted siga los términos de la licencia
Bajo los siguientes términos:
-
-
- Atribución — Usted debe dar crédito de manera adecuada, brindar un enlace a la licencia, e indicar si se han realizado cambios. Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante.
- CompartirIgual — Si remezcla, transforma o crea a partir del material, debe distribuir su contribución bajo la lamisma licencia del original.
- No hay restricciones adicionales — No puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otras a hacer cualquier uso permitido por la licencia.
-
