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Статті в журналах з теми "Fuzzy anp"
Chen and Huang. "Deriving Fuzzy Weights of the Fuzzy Analytic Network Process via Fuzzy Inverse Matrix." Mathematics 7, no. 10 (October 1, 2019): 914. http://dx.doi.org/10.3390/math7100914.
Повний текст джерелаOkfalisa, Okfalisa, Hidayati Rusnedy, Dwi Utari Iswavigra, B. Pranggono, Elin Haerani Haerani, and Saktioto Saktioto. "DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING." SINERGI 25, no. 1 (November 11, 2020): 101. http://dx.doi.org/10.22441/sinergi.2021.1.013.
Повний текст джерелаDargi, Ahmad, Ali Anjomshoae, Masoud Rahiminezhad Galankashi, Ashkan Memari, and Masine Binti Md Tap. "Supplier Selection: A Fuzzy-ANP Approach." Procedia Computer Science 31 (2014): 691–700. http://dx.doi.org/10.1016/j.procs.2014.05.317.
Повний текст джерелаDemirel, Nihan Çetin, G. Nilay Yücenur, Tufan Demirel, and Hande Muşdal. "Risk-Based Evaluation of Turkish Agricultural Strategies using Fuzzy AHP and Fuzzy ANP." Human and Ecological Risk Assessment: An International Journal 18, no. 3 (May 2012): 685–702. http://dx.doi.org/10.1080/10807039.2012.672902.
Повний текст джерелаOzdemir, Yavuz, and Sahika Ozdemir. "Extended prioritizing of store plan alternatives produced with shape grammar using the generalized Choquet integral method." Environment and Planning B: Urban Analytics and City Science 46, no. 5 (November 8, 2017): 931–47. http://dx.doi.org/10.1177/2399808317739892.
Повний текст джерелаJajimoggala, Sarojini, V. V. S. Kesava Rao, and Beela Satyanarayana. "Maintenance Strategy Evaluation Using ANP and Goal Programming." International Journal of Strategic Decision Sciences 2, no. 2 (April 2011): 56–77. http://dx.doi.org/10.4018/jsds.2011040104.
Повний текст джерелаHemmati, Narges, Masoud Rahiminezhad Galankashi, Din Mohammad Imani, and Hiwa Farughi. "Maintenance policy selection: a fuzzy-ANP approach." Journal of Manufacturing Technology Management 29, no. 7 (November 5, 2018): 1253–68. http://dx.doi.org/10.1108/jmtm-06-2017-0109.
Повний текст джерелаYu, Yong Tao, and Ying Ding. "Sensitivity Analysis of Carrier Aviation Support System Based on Fuzzy-ANP." Applied Mechanics and Materials 574 (July 2014): 569–76. http://dx.doi.org/10.4028/www.scientific.net/amm.574.569.
Повний текст джерелаSoesanto, Oni, Muhammad Mahfuzh Shiddiq, and Oktarini Oktarini. "ANALYTIC NETWORK PROCESS (ANP) PADA BALANCED SCORECARD (BSC) DENGAN PENDEKATAN FUZZY." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 3, no. 2 (October 5, 2016): 205. http://dx.doi.org/10.20527/klik.v3i2.56.
Повний текст джерелаAkbari, Fatemeh, Hamed Fazlollahtabar, and Iraj Mahdavi. "An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks." International Journal of Strategic Decision Sciences 4, no. 2 (April 2013): 48–78. http://dx.doi.org/10.4018/jsds.2013040104.
Повний текст джерелаДисертації з теми "Fuzzy anp"
Rodrigues, Letícia Reis. "Seleção de fornecedores sustentáveis utilizando Fuzzy DEMATEL-ANP." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9381.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
The issue of sustainability, which is an increasingly important consideration in the day-to-day operations of businesses, needs to be addressed in the context of supplier selection. The use of multi-criteria approaches in decisions concerning the selection of sustainable suppliers can be a valuable approach for helping to resolve the complexity of this process. A systematic review of the literature highlighted gaps in the research in this area, such as the lack of a detailed description of multi-criteria methods, as well as a scarcity of sustainability criteria that take into account the three main perspectives (Economic, Environmental, and Social). This work describes the development and real case application of a DEMATEL (Decision-Making Trial and Evaluation Laboratory) and ANP (Analytic Network Process) fuzzy modeling technique for the selection of sustainable suppliers. The methodological approach used in the research was quantitative, descriptive, and empirical. The modeling and simulations were performed using MATLAB®. Incorporation of the specificities of the process of selection of sustainable suppliers makes the model a useful tool for use by both businesses and researchers concerned with the issue of sustainability. A systematic review of the published research highlights the main state-of-art methods and criteria used for the selection of green and sustainable suppliers. The model is described in a framework highlighting each step of the application. It was subsequently applied by a major glass packaging company, where the supply chain coordinator agreed to assist in the research. The outputs of the second phase of the model showed that the Economic cluster was most important and interacted with the Environmental cluster, while the Social cluster remained practically inert, without interactions with the other clusters. For the three perspectives, the three most influential criteria were as follows: cost, compliance, and quality (Economic perspective); environmental certifications/ISO 14001, reuse/recovery, and pollution control (Environmental perspective); and stakeholder rights, respect for policies, and encouragement of the development of self-sustainable recycling programs (Social perspective). Finally, a supplier was selected using the framework presented, and the criteria that most influenced the decision were highlighted. The procedure developed here offers a tool to assist businesses searching for sustainable solutions, as well as researchers in the scientific community concerned with the development of knowledge in this area.
A temática sustentável, cada vez mais presente e atuante no cotidiano das operações das empresas precisa ser tratada no contexto da seleção de fornecedores. Aplicar abordagens de decisão multicritério para a seleção de fornecedores sustentáveis demonstra ser uma alternativa interessante a fim de lidar com a natureza complexa deste processo. Por meio de uma revisão sistemática da literatura foi possível destacar algumas lacunas de pesquisa, como a falta de uma visão detalhada dos métodos multicritérios e uma escassa abordagem de critérios sustentáveis, abordando as três perspectivas (Econômica, Ambiental e Social). Desta forma, o objetivo central da pesquisa é detalhar e aplicar em um caso real a modelagem fuzzy DEMATEL (Decision-making Trial and Evaluation Laboratory) e fuzzy ANP (Analytic Network Process) para a seleção de fornecedores sustentáveis. A abordagem metodológica empregada na pesquisa é quantitativa descritiva empírica, com aplicação de modelagem e simulação em MATLAB ®. Espera-se que o modelo possa internalizar as especificidades do processo de seleção de fornecedores sustentáveis de modo a tornar-se uma ferramenta útil às empresas e aos pesquisadores que estudam o método. A revisão sistemática da pesquisa pode destacar os principais métodos na literatura e os principais critérios utilizados pela seleção de fornecedores verdes e sustentáveis no estado da arte. O modelo foi detalhado em um framework, destacando-se cada passo da aplicação. Posteriormente foi aplicado em uma empresa de grande porte de embalagens vítreas, onde a coordenadora de Supply Chain se dispôs a auxiliar na pesquisa. Como saídas da segunda fase do modelo, o cluster Econômico revelou ser o mais importante e exerce influência sob o cluster Ambiental, já o cluster Social permanece praticamente inerte sem exercer ou receber influência. Também pode-se destacar que os três critérios mais influentes de cada perspectiva foram: ‘Custo’, ‘Compliance’ e ‘Qualidade’ na perspectiva Econômica; ‘Certificações Ambientais / ISO 14001’, Reuso / Recuperação e ‘Controle da Poluição’ na perspectiva Ambiental; e ‘Direitos dos Stakeholders’, ‘Respeito pelas políticas’ e ‘Incentivo ao desenvolvimento de programas de reciclagem auto-sustentáveis’ na perspectiva Social. Ao final, um fornecedor é escolhido com o framework apresentado, e os critérios mais influentes na decisão foram destacados. Esta discussão é válida para auxiliar empresas em busca de soluções sustentáveis e pesquisadores na área que desenvolvem o conhecimento para a comunidade científica.
Boltena, Abiot Sinamo [Verfasser]. "Neuro-Fuzzy-ANP-based Decision Model for ERP System Selection / Abiot Sinamo Boltena." Aachen : Shaker, 2014. http://d-nb.info/1058315471/34.
Повний текст джерелаNavrátil, Michal. "Metoda DEMATEL a její využití při řešení vícekriteriálních rozhodovacích problémů." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264663.
Повний текст джерелаKarásek, Jan. "Aplikace evolučních algoritmů při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222446.
Повний текст джерелаМартинков, Сергій Вікторович. "Системи підтримки прийняття рішень для керування проектами". Bachelor's thesis, Київ, 2019. https://ela.kpi.ua/handle/123456789/29452.
Повний текст джерелаThesis: 90 p., 17 tabl., 32 fig., 1 append., 23 sources. Object of research: the process of selecting a supplier for the needs of the project. Subject of research: methods and means of selecting a supplier for a project. The purpose of the thesis: to explore the methods and processes of selecting a vendor for projects for the transportation company based on the methods of the Fuzzy Decision-Making Trial and Evaluation Laboratory and the fuzzy based Analytical Network Process. Results: the conceptual model of the supplier selection strategy for the projects was developed; the model of selection of supplier evaluation criteria has been improved by integrating the methods of fuzzy DEMATEL and fuzzy based ANP, created a tool that implements a single combined model without the help of third-party software, the method of selecting a supplier of projects has been developed, appropriate calculations have been made The software product was developed using the C # programming language, the interface — using the Windows Form technology.
LUZ, CARLOS EDUARDO SILVA DA. "INTEGRATED FUZZY ANP-QFD APPROACH APPLIED TO NEW DEFENSE PRODUCT DEVELOPMENT: A PROPOSAL OF A CONCEPTUAL MODEL FOR DETERMINING AND PRIORITIZING OF PROJECT REQUIREMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33043@1.
Повний текст джерелаCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
A abordagem Quality Function Deployment (QFD) integrada a métodos multicritério de apoio à decisão vem sendo amplamente aplicada a projetos de novos produtos, particularmente quando integrada à lógica fuzzy. O objetivo da dissertação é propor um modelo conceitual baseado na abordagem fuzzy ANP-QFD para definir e priorizar requisitos de projeto de novos produtos de defesa à luz de requisitos dos clientes. A pesquisa pode ser considerada descritiva, metodológica e aplicada. A partir dos resultados da revisão bibliográfica e documental sobre os temas centrais da pesquisa, desenvolveu-se um modelo conceitual para definição e priorização de requisitos técnicos de novos produtos de defesa, buscando-se preencher lacunas identificadas na literatura especializada no período 1987-2017. A aplicabilidade do modelo foi demonstrada mediante um estudo empírico no âmbito do Projeto COBRA 2020, uma iniciativa estratégica do Exército brasileiro. Para este estudo, selecionou-se um dos produtos do referido Projeto – um monóculo de visão térmica. Destacam-se como principais contribuições da pesquisa um modelo para definir e priorizar requisitos de projeto de novos produtos de defesa, que considera a complexidade, subjetividade e incerteza como características inerentes a projetos de novos produtos de defesa. Os resultados desta pesquisa poderão ser replicados em outros projetos de novos produtos de defesa – no Centro Tecnológico do Exército – CTEx – e em outras instituições militares envolvidas com atividades de pesquisa, desenvolvimento e inovação (PDeI) no Brasil e no exterior.
The Quality Function Deployment (QFD) approach integrated with multicriteria decision-support methods has been widely applied to development of new product, particularly with the support of fuzzy logic. The objective of this dissertation is to propose a conceptual model based on the fuzzy ANP-QFD approach to define and prioritize project requirements of new defense products. The research can be considered descriptive, applied, and methodological. Based on the results of the bibliographic and documentary review on the central themes of the research, a conceptual model was developed to determine and prioritize project requirements of new defense products, seeking to fill gaps identified during the literature review covering the period of 1987-2017. The applicability of the model was demonstrated by an empirical case study having as experimental context the Project COBRA 2020, a strategic initiative of the Brazilian Army. For this study, one of new products to be developed within this Project was selected – a monocle of thermal vision. The main contribution of the research is a model for determining and prioritizing project requirements of new defense products, which considers the complexity, subjectivity, and uncertainty as inherent characteristics to the design of new defense products. The research findings could be replicated in other projects of new defense products - at the Army Technological Center - CTEx - and other military institutions dealing with research, development and innovation (RDandI) activities in Brazil and abroad.
Hüsselmann, Claus. "Fuzzy-Geschäftsprozessmanagement /." Lohmar ; Köln : Eul, 2003. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010483351&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаMezzomo, Ivan. "On fuzzy ideals and fuzzy filters of fuzzy lattices." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18692.
Повний текст джерелаIn the literature there are several proposals of fuzzi cation of lattices and ideals concepts. Chon in (Korean J. Math 17 (2009), No. 4, 361-374), using the notion of fuzzy order relation de ned by Zadeh, introduced a new notion of fuzzy lattice and studied the level sets of fuzzy lattices, but did not de ne a notion of fuzzy ideals for this type of fuzzy lattice. In this thesis, using the fuzzy lattices de ned by Chon, we de ne fuzzy homomorphism between fuzzy lattices, the operations of product, collapsed sum, lifting, opposite, interval and intuitionistic on bounded fuzzy lattices. They are conceived as extensions of their analogous operations on the classical theory by using this de nition of fuzzy lattices and introduce new results from these operators. In addition, we de ne ideals and lters of fuzzy lattices and concepts in the same way as in their characterization in terms of level and support sets. One of the results found here is the connection among ideals, supports and level sets. The reader will also nd the de nition of some kinds of ideals and lters as well as some results with respect to the intersection among their families. Moreover, we introduce a new notion of fuzzy ideals and fuzzy lters for fuzzy lattices de ned by Chon. We de ne types of fuzzy ideals and fuzzy lters that generalize usual types of ideals and lters of lattices, such as principal ideals, proper ideals, prime ideals and maximal ideals. The main idea is verifying that analogous properties in the classical theory on lattices are maintained in this new theory of fuzzy ideals. We also de ne, a fuzzy homomorphism h from fuzzy lattices L and M and prove some results involving fuzzy homomorphism and fuzzy ideals as if h is a fuzzy monomorphism and the fuzzy image of a fuzzy set ~h(I) is a fuzzy ideal, then I is a fuzzy ideal. Similarly, we prove for proper, prime and maximal fuzzy ideals. Finally, we prove that h is a fuzzy homomorphism from fuzzy lattices L into M if the inverse image of all principal fuzzy ideals of M is a fuzzy ideal of L. Lastly, we introduce the notion of -ideals and - lters of fuzzy lattices and characterize it by using its support and its level set. Moreover, we prove some similar properties in the classical theory of - ideals and - lters, such as, the class of -ideals and - lters are closed under intersection. We also de ne fuzzy -ideals of fuzzy lattices, some properties analogous to the classical theory are also proved and characterize a fuzzy -ideal on operation of product between bounded fuzzy lattices L and M and prove some results.
Lee, John Wan Tung. "The discovery of fuzzy rules from fuzzy databases." Thesis, University of Sunderland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298322.
Повний текст джерелаSchindler, Günter. "Fuzzy-Datenanalyse durch kontextbasierte Datenbankanfragen /." Wiesbaden : DUV, Dt. Univ.-Verl, 1998. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=008199749&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаКниги з теми "Fuzzy anp"
Boynton, Sandra. Fuzzy, fuzzy, fuzzy!: Touch, skritch, & tickle book. New York, NY: Little Simon, 2003.
Знайти повний текст джерелаFuzzy control and fuzzy systems. 2nd ed. Taunton, Somerset, England: Research Studies Press, 1993.
Знайти повний текст джерелаDriankov, Dimiter, Peter W. Eklund, and Anca L. Ralescu, eds. Fuzzy Logic and Fuzzy Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58279-7.
Повний текст джерелаGottwald, Siegfried. Fuzzy Sets and Fuzzy Logic. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-86812-1.
Повний текст джерелаMordeson, John N., and Premchand S. Nair, eds. Fuzzy Graphs and Fuzzy Hypergraphs. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1854-3.
Повний текст джерелаFuzzy control and fuzzy systems. Taunton, Somerset, England: Research Studies Press, 1989.
Знайти повний текст джерела1932-, Klir George J., and Yuan Bo, eds. Fuzzy sets, fuzzy logic, and fuzzy systems: Selected papers. Singapore: World Scientific, 1996.
Знайти повний текст джерелаWang, Pʻei-chuang. Fuzzy information processing and fuzzy computers. Beijing: Science Press, 1997.
Знайти повний текст джерелаLi, Hong-Xing. Fuzzy sets and fuzzy decision-making. Boca Raton: CRC Press, 1995.
Знайти повний текст джерелаCzogała, Ernest, and Jacek Łęski. Fuzzy and Neuro-Fuzzy Intelligent Systems. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1853-6.
Повний текст джерелаЧастини книг з теми "Fuzzy anp"
Sumalatha, Konatham, and M. S. Anbarasi. "Cloud Service Selection Using Fuzzy ANP." In Digital Democracy – IT for Change, 59–70. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2723-1_7.
Повний текст джерелаChan, Hing Kai, and Xiaojun Wang. "Fuzzy-ANP Approach for Environmental Risk Assessment of Product Designs." In Fuzzy Hierarchical Model for Risk Assessment, 135–53. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5043-5_8.
Повний текст джерелаÖztayşi, Başar, Seda Uğurlu, and Cengiz Kahraman. "Assessment of Green Energy Alternatives Using Fuzzy ANP." In Assessment and Simulation Tools for Sustainable Energy Systems, 55–77. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5143-2_3.
Повний текст джерелаQin, Jindong, and Xinwang Liu. "Interval Type-2 Fuzzy Decision Making Based on ANP." In Type-2 Fuzzy Decision-Making Theories, Methodologies and Applications, 107–28. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9891-9_6.
Повний текст джерелаSadi-Nezhad, Soheil, Leila Etaati, and Ahmad Makui. "A Fuzzy ANP Model for Evaluating E-Learning Platform." In Trends in Applied Intelligent Systems, 254–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13022-9_26.
Повний текст джерелаSouli, Mounira, Ahmed Badreddine, and Taieb Ben Romdhane. "A New Model to Implement a SWOT Fuzzy ANP." In Advances in Artificial Intelligence: From Theory to Practice, 446–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60042-0_49.
Повний текст джерелаMikhailov, Ludmil, and Tarifa S. Almulhim. "Fuzzy ANP Approach for Selection of Group Health Insurance Plans." In IFMBE Proceedings, 996–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_249.
Повний текст джерелаYang, Wei Zhong, Yu Hui Ge, Bin Xiong, and Xiang Bing Wang. "Petroleum Contaminated Site Remedial Countermeasures Selection Using Fuzzy ANP Model." In Computer Science for Environmental Engineering and EcoInformatics, 224–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22691-5_39.
Повний текст джерелаSenvar, Ozlem, Umut Rifat Tuzkaya, and Cengiz Kahraman. "Supply Chain Performance Measurement: An Integrated DEMATEL and Fuzzy-ANP Approach." In Supply Chain Management Under Fuzziness, 143–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53939-8_7.
Повний текст джерелаAydogan, Furkan, and Ilke Bereketli Zafeirakopoulos. "Leg Base Airline Flight Carbon Emission Performance Assessment Using Fuzzy ANP." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 812–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_97.
Повний текст джерелаТези доповідей конференцій з теми "Fuzzy anp"
Tolga, A. Cagri, Fatih Tuysuz, and Cengiz Kahraman. "Fuzzy real option value integrated fuzzy ANP method for location selection problems." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584655.
Повний текст джерелаOZDEMIR, YAVUZ, HUSEYIN BASLIGIL, and MUHAMMET FATIH AK. "AIRPORT SAFETY RISK EVALUATION BASED ON FUZZY ANP AND FUZZY AHP." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0163.
Повний текст джерелаTong Wu, Xin-Wang Liu, and Shu-Li Liu. "A fuzzy ANP with interval type-2 fuzzy sets approach to evaluate enterprise technological innovation ability." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7337987.
Повний текст джерелаPang, Bohui. "A Fuzzy ANP Approach to Supplier Selection Based on Fuzzy Preference Programming." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5304501.
Повний текст джерелаShen, Kao-Yi, Min-Ren Yan, and Gwo-Hshiung Tzeng. "An integrated Fuzzy-ANP model for value investing." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569162.
Повний текст джерелаJinyu Wei and Aifen Sun. "The selection of supplier based on fuzzy-ANP." In 2009 International Conference on Future BioMedical Information Engineering (FBIE). IEEE, 2009. http://dx.doi.org/10.1109/fbie.2009.5405867.
Повний текст джерела"FUZZY ANP - A Analytical Network Model for Result Merging for Metasearch using Fuzzy Linguistic Quantifiers." In International Conference on Fuzzy Computation. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003059400730078.
Повний текст джерелаHuang, Chien-Ke, Chi-Hui Wu, Jing Li, and Chih-Ling Hsieh. "Determinants of Technological Innovation Capabilities: Using Fuzzy-DEMATEL and ANP." In 2nd International Conference on Finance, Economics, Management and IT Business. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009412101060114.
Повний текст джерелаSun, Chun-ling, and Ran Bi. "Application of Fuzzy ANP in Assessing Knowledge Management Performance." In 2008 International Seminar on Business and Information Management (ISBIM). IEEE, 2008. http://dx.doi.org/10.1109/isbim.2008.147.
Повний текст джерелаJaiswal, Akshay, and R. B. Mishra. "Cloud Service Selection Using TOPSIS and Fuzzy TOPSIS with AHP and ANP." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3036290.3036312.
Повний текст джерелаЗвіти організацій з теми "Fuzzy anp"
Kersten, Paul R. Fuzzy Order Statistics and Their Application to Fuzzy Clustering. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada368624.
Повний текст джерелаTsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4370.
Повний текст джерелаBuyak, Bogdan B., Ivan M. Tsidylo, Victor I. Repskyi, and Vitaliy P. Lyalyuk. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2669.
Повний текст джерелаEsteva, Francesc. On Negations and Algebras in Fuzzy Set Theory. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada604012.
Повний текст джерелаMaurer, W. J., and F. U. Dowla. Seismic event interpretation using fuzzy logic and neural networks. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10139515.
Повний текст джерелаSmith, James F., and III. A Fuzzy Logic Multisensor Association Algorithm: Theory and Simulation. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada330176.
Повний текст джерелаNelson, Bruce, and Ammon Birenzvigo. Linguistic-Fuzzy Classifier for Discrimination and Confidence Value Estimation. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada426951.
Повний текст джерелаSmith, James F., Rhyne III, and II Robert D. Fuzzy Logic Resource Management and Coevolutionary Game-based Optimization. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada390559.
Повний текст джерелаTang, Yu, and Kung C. Wu. Active structural control by fuzzy logic rules: An introduction. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/448036.
Повний текст джерелаTang, Y. Active structural control by fuzzy logic rules: An introduction. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/123263.
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