Relevant bibliographies by topics / Fuzzy anp

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Academic literature on the topic 'Fuzzy anp'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Fuzzy anp"

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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.

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The analytic hierarchical process/network process (AHP/ANP) is a popular multi-criteria decision making approach for determining the optimal alternative or weights of criteria. Many papers have extended the AHP/ANP to consider the fuzzy environment to reflect the subjective uncertainty of decision-makers. However, the fuzzy ANP (FANP) is not as popular as the fuzzy AHP (FAHP), because the calculation of the fuzzy supermatrix results in the divergence of the steady-state. In this paper, we provide a novel mathematical programming model to calculate the limiting distribution of the fuzzy supermatrix by considering a fuzzy inverse matrix rather than directly calculate the fuzzy supermatrix by limiting powers. In addition, we use a numerical example to illustrate the proposed method and compare the results with the previous method. The numerical results indicate the proposed method has the least spread of the fuzzy weights, thus justifying the usefulness of the proposed method.
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Okfalisa, 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.

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Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences. As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.
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Dargi, 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.

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Demirel, 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.

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Ozdemir, 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.

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In the previous paper, the store plan alternatives produced with shape grammar were evaluated using two of multi-criteria decision making techniques with triangular fuzzy numbers, namely fuzzy Analytic Hierarchy Process and fuzzy ANP. In addition to fuzzy Analytic Hierarchy Process and fuzzy ANP results, another multi-criteria decision making technique, the generalized Choquet integral method with trapezoidal fuzzy numbers, is used for evaluation and the result of this method is compared with fuzzy Analytic Hierarchy Process and fuzzy ANP results. The main contribution of this paper is to determine the interdependency among main criteria and subcriteria, the nonlinear relationship among them and the environmental uncertainties while prioritizing plan alternatives using the generalized Choquet integral method with the experts’ same data that evaluated in the previous study. To the authors’ knowledge, this will be the first interdisciplinary study which uses the generalized Choquet integral method in the field of architectural design.
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Jajimoggala, 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.

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An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.
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Hemmati, 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.

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PurposeThe purpose of this paper is to develop a fuzzy analytic network process (FANP) model to select the maintenance policy of an acid manufacturing company.Design/methodology/approachFour maintenance strategies of Corrective Maintenance (CM), Time-Based Maintenance (TBM), Condition-Based Maintenance (CBM) and Shutdown Maintenance (SM) are investigated to be considered for seven equipment of the case study. These equipment are almost new and include boiler, molten sulfur ponds, cooling towers, absorption tower, converter, sulfur fuel furnace and heat exchanger. Chang’s extended analysis has been employed to deal with fuzzy data and analyze the fuzzy decision matrices. The proposed approach is applied to a sulfuric acid production plant and the suitable maintenance policy is found for all seven equipment of the company.FindingsBased on the obtained results, the CBM policy is appropriate for high-risk (cooling tower) and high added value equipment (absorption tower). In addition, TBM is selected for boiler and converters while SM is selected for molten sulfur ponds. Finally, high-cost, low-risk and low added value equipment (sulfur fuel furnace and heat exchanger) are more appropriate with CM policy.Originality/valueThis research presents a novel idea to consider cost, risk and added value in the context of maintenance policy selection. From the methodological and theoretical features, this research offers new insights in this area since, to the best of the authors’ knowledge, no comparable study has been conducted before.
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Yu, 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.

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System sensitivity is an important basis for carrier aviation support system design and improvement. According to research presented fuzzy network analysis (Fuzzy-ANP) to achieve sensitivity analysis of carrier aviation support system. The first is based on ANP method to establish sensitivity analysis network model of carrier aviation support system, followed by the application of fuzzy theory to determine the weight of sensitivity analysis index, and finally enter specific technical parameters based on secondary subsystem or device of carrier aviation support system, sensitivity analysis, corrected analytical model, proposed carrier aviation support system design suggestions.
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Soesanto, 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.

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<p align="center"><strong>ABSTRAK</strong></p><p>Himpunan <em>fuzzy</em> merupakan perkembangan dari himpunan klasik. Himpunan <em>fuzzy</em> digunakan sebagai dasar dalam logika <em>fuzzy</em>. Logika <em>fuzzy</em> banyak diterapkan pada penelitian teknik pengambilan keputusan. Teknik pengambilan keputusan yang menerapkan logika <em>fuzzy</em> juga dapat digunakan dalam <em>Balanced ScoreCard</em> (BSC). Salah satu metode teknik pengambilan keputusan adalah <em>Fuzzy Analytic Hierarchy Process </em>(FAHP). FAHP telah diterapkan dalam BSC, namun tidak mencerminkan kondisi BSC sehingga diperlukan metode lain yang memperhatikan keterkaitan antar aspek, yaitu <em>Fuzzy Analytic Network Process </em>(FANP). FANP mampu memperbaiki kelemahan FAHP berupa kemampuan mengakomodasi keterkaitan antar kriteria atau alternatif. Paper ini membahas konsep pendekatan <em>Fuzzy</em> pada metode ANP menggunakan <em>extent analysis method</em><em> </em>untuk mengukur kinerja perusahaan berdasarkan indikator dalam perspektif BSC.</p><p><strong>Kata Kunci</strong>: <em>Balanced Scorecard</em> (BSC), Metode <em>extent analysis, Fuzzy Analytic Network Process</em> (FANP), <em>Triangular Fuzzy Number </em>(TFN)</p>
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Akbari, 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.

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In today’s changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network process (Fuzzy ANP). Defuzzification of decision makers’ judgments is handled by Converting Fuzzy data into Crisp Scores (CFCS) method. Fuzzy DEMATEL is applied to deal with inner dependencies among criteria. Fuzzy ANP is used to compute final ranking of four banks as an empirical example. An empirical study is presented to illustrate the application of the proposed method.
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Dissertations / Theses on the topic "Fuzzy anp"

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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.
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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.

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Navrátil, 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.

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This thesis is concerned with problematics of multi-criteria decision making, especially method DEMATEL, its modifications and combinations with another methods. There is description of particular steps of this methods and selected theory from various areas, which is used in these methods. In every chapter we can find theoretical explanation of these methods, description of their steps and afterwards these theoretical findings are applied on numerical example. Firstly, the crucial method is introduced. Then this thesis is concerned with its adjustments based, on different approaches, which are often used not only in decision making. In the end, all these findings are aggregated and new method is founded.
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Karásek, 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.

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The aim of this diploma thesis is refer to the supplier evaluation and selection process in business sphere. On the business sphere is putted emphasis because securing of company sources are more and more important parts of strategic decision making. In this paper is analyzed supplier selection problem and are analyzed most common methods to determine the best supplier. The goal of this paper is proposal of own program solution of evaluation and supplier selection build on evolution methods, specifically evolution algorithms. The part of this thesis is map of theoretical possibilities of evolution algorithms and implementation of program for solving supplier selection problem.
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Мартинков, Сергій Вікторович. "Системи підтримки прийняття рішень для керування проектами." Bachelor's thesis, Київ, 2019. https://ela.kpi.ua/handle/123456789/29452.

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Дипломна робота: 90 с., 17 табл., 32 рис., 1 додаток, 23 джерела. Об’єкт дослідження: процеси вибору постачальника для потреб проекту. Предмет дослідження: методи та засоби вибору постачальника для проекту. Мета дипломної роботи: дослідити методи та процеси вибору постачальника для проектів на прикладі компанії що займається перевезеннями, на основі методів fuzzy Decision-Making Trial and Evaluation Laboratory та fuzzy based Analytical Network Process. Результати: розроблено концептуальну модель стратегії вибору постачальника для проектів; удосконалено модель вибору критеріїв оцінки постачальників шляхом інтеграції методів fuzzy DEMATEL та fuzzy based ANP, створено засіб, що реалізує єдину комбіновану модель без допомоги стороннього програмного забезпечення, розроблено метод вибору постачальника проектів, проведено відповідні розрахунки. Програмний продукт було розроблено з використанням мови програмування C#, інтерфейс — використовуючи технології Windows Form.
Thesis: 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.
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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.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO 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.
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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.

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Zugl.: Saarbrücken, Universiẗat, Diss., 2003 u.d.T.: Hüsselmann, Claus: Unscharfe Informationen in der Unternehmensmodellierung - formale Integration von Unbestimmtheitsaspekten in die ereignisgesteuerte Geschäftsprozessmodellierung.
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Mezzomo, 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.

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In 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.
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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.

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Schindler, 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.

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Books on the topic "Fuzzy anp"

1

Boynton, Sandra. Fuzzy, fuzzy, fuzzy!: Touch, skritch, & tickle book. New York, NY: Little Simon, 2003.

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Fuzzy control and fuzzy systems. 2nd ed. Taunton, Somerset, England: Research Studies Press, 1993.

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Driankov, 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.

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Gottwald, Siegfried. Fuzzy Sets and Fuzzy Logic. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-86812-1.

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Mordeson, 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.

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Fuzzy control and fuzzy systems. Taunton, Somerset, England: Research Studies Press, 1989.

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1932-, Klir George J., and Yuan Bo, eds. Fuzzy sets, fuzzy logic, and fuzzy systems: Selected papers. Singapore: World Scientific, 1996.

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Wang, Pʻei-chuang. Fuzzy information processing and fuzzy computers. Beijing: Science Press, 1997.

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Li, Hong-Xing. Fuzzy sets and fuzzy decision-making. Boca Raton: CRC Press, 1995.

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Czogała, 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.

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Book chapters on the topic "Fuzzy anp"

1

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.

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Chan, 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.

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Öztayşi, 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.

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Qin, 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.

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Sadi-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.

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Souli, 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.

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Mikhailov, 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.

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Yang, 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.

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Senvar, 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.

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Aydogan, 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.

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Conference papers on the topic "Fuzzy anp"

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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.

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OZDEMIR, 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.

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Tong 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.

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Pang, 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.

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Shen, 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.

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Jinyu 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.

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"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.

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Huang, 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.

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Sun, 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.

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Jaiswal, 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.

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Reports on the topic "Fuzzy anp"

1

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.

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Tsidylo, 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.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest to the natural language. This closeness allows for closer interaction with a subject area expert and build well-understood, easily interpreted inference systems. The structure of a fuzzy system, functions and mechanisms of model building are described. The system is presented in the form of a block diagram of fuzzy logical nodes and consists of four input variables, corresponding to the levels of knowledge assimilation and one initial one. The surface of the response of a fuzzy system reflects the dependence of the final grade on the level of difficulty of the task and the degree of correctness of the task. The structure and functions of the fuzzy system are indicated. The modeled in this way intelligent system for assessing multilevel test tasks based on fuzzy logic makes it possible to take into account the fuzzy characteristics of the test: the level of difficulty of the task, which can be assessed as “easy”, “average", “above average”, “difficult”; the degree of correctness of the task, which can be assessed as “correct”, “partially correct”, “rather correct”, “incorrect”; time allotted for the execution of a test task or test, which can be assessed as “short”, “medium”, “long”, “very long”; the percentage of correctly completed tasks, which can be assessed as “small”, “medium”, “large”, “very large”; the final mark for the test, which can be assessed as “poor”, “satisfactory”, “good”, “excellent”, which are included in the assessment. This approach ensures the maximum consideration of answers to questions of all levels of complexity by formulating a base of inference rules and selection of weighting coefficients when deriving the final estimate. The robustness of the system is achieved by using Gaussian membership functions. The testing of the controller on the test sample brings the functional suitability of the developed model.
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Buyak, 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.

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The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowledge, abilities and skills of students. The quality of the system’s operation is determined by the use of various techniques for acquiring knowledge on the basis of which the knowledge base of the neuro-fuzzy system and the combination of the use of fuzzy and stochastic data will be formed.
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Esteva, 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.

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5

Maurer, 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.

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6

Smith, 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.

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Nelson, 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.

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Smith, 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.

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9

Tang, 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.

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Tang, 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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