Academic literature on the topic 'TOPSIS'
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Journal articles on the topic "TOPSIS"
Su, Jiahui, and Yidi Sun. "An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises." Sustainability 15, no. 13 (June 25, 2023): 10046. http://dx.doi.org/10.3390/su151310046.
Full textMaharani, Septya, Holis Ridwanto, Heliza Rahmania Hatta, Dyna Marisa Khairina, and Muhammad Rivani Ibrahim. "Comparison of TOPSIS and MAUT methods for recipient determination home surgery." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 4 (December 1, 2021): 930. http://dx.doi.org/10.11591/ijai.v10.i4.pp930-937.
Full textYu, Liping, Wenhua Yang, Yunlong Duan, and Xinwen Long. "A Study on the Application of Coordinated TOPSIS in Evaluation of Robotics Academic Journals." Mathematical Problems in Engineering 2018 (July 11, 2018): 1–7. http://dx.doi.org/10.1155/2018/5456064.
Full textChen, Pengyu. "A Novel Coordinated TOPSIS Based on Coefficient of Variation." Mathematics 7, no. 7 (July 11, 2019): 614. http://dx.doi.org/10.3390/math7070614.
Full textChakraborty, Subrata. "TOPSIS and Modified TOPSIS: A comparative analysis." Decision Analytics Journal 2 (March 2022): 100021. http://dx.doi.org/10.1016/j.dajour.2021.100021.
Full textDewi, Ratih Kartika. "Group Decision Support System based on AHP-TOPSIS for Culinary Recommendation System." Jurnal Ilmu Komputer dan Informasi 12, no. 2 (July 8, 2019): 85. http://dx.doi.org/10.21609/jiki.v12i2.729.
Full textDewi, Ratih Kartika, Eriq Muhammad Adams Jonemaro, Agi Putra Kharisma, Najla Alia Farah, and Mury Fajar Dewantoro. "TOPSIS for mobile based group and personal decision support system." Register: Jurnal Ilmiah Teknologi Sistem Informasi 7, no. 1 (February 15, 2021): 43. http://dx.doi.org/10.26594/register.v7i1.2140.
Full textQuan, Huafeng, Shaobo Li, Hongjing Wei, and Jianjun Hu. "Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering." Symmetry 11, no. 7 (July 3, 2019): 867. http://dx.doi.org/10.3390/sym11070867.
Full textOkul, Deniz, Cevriye Gencer, and Emel Kizilkaya Aydogan. "A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application." International Journal of Information Technology & Decision Making 13, no. 05 (September 2014): 957–78. http://dx.doi.org/10.1142/s0219622014500175.
Full textZavadskas, Edmundas Kazimieras, Abbas Mardani, Zenonas Turskis, Ahmad Jusoh, and Khalil MD Nor. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015." International Journal of Information Technology & Decision Making 15, no. 03 (May 2016): 645–82. http://dx.doi.org/10.1142/s0219622016300019.
Full textDissertations / Theses on the topic "TOPSIS"
Pokorný, Tomáš. "Využití teorie fuzzy množin a jejich rozšíření v metodě TOPSIS." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-205686.
Full textZouggari, Akram. "Une approche couplant logique floue et capitalisation des connaissances pour la résolution du problème de choix des fournisseurs." Thesis, Metz, 2011. http://www.theses.fr/2011METZ032S/document.
Full textSupplier selection is nowadays one of the critical topics in supply chain management. This work presents a new decision making approach for group multi-criteria supplier selection problem, which clubs supplier selection process with order allocation for dynamic supply chains to cope market variations. More specifically, the developed approach imitates the knowledge acquisition and mani- pulation in a manner similar to the decision makers who have gathered considerable knowledge and expertise in procurement domain. Nevertheless, under many conditions, exact data are inadequate to model real-life situation and fuzzy logic can be incorporated to handle the vagueness of the decision makers. As per this concept, fuzzy-AHP method is used first for supplier selection through four classes (CLASS I: Performance strategy, CLASS II: Quality of service, CLASS III: Innovation and LASS IV: Risk), which are qualitatively meaningful. Thereafter, using simulation based fuzzy TOPSIS technique, the criteria application is quantitatively evaluated for order allocation among the selected suppliers. As a result, the approach generates decision-making knowledge, and thereafter, the developed combination of rules order allocation can easily be interpreted, adopted and at the same time if necessary, modified by decision makers. To demonstrate the applicability of the proposed approach, an illustrative example is presented and the results analyzed
Medina, Serrano Rubén. "Strategic Sourcing Management - A Multiple Criteria Decision Support Methodology with TOPSIS." Doctoral thesis, Universidad de Alicante, 2019. http://hdl.handle.net/10045/99670.
Full textDoubrava, Jiří. "Aplikace metod vícekriteriálního rozhodování v Bussiness Intelligence." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-198865.
Full textGablovičová, Petra. "Praktické užití metod operačního výzkumu při přípravě reálné zakázky." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-76622.
Full textČížek, Martin. "Obnova vozového parku zvolené společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-205417.
Full textArif-Uz-Zaman, Kazi. "A fuzzy TOPSIS based multi criteria performance measurement model for lean supply chain." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/63710/1/Kazi_Arif-Uz-Zaman_Thesis.pdf.
Full textLorentz, Andrew. "Design, construction and testing of an ascending micropenetrometer to measure soil crust resistance." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/8511.
Full textMARTINS, GUILHERME DE ANDRADE. "FUZZY AHP-TOPSIS MODEL FOR THE ASSESSMENT AND SELECTION OF RENEWABLE ENERGY GENERATION TECHNOLOGIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32222@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
A avaliação e seleção de tecnologias de geração de energia elétrica a partir de fontes renováveis visa melhorar a eficiência nas decisões de expansão dos sistemas elétricos em geral, elencando tecnologias mais adequadas em função de seus impactos ambientais, sociais, econômicos, técnicos e políticos. Os processos decisórios referentes à escolha de tecnologias de geração de energia caracterizam-se por subjetividade, incerteza e ambiguidade. Os métodos multicritério de apoio à decisão, combinados com a lógica dos conjuntos fuzzy constituem uma alternativa adequada para a modelagem de avaliação e seleção de tecnologias em ambientes sob incerteza. O objetivo principal desta dissertação é propor um modelo de avaliação e seleção de tecnologias para geração de energia elétrica a partir de fontes renováveis, com o auxílio de métodos multicritério fuzzy de apoio à decisão. A pesquisa pode ser considerada aplicada, descritiva e metodológica. Quanto aos meios de investigação, a metodologia compreende pesquisa bibliográfica e documental; pesquisa experimental, com a aplicação de métodos multicritério fuzzy de apoio à decisão para hierarquização de alternativas tecnológicas de energia elétrica a partir de fontes renováveis; e desenvolvimento de um estudo empírico no Estado do Rio de Janeiro. Destacam-se como resultados a seleção de tecnologias mais adequadas em função de seus impactos ambientais, sociais, econômicos, técnicos e políticos e a demonstração da aplicabilidade do modelo proposto. No caso do Estado do Rio de Janeiro, a tecnologia que se mostrou mais adequada, dado potencial de fontes renováveis, foi a solar fotovoltaica.
Assessment and selection of renewable energy generation technologies addresses to improve efficiency in electrical system expansion decisions, by selecting technologies that are more appropriate considering some criteria, like environmental, social, economic, technical and political. The decision-making processes regarding the choice of energy generation technologies are characterized by subjectivity, uncertainty and ambiguity. Multicriteria decision support method, combined with fuzzy logic, is an adequate alternative for measuring and evaluating the performance of technologies in environment under uncertainty. The main aim of this dissertation is to propose a model for selection the performance of technologies for electric power generation from renewable sources, with the support of multicriteria fuzzy decision-making methods. The research can be considered applied, descriptive and methodological. As for means of investigation, the methodology comprises bibliographical and documentary research; Experimental research, with the application of multicriteria fuzzy decision-making methods for hierarchization of technologies for electric power generation alternatives from renewable sources; and development of an empirical study in the State of Rio de Janeiro. The results highlight the selection of the most appropriate technologies according to their environmental, social, economic, technical and political impacts and the demonstration of the applicability of the proposed model. In the case of the State of Rio de Janeiro, the most appropriate technology, given the potential of renewable sources, was solar photovoltaic.
Yaakob, Abdul Malek Bin. "Multi criteria decision making methodology for fuzzy rule based systems and networks using TOPSIS." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/multi-criteria-decision-making-methodology-for-fuzzy-rule-based-systems-and-networks-using-topsis(8efb475a-4f98-4d5c-846d-f01b01328dda).html.
Full textBooks on the topic "TOPSIS"
Shih, Hsu-Shih, and David L. Olson. TOPSIS and its Extensions: A Distance-Based MCDM Approach. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09577-1.
Full textToplis, Paul A. Toplis, artist of Sark: The biography of Wm. A. Toplis, 1857-1942. Colchester: P. Toplis, 1995.
Find full textKilley, Roy W. Topics. (Chelmsford): Essex Institute of Higher Education, School of Information Resources, 1987.
Find full textAphrodisias, Alexander of, ed. Dialettica, genere e anima nel commento di Alessandro di Afrodisia al IV libro dei "Topici" di Aristotele: Introduzione, saggi di commento, traduzione e note. Milano: Vita e pensiero, 2017.
Find full textBayha, E. Validation tests of TOPSIM IV. Paris, France: European Space Agency, 1993.
Find full textBeaver, David. Accommodating topics. Amsterdam: Institute for Logic, Language and Competition, University of Amsterdam, 1994.
Find full textRolfs, Arndt, Hermann Christian Schumacher, and Peter Marx, eds. PCR Topics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75924-6.
Full textSchlesinger, George N. Timely Topics. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1057/9780230372740.
Full textBook chapters on the topic "TOPSIS"
Gomes, Maria Isabel, and Nelson Chibeles Martins. "TOPSIS and Fuzzy TOPSIS." In Mathematical Models for Decision Making with Multiple Perspectives, 117–44. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003015154-6.
Full textPapathanasiou, Jason, and Nikolaos Ploskas. "TOPSIS." In Multiple Criteria Decision Aid, 1–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91648-4_1.
Full textMateo, José Ramón San Cristóbal. "TOPSIS." In Multi Criteria Analysis in the Renewable Energy Industry, 43–48. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2346-0_7.
Full textShih, Hsu-Shih. "TOPSIS Variants." In Studies in Systems, Decision and Control, 33–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09577-1_3.
Full textShih, Hsu-Shih. "TOPSIS Applications." In Studies in Systems, Decision and Control, 201–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09577-1_9.
Full textShih, Hsu-Shih. "TOPSIS Basics." In Studies in Systems, Decision and Control, 17–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09577-1_2.
Full textEl Alaoui, Mohamed. "Fuzzy TOPSIS." In Fuzzy TOPSIS, 95–133. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-6-6.
Full textEl Alaoui, Mohamed. "Intuitionistic Fuzzy TOPSIS." In Fuzzy TOPSIS, 135–74. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-7-7.
Full textEl Alaoui, Mohamed. "Other Fuzzy TOPSIS Approaches." In Fuzzy TOPSIS, 175–97. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-8-8.
Full textEl Alaoui, Mohamed. "TOPSIS Methodology and Limits." In Fuzzy TOPSIS, 65–94. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-5-5.
Full textConference papers on the topic "TOPSIS"
Ahmad, Sharifah Aniza Sayed, and Daud Mohamad. "A comparative analysis between fuzzy topsis and simplified fuzzy topsis." In PROCEEDINGS OF THE 24TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Mathematical Sciences Exploration for the Universal Preservation. Author(s), 2017. http://dx.doi.org/10.1063/1.4995904.
Full textSilva, Marcela do Carmo, Carlos Francisco Simões Gomes, Reinaldo Castro Souza, and Marcos dos Santos. "A TOPSIS-2NE’s APPROACH." In ANAIS DO SIMPóSIO BRASILEIRO DE PESQUISA OPERACIONAL. João Pessoa - Paraíba, Brasil: Galoa, 2020. http://dx.doi.org/10.59254/sbpo-2020-122498.
Full textJaiswal, 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.
Full textSachdeva, Anish, Pradeep Kumar, and Dinesh Kumar. "Maintenance criticality analysis using TOPSIS." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5373388.
Full textNadaban, Sorin, and Simona Dzitac. "Neutrosophic TOPSIS: A general view." In 2016 6th International Conference on Computers Communications and Control (ICCCC). IEEE, 2016. http://dx.doi.org/10.1109/icccc.2016.7496769.
Full textMadi, Elissa Nadia, Jonathan M. Garibaldi, and Christian Wagner. "An exploration of issues and limitations in current methods of TOPSIS and fuzzy TOPSIS." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737950.
Full textElhassouny, Azeddine, and Florentin Smarandache. "Neutrosophic-simplified-TOPSIS Multi-Criteria Decision-Making using combined Simplified-TOPSIS method and Neutrosophics." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7738003.
Full textBafail, Omer A., and Reda M. S. Abdulaal. "A Combined BWM-TOPSIS Approach Versus AHP-TOPSIS Approach: An Application to Solid Waste Management." In IEIM 2022: 2022 The 3rd International Conference on Industrial Engineering and Industrial Management. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3524338.3524343.
Full textWeiwei, Yuan, Liu Richu, Zhang Yanqing, Sun Yanbin, Jiang Li, and Cui Lianxin. "TOPSIS based earth station marking method." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407795.
Full textKittur, Javeed, Poornanand. U. C, Pavankumar M.P, Prajwal Reddy, and Pavan R. Patil. "Optimal generation evaluation by TOPSIS method." In 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE). IEEE, 2016. http://dx.doi.org/10.1109/pestse.2016.7516448.
Full textReports on the topic "TOPSIS"
Stadnyk, Vаlentyna, Pavlo Izhevskiy, Nila Khrushch, Sergii Lysenko, Galyna Sokoliuk, and Tetjana Tomalja. Strategic priorities of innovation and investment development of the Ukraine's economy industrial sector. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4471.
Full textSpringer, Everett, and Hans-Peder Hanson. A Look At Topics and Topic Clusters for DOE Laboratories, 1996 - 2021. Office of Scientific and Technical Information (OSTI), July 2023. http://dx.doi.org/10.2172/1990076.
Full textMeredith, Austin Dean, and Alan Joseph Yamanaka, Jr. Advanced CSED Topics. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1481961.
Full textMcCallum, Jacob Bryan, and Amanda Sue Bowles Tomaszewski. Advanced CSED Topics. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1578003.
Full textPrudkov, Mikhail, Vasily Ermolaev, Elena Shurygina, and Eduard Mikaelyan. Electronic educational resource "Hospital Surgery for 5th year students of the Faculty of Pediatrics". SIB-Expertise, January 2024. http://dx.doi.org/10.12731/er0780.29012024.
Full textTerah, E. I. Methodical instructions: Tasks for classroom and extracurricular independent work of students in bioorganic chemistry for students of the specialties « General medicine», «Pediatrics». SIB-Expertise, January 2023. http://dx.doi.org/10.12731/er0666.20012023.
Full textGoncharova, O. V. Methodological support of the educational process: digital control and evaluation tools for conducting current control and intermediate certification in the discipline "Excursion study of nature at school" for students of the training direction 44.03.01 Pedagogical education, orientation (profile) Biology. SIB-Expertise, January 2023. http://dx.doi.org/10.12731/er0667.20012023.
Full textGrefenstette, John. Topics in Evolutionary Computation. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada398950.
Full textSmith, A. J. Stewart. Hot Topics from BABAR. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/808707.
Full textMahajan, S. Topics in inflationary cosmologies. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/5525131.
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